Resources

The latest in drug discovery, from novel targets and screening tools through to automation and computational chemistry

Neuroscience Discovery

Beyond Traditional Therapeutics: How Digital Therapeutics Reshape Neurological and Neuropsychiatric Treatments

Two case studies show how digital therapeutics can potentially treat neurological and neuropsychiatric conditions, areas where conventional therapeutics have encountered obstacles.
Targeted Protein Degradation

From Screening to Success: How Molecular 'Super-Glue' SJ3149, Could Advance Cancer Treatments

Researchers at St Jude Children's Research Hospital used high throughput screening (HTS) to identify SJ3149, a molecular glue degrader. This small molecule demonstrated efficacy across a range of cancer types.
AI, Machine Learning & Computational Drug Design

Novo Nordisk Foundation and NVIDIA to Launch a State-of-the-Art National AI Research Centre

Novo Nordisk and NVIDIA join forces to build an AI supercomputer which will be housed in Denmark's national centre for AI innovation.
AI, Machine Learning & Computational Drug Design

AI-driven High Throughput Screening for Targeted Drug Discovery

Artificial Intelligence (AI) has significantly transformed high throughput screening (HTS) in drug discovery, increasing efficiency, accuracy, and predictive capabilities in early drug development stages. This research highlights AI's integration into HTS processes, showcasing improved outcomes in hit identification, assay optimization, and target validation, thus accelerating and refining the search for new medications.
Target Based Discovery

Post-Event Proceedings – Discovery Europe 2023

Concise and insightful summaries of presentations delivered by prominent thought leaders at Discovery Europe 2023.
SmartLabs & Automation

Post-Event Proceedings – Pharmaceutical Mobile Robotics 2023

Concise and insightful summaries of presentations delivered by prominent thought leaders at Pharmaceutical Mobile Robotics 2023.
SmartLabs & Automation

Post-Event Proceedings – SmartLabs Automation 2023

Concise and insightful summaries of presentations delivered by prominent thought leaders at SmartLabs Automation 2023.

eBook: Sustainability & Green Innovations in Pharma and Healthcare

Read how innovators are transforming the industry towards one that prioritizes both healthy patients and a healthy planet.
AI, Machine Learning & Computational Drug Design

NeuralPLexer2 - Has AlphaFold2 Met Its Match?

Iambic Therapeutics’ protein structure predictive model, NeuralPLexer2, surpasses AlphaFold2’s abilities.

Top R&D Stories of 2023

Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
AI, Machine Learning & Computational Drug Design

AutoPrognosis, An Innovative Tool Used to Predict Lung Cancer Risk

Machine learning model paves the way for predicting lung cancer.
AI, Machine Learning & Computational Drug Design

From Theory to Therapy: Accelerating Ligand-Based Virtual Screening with AI and ML Technologies

Discover the transformative role of AI and ML in improving ligand-based virtual screening outcomes, from breakthrough drug candidate identification to overcoming challenges in data quality and computational resources
SmartLabs & Automation

Bruker Corp to buy Chemspeed in ramp-up of automation portfolio

Automation of laboratory workflows can improve the speed and efficiency of QC and R&D; the acquisition represents the development of Bruker’s entry into the field.
SmartLabs & Automation

Automation in Medicinal Chemistry: A Look at Synthesis Advances

Medicinal chemistry is rapidly advancing with the integration of automation technologies, which are revolutionizing the synthesis and development of new drugs by enhancing efficiency, precision, and creativity.
Neuroscience Discovery

University of Pennsylvania and FAST to Develop AAV Gene Therapy for Angelman Syndrome

The collaboration hopes to develop a AAV gene therapy for rare genetic disease Angelman syndrome.
Targeted Protein Degradation

Targeting Novel E3 Ubiquitin Ligases: Carles Galdeano, Professor, University of Barcelona

We discuss working on PROTACs, targeting novel E3 ubiquitin ligases, and Dr Galdeano's spin out Oniria Therapeutics.
Organ Modelling Discovery

Spheroids, Assembloids Could Unlock High Throughput Screening of Neuro Drugs

These spheroids can mimic different sections of the human brain based on their cell-type composition, and promisingly could enable high-throughput screening of neurology drugs.
Targeted Protein Degradation

Talking TPD with Ben Cross, CTO and Head of Platform at PhoreMost

Delving into PhoreMost's role in targeted protein degradation, the innovation behind the SITESEEKER platform, and the challenges and breakthroughs in the dynamic field of drug discovery.
Target Based Discovery

Pivot Park Screening Centre: We Help You to Accelerate Drug Discovery

Are you looking for lead candidate compounds for your target or cellular phenotype, and do you want your drug discovery program to be more efficient, both in terms of time and cost?
AI, Machine Learning & Computational Drug Design

Interview with Sridevi Nagarajan, Head Digital Regulatory Strategy at AstraZeneca

AstraZeneca’s Sridevi Nagarajan discusses the importance of artificial intelligence, strategic collaboration, and the role of the metaverse in unlocking the future of digital regulatory.
Pharma Data

Funding Opportunity Announced for Generating Real-World Evidence in Regulatory Decision-Making

The U.S. Food and Drug Administration (FDA) is encouraging pharmaceutical developers to submit real-world evidence in support of regulatory applications.
Organ Modelling Discovery

Vascular Organoids used to Model the Impact of COVID-19 on Circulation

Researchers have used vascular organoids to look at the impact of SARS-CoV-2 on blood circulation, which has led to the discovery of a potential therapeutic target.
Medicinal Chemistry & Drug Design

Biophysical Tools for the Design and Development of PROTACs

Protein degradation has emerged as a promising new field of therapeutics. What are biophysical tools are employed for the characterisation of these drugs?
Targeted Protein Degradation

Challenges and Opportunities in Targeted Protein Degradation: Current and Future Strategies

Discussing the challenges and strategies in targeted protein degradation (TPD), a promising therapeutic modality with the potential to drug difficult or "undruggable" protein targets.
SmartLabs & Automation

Smart Labs for Smart Research: Advanced Robotic Solutions Through Automated Development

‘Smart labs’ is a term that is incredibly prevalent in the world of pharma data management. But what are the building blocks of these laboratories that are proving ever-more important in modern research?
Pharma Data

The Evolution of Pharma Data Practices

Pharma data practices have evolved with the times. Today, approaches such as AI and machine learning afford the opportunity to enhance drug development and safety, culminating in AI-driven insights that promise better patient outcomes.
Pharma Data

Array Insights Launches a Data Federation Platform to Help Advance Collaborative Health Research

Pharma data company Array Insights has launched a cutting-edge data federation platform to enable patient-focused organisations to securely access and share patient data for collaborative healthcare research while prioritising patient privacy.
Organ Modelling Discovery

Experts Discuss Next Generation Organoids: Challenges and the Future

How do scientists secure the tissue they need? Should scientists be careful with the words they use for next generation technologies? And why is validation for organ modelling so important?
Pharma Data

FAIR Metadata: Management and Principles

Metadata is a crucial aspect of implementing FAIR data principles and practices. Without metadata, you have no view of what is going on with your unstructured data, context as to what the data is or what it is for.
Organ Modelling Discovery

Changing How We Look at Tumours

Building 3D cell culture models for predictive in vivo and translational results
SmartLabs & Automation

End-To-End Automation: A Journey Towards Heightened Laboratory Efficiency

In this Commentary article, we explore the applications of end-to-end automation in accelerating workflows through the use of robotics and informatics.
Target Based Discovery

Navigating DEL Screening from Hit to Lead

The panel at Drug Discovery US discussed hit finding technologies, protein availability for screening, and hit-to-lead transition.
Neuroscience Discovery

Challenges in Developing Organoids for Neuroscience

Oxford Global’s panel discussion: Translational Models from 3D to Animal Model of Disease – Neuroscience, asked experts to share their experience of developing organoids for translational neuroscience.
Organ Modelling Discovery

Cultrex™ Extracellular Matrix And Proteins

CultrexTM Basement Membrane Extract (BME)
Neuroscience Discovery

Prothena and Evotec Score Major Deals with Bristol Myers Squibb for Neuroscience Breakthroughs

Prothena will receive $55 million to license its clinical Alzheimer's drug candidate, while Evotec will receive $40 million for its late-stage clinical programs.
Pharma Data

A Guide to Successful Real World Evidence Implementation

How can you overcome challenges and unleash the potential of Real-World Evidence for impactful healthcare insights?
Organ Modelling Discovery

Scientists Create Transparent Mouse to Advance Preclinical Medicine

The method, known as tissue clearing and immunolabeling, enables the detection of tumours at the single-cell level.
AI, Machine Learning & Computational Drug Design

What is AlphaFold?

AlphaFold is the protein folding solution that took computational biology by storm, but has the protein folding problem been well and truly solved?
Organ Modelling Discovery

Newcells Products and Services

We build custom, functional in vitro models, mimicking in vivo physiology, to improve clinical translation and accelerate drug discovery
Targeted Protein Degradation

Interview with Yusuke Tominari, Co founder and CEO of Fimecs

Yusuke will be giving a keynote presentation at Discovery Europe 2023 titled 'Targeted Protein Degradation And Addressing Undruggable Targets'.
Target Based Discovery

Admescope: a Symeres Company

Your ADME-Tox Research Partner
Target Based Discovery

Tailor-made ADME-Tox

Admescope is a contract research organisation (CRO) providing the pharmaceutical industry with tailor-made ADME-Tox services to support the discovery and development of small molecules and biologics.
Organ Modelling Discovery

Cultrex™ Products for Physiologic Cell Culture

R&D Systems products for physiologic cell culture recreate tissue microenvironments to elicit in vivo structure and function for cells in vitro.
Organ Modelling Discovery

Biotechne: Proteins for Stem Cell Culture

Optimize your stem cell cultures with r&d systems™ cytokines and growth factors.
Target Based Discovery

Biotechne: Your Complete Protein Analysis Solution

Simple Western With Jess
Target Based Discovery

Biotechne: Your Complete Protein Analysis Solution

Protein analysis comes with many challenges—labor-intensive protocols increase time to result and multiple hands-on steps increase user error and data variability
Target Based Discovery

Biotechne: Service and Support Plans

Proteinsimple, a bio-techne brand, is here to support your research at every step of the way.
AI, Machine Learning & Computational Drug Design

Causaly Cloud: Find evidence – Not Documents

The fastest way to find evidence, explore hidden connections, and make new predictions
Pharma Data

Unlocking Insights: The Challenges and Future of Multi-Omics Data Integration

As the capacities of multi-omics integration continue to grow, key opinion leaders discuss the main setbacks and outlooks for the field.
AI, Machine Learning & Computational Drug Design

Leading Perspectives on Using AI Tools to Drive Drug Design

Our expert panel discuss the implementation of AI and ML tools for drug design: predictive models, computational chemistry, and AlphaFold.
Organ Modelling Discovery

Addressing the Challenges of Cell Models in Research and Drug Discovery

The complexities of developing cell models and testing novel therapies: considering throughput, consistency, and reproducibility.
SmartLabs & Automation

Willem Einthoven: Father of the Electrocardiograph

In honour of World Heart Rhythm Awareness Week, we take a look at the man who changed the face of heart rate monitoring.
AI, Machine Learning & Computational Drug Design

University of Sydney Enters New Drug Discovery AI Partnership with Pharos Tx

The collaboration involves granting the university access to Pharos' proprietary AI platform, Chemiverse, while Pharos will collaborate with the university's drug discovery researchers and infrastructure.
SmartLabs & Automation

A Real Step Forward: Brain-Spine Interface Allows Man to Walk Again

A Swiss research team have succeeded in creating a brain-spine interface capable of restoring movement to paralysed limbs.
Neuroscience Discovery

Investigating Target Identification and Validation Modelling in Neurodegenerative Disease

The significance of reproducibility, fidelity, and translatability in models, as well as the importance of using multiple models to cross-validate therapeutic targets.
Organ Modelling Discovery

Host Microbiome Interactions in Inflammatory Bowel Disease

In conversation with Dr Neil McCarthy, MRC Career Development Fellow, Centre for Immunobiology, The Blizard Institute, Queen Mary University of London.
SmartLabs & Automation

Robotic Surgery: Pioneering Precision in Medical Advancements

Robotic surgery continues to change the face of medical procedures, but what were its origins and where might the future take it?
Target Based Discovery

Potential Antidote Discovered for Centuries-Old Toxic Mushroom

Researchers have discovered a potential antidote, indocyanine green (ICG), for the highly toxic death cap mushroom, Amanita phalloides.
AI, Machine Learning & Computational Drug Design

Interview with Jissy Akkarapattiakal Kuriappan, Principal Investigator, Drug Discovery at Alembic Pharmaceuticals

Jissy Akkarapattiakal Kuriappan, Principal Investigator, Drug Discovery at Alembic Pharmaceuticals, discusses using AI to promote drug discovery, the problem with using AI as a black box, and whether AI and ML are a worthwhile investment.
Organ Modelling Discovery

Cerebral Organoids: the Sci-Fi Organ Model Explaining our Brains

These miniature brain replicas, cultivated from patient-derived stem cells, provide a unique window into the intricacies of brain development.
Medicinal Chemistry & Drug Design

RNA Interference: Looking Back at the 2006 Nobel Prize

Fire and Mello’s research has unlocked a powerful new therapeutic technology: silencing genes with siRNA.
Organ Modelling Discovery

The building blocks of organoid research

Organoid models include three-dimensional (3D) cell culture systems that closely resemble in vivo organs or tissues.
Pharma Data

Digital Biomarkers: Addressing Unmet Needs

Digital biomarkers are rapidly being adopted to provide quality insights into patient health. David Nobbs, Biomarker Disease Area Lead at Roche and Valentin, Data Analytics Leader at GSK share how their companies are using digital biomarkers.
Organ Modelling Discovery

Ex Vivo Propagation in a Novel 3d High?throughput Co?culture System For Multiple Myeloma

Multiple myeloma (MM) remains an incurable hematologic malignancy which ultimately develops drug resistance and evades treatment. Despite substantial therapeutic advances over the past years, the clinical failure rate of preclinically promising anti-MM drugs remains substantial.
Organ Modelling Discovery

PeproGMP Cytokines

Helping unlock the promise of cellular therapies and regenerative medicines.
Neuroscience Discovery

Nasal Spray Shows Remarkable Efficacy in Easing Social Anxiety: Vistagen's Fasedienol Promises New Hope

Positive phase III results propel innovative pherine nasal spray as potential game-changer for millions struggling with social anxiety disorder. Vistagen's novel mechanism of action sparks optimism after previous setback.
AI, Machine Learning & Computational Drug Design

Harnessing the Power of AI/ML Integration in SmartLabs: Balancing Potential and Challenges

How will SmartLab development be shaped in the coming years as AI/ML integration continues to be implemented?
Organ Modelling Discovery

A Tumor-on-a-Chip System with Bioprinted Blood and Lymphatic Vessel Pair

A 2D model cannot accurately replicate the intricacies of tumor microenvironments, leading to difficulty in identifying effective anticancer drugs.
Organ Modelling Discovery

Allevi 3 Our Most Versatile Lab Adapted Bioprinter

Bring your work to life.
Organ Modelling Discovery

Allevi 2 Small but MIGHTY

Bring your work to life.
Organ Modelling Discovery

Allevi 1 Designed to do MORE for less

Bring your work to life.
Organ Modelling Discovery

Allevi Bioprinting Customized Solutions

We are the ABCS of Bioprinting! Full service Bioprinting Solutions: Bioprinters | Biomaterials | Bioprinting Consultation
Organ Modelling Discovery

RepliGut® Custom Services

Recreating the human intestinal epithelium.
Organ Modelling Discovery

RepliGut® Planar Kits

Recreating the human intestinal epithelium.
Organ Modelling Discovery

RepliGut® Model Systems

Recreating the human intestinal epithelium.
Pharma Data

Multi-Omics Data Analysis and Management

Data is one of the most important assets for a company but multi-omics data analysis is a challenging field.
Pharma Data

Interview with Vaishak Belle, Chancellor’s Fellow and Reader at the School of Informatics, University of Edinburgh 

Vaishak Belle, Chancellor’s Fellow and Reader at the University of Edinburgh, discusses his work on explainable AI and ethics.
SmartLabs & Automation

Verulam: Chronect XPR

Target Based Discovery

How DEL Screening is Used in Living Cells

Living cells create a more relevant physiological environment for DEL screening, says Dr Iolanda Micco, Associate Director of Chemistry & Alliances at Vipergen
AI, Machine Learning & Computational Drug Design

Interview with Martin Fergie, Lecturer in Health Sciences at the University of Manchester 

Martin Fergie, Lecturer in Health Sciences at the University of Manchester, discusses the challenges and future opportunities of AI and ML for bioinformatics.
Target Based Discovery

First Paediatric Patients Enrolled in Phase III Clinical Trial for Rare Genetic Disease

A clinical trial for the drug leniolisib will go ahead in studying paediatric patients with the rare genetic disease ADPS.
Organ Modelling Discovery

Organoids: Opening New Doors for Cancer Research

Organoids are three-dimensional tissue cultures grown from stem cells. They have been among the most important and exciting developments in medical sciences in the last decade.

Navigating the Pharma R&D Regulatory Landscape 2023

Our ‘Navigating the Regulatory Landscape’ eBook has been designed to provide you with invaluable insights into the intricacies of regulations & policies surrounding the challenges and opportunities of Real-World Data, genome editing, biomedical informatics, manufacturing and many more.
AI, Machine Learning & Computational Drug Design

Interview with Thierry Dorval, Head of Data Sciences & Data Management at Servier

Thierry Dorval from Servier talks about AI methods, their limitations, and how they are changing the way that data is viewed in the pharmaceutical industry.

Oxford Global's R&D Key 40 Stories 2022

Download a copy of the R&D Key 40 Stories 2022 eBook today.
AI, Machine Learning & Computational Drug Design

Using Breakthrough Computational Tools for Drug Design and Discovery: AI/ML and Quantum Computing

How quantum annealers, which use quantum mechanics to solve optimisation problems by finding the lowest energy state of a system, are being used for drug discovery.
Targeted Protein Degradation

Interview with Felix Hausch, Professor for Structure Based Drug Research at TU Darmstadt

Felix will deliver his presentation 'Clues for Molecular Glues' at Drug Discovery Europe 2023.
AI, Machine Learning & Computational Drug Design

Using ML with DEL: Philogen and Google Partner in New Study

The partnership has developed a new machine learning assisted-technique for DEL screening.
Neuroscience Discovery

Interview with Nicolas Vachicouras, CEO, Neurosoft Bioelectronics: Subdural Brain Interfaces

Talking with Nicolas Vachicouras, CEO of Neurosoft Bioelectronics about their subdural brain interface and its inaugural clinical testing for recording the human brain in the context of an epilepsy resective surgery.
Neuroscience Discovery

Interview with Valentina Mosienko, Fellow and Lecturer in Neuroscience, University of Bristol

Navigating the neuroscientific pathways for anxiety towards druggable targets.
AI, Machine Learning & Computational Drug Design

Revolutionary Organ Transplant Selection with Artificial Intelligence

A new Artificial Intelligence (AI) method enables scientists to cherry-pick organs for transplant.
Pharma Data

“When Data Lakes Become Data Swamps”: Avoiding the Pitfalls of Data Regret by Implementing a Connected Data Ecosystem

The implementation of a streamlined and connected data ecosystem is critical to the transformation of healthcare technology and circumventing data regret.
AI, Machine Learning & Computational Drug Design

AI Model Signifies 'Paradigm Shift' for Traumatic Brain Injury Risk

A new AI model shows promise for providing insights into long-term traumatic brain injury risk by accurately modelling the deformations that lead to brain damage.
Pharma Data

Regulation & Policy Interview with Damion Nero, Head of Data Science at Takeda

Damion Nero, Head of Data Science at Takeda, discusses the regulatory challenges and opportunities of Real-World Data.
AI, Machine Learning & Computational Drug Design

Computational Drug Design: Applications of AI and Machine Learning in Development

Recent advances in AI and machine learning have huge potential to improve the accuracy and speed of drug design. This discussion group report explores some of the current applications of different AI/ML approaches, including deep learning techniques.
Organ Modelling Discovery

Differentiation of embryonic and induced pluripotent stem cells

Pluripotent stem cells possess the capacity for indefinite self-renewal and the potential to differentiate into all adult cell types of the three primary germ layers.
Pharma Data

Big Data Workplan for 2022 to 2025

The EMA’s Big Data Steering Group has released its third workplan outlining the key actions to be delivered between 2022 and 2025.
Medicinal Chemistry & Drug Design

Automation Experts Discuss New Platform for Synthesis in Organic Chemistry

Our Discussion Group featured expert conversation on automation and synthesis from software to hardware, key challenges, and end goals.
Neuroscience Discovery

Gene Discovered to Drive Anxiety Could Prove an Effective Drug Target

The discovery could be a game-changer for the many people that suffer from anxiety related mental health disorders.
Pharma Data

Emerging Trends and Risks in Clinical Data Management

Looking to the next few years of data management in clinical trials, hybrid models which interpolate AI and ML approaches to assist trial coordinators will increasingly become the new normal.
Pharma Data

Leveraging Compound and Therapeutic Antibody Analytical Data

Analytical data is a key tool which can be leveraged to augment digital drug discovery if data workflows are properly implemented.
Neuroscience Discovery

Positive Results Achieved from Phase III Trial of MDMA-Assisted Therapy

Significant findings after the Schedule I controlled drug completes Phase III clinical trial for PTSD patients.
AI, Machine Learning & Computational Drug Design

FDA Release New Guidance for Modifications to AI/ML-Enabled Devices

The FDA has proposed new guidance which favours a science-based approach for AI/ML-Enabled devices to be modified and improved more quickly.
Neuroscience Discovery

Discovery of Fentanyl Vaccine Called “Game Changer” with Some Sceptical

The antibody-based vaccine has been successful in rat models but has had critics who would rather see a focus on harm reduction.
Target Based Discovery

Addressing Specific Targets and Dealing with Target Engagement

The panel discussion from Discovery US 2022, investigates into new technologies for target engagement and expanding the chemical space.
Pharma Data

FAIR Data Principles and Use Cases in Pharma

FAIR data principles aim to standardise and enhance the management of scientific data through unique identifiers and standardised protocols. The gradual implementation of these principles can improve research efficiency, facilitating better data utilisation by both humans and machines.
Pharma Data

In Conversation With Dr. Maya Natarajan, Neo4J

In the lead up to our 2022 Pharma Data & SmartLabs Congress taking place this September, we sat down with Maya Natarajan, Senior Director Knowledge Graphs at Neo4j. Being a key player within the field, Maya gave us insights into the pioneering work Neo4j is doing with knowledge graphs and the types of graph analytics that Neo4J provides.
Target Based Discovery

University of Minnesota Awarded $6.5m for Male Contraceptive Discovery Effort

The grant could open the door to new oral contraceptive medication for men and prevent unwanted pregnancy.
SmartLabs & Automation

Pharmaceutical Automation and the Factories of the Future: How Will the Industry Look in 2030?

With every new technological innovation, the pharmaceutical industry moves closer to the broader introduction of automation in production lines. But what bumps in the road to progress need to be smoothed out when it comes to the standardisation of industry approaches?

Discussion Group Report - Mobile Robotics

This November, our PharmaTec Series discussion group focused on mobile robotics. We explored their current uses, challenges and potential.
Target Based Discovery

Accelerating Target Discovery with Genomic and CRISPR Techniques

Benedict Cross, Chief Technology Officer at PhoreMost, leads our Discussion Group on Target-Based Drug Discovery using Genomic and CRISPR techniques.
Neuroscience Discovery

Alzheimer’s Drug Lecanemab Slows Cognitive Decline at Cost of Side-Effects, Shows Clinical Trial

Eisai and Biogen have shared the data from a phase III trial of their joint effort Alzheimer’s drug, lecanemab
SmartLabs & Automation

Applied Mobile Technologies and Interfacing with Robotics Software: Developing Improved Approaches for Cleanrooms

With the automation of cleanrooms set to continue for the foreseeable future, considering best practice approaches for integrating mobile robotics in a pharma-compliant manner will be key for addressing the needs of the industry. This Insight article explores some of the potential obstacles to the adoption of mobile robotics and considers how they could be addressed.
Target Based Discovery

Accelerating Target Deconvolution for Therapeutic Antibody Candidates

Target deconvolution is crucial to the phenotypic discovery process. Jenny Mattsson of BioInvent International explains how using CRISPR/Cas9 screening is a more efficient target deconvolution approach.
Neuroscience Discovery

Small Molecule Targets Toxic RNA Linked to ALS and Dementia

A UF Scripps Biomedical Research team have developed an RNA-targeting blood-brain penetrant small molecule to tackle genetic cases of ALS and dementia.
Pharma Data

Data Management Strategies of Tomorrow: Bridging the Gap Between Retired Data Systems and Digital Innovation

Key opinion leaders from AbbVie, Genentech, and the University of Southampton ask, “how and why must we change the way we work with data?”
AI, Machine Learning & Computational Drug Design

mRNA Vaccine Development to Get a Quantum Boost

Moderna will partner with IBM to deploy next-generation technologies such as quantum computing to optimise mRNA medicines.

Top 3 Must-See Presentations: Discovery US 2022

Find out what you can't miss at Discovery US: In Person 2022...
Target Based Discovery

Expanding the Druggable Toolbox: Improving Access to Undruggable Targets

In this Commentary article, we explore the innovative approaches towards drug target identification being championed by Cambridge-based biotechnology company PhoreMost. Identifying new druggable targets may help to address a range of unmet diseases.
SmartLabs & Automation

Lab Digitalisation: Automation, Transformation, and the Smart Labs of the Future

The quality control labs of the future have been envisioned as fully-integrated environments, automated through the capture of data in real-time. By developing labs with digital output in mind, researchers at all scales can plan for the future and refine their approach to lab digitalisation.
Medicinal Chemistry & Drug Design

Mcule: Compound Sourcing Expert

Mcule is a leading chemical marketplace for drug discovery where you can order small-molecule samples from a high-quality database. We acquire the compounds from the manufacturers and deliver them in a consolidated package, in the format specified by you
Target Based Discovery

Protein Linked to Increased Lung Cancer Survival

Evidence shows that targeting TLR2 with an agonist reduces lung tumour growth in mouse models.
AI, Machine Learning & Computational Drug Design

Cortical Labs Secures $10M to Revolutionise AI with Biological Neurons

AI startup raises funds to advance commercialisation of groundbreaking biological intelligence operating system.
AI, Machine Learning & Computational Drug Design

$1.2m Quantum Computing Drug Discovery Grant Secured by Penn State Researchers

The grant will help researchers tackle diseases like cancer using quantum computing drug discovery
AI, Machine Learning & Computational Drug Design

AI/ML Approaches in Drug Development: Applied Machine Learning in Clinical Trials

The focus in the pharmaceutical industry has been, and will remain, on generating cheaper and more detailed data through the applications of AI/ML techniques which can be interpreted more easily.
AI, Machine Learning & Computational Drug Design

Alphabet’s Calico and Terray Tx Announce Partnership to Tackle Age Related Disease

A partnership between computational drug discovery company Terray and Alphabet's Calico will focus on new therapies to fight age related disease.
AI, Machine Learning & Computational Drug Design

Orion Granted €10m to Build AI-Based ‘Research Ecosystem’ in Finland

A Finnish government agency has awarded the pharma company €?10 million to invest in their research ecosystem utilising AI and data science.
Pharma Data

Biobank Frameworks: Utilising Federated Machine Learning to Augment Data Solutions

Data quality, bias, and standardisation are all important to account for when planning for federated and non-federated learning factoring in recurrent neural networks. Biobank frameworks offer the opportunity to augment healthcare data through the appropriate implementation of machine learning.
Pharma Data

Real-World Data in Real-World Applications: Informing Future Approaches to Healthcare Provision and Drug Development

If some gaps in patient data are inevitable, then the use of RWE and RWD presents an opportunity to fill them in synthetically. Coordinated data sharing is an important aspect of consistent RWD usage.
Medicinal Chemistry & Drug Design

Bicycle Therapeutics Publishes Preclinical Data from Nectin-4 Targeting Cancer Drug

A paper published in the Journal of Medicinal Chemistry highlights Cambridge, UK based biotech, Bicycle Therapeutics’ findings regarding bicycle toxin conjugate, BT8009.
Medicinal Chemistry & Drug Design

Shooting for the StaRs: Stabilising GPCRs and Mapping Their Structure

Japanese-UK biotech Sosei Heptares are tackling the problem of stabilising GPCR structures with a view toward novel drug discovery endpoints.
AI, Machine Learning & Computational Drug Design

AlphaFold: Momentary or Revolutionary?

AlphaFold, using AI/ML to predict the structures of proteins, has jumped off the pages of sci-fi and landed into the labs of researchers… but is it any good?
AI, Machine Learning & Computational Drug Design

Using AI to Drive Drug Design: Maximising the Impact of Big Data with Computer Aided Drug Discovery

Making the most of big data and AI to achieve compound suggestions for drug discovery chemistry.
AI, Machine Learning & Computational Drug Design

The Highs and Lows of Applying AI to Drug Design

September's discussion group takes us through AI applied to drug design. Where it has been useful, and where it has been not so useful.
Neuroscience Discovery

New Study Includes Pain Management Device for Chronic Symptoms of NFL Players

The study will focus on non-invasive vagus nerve stimulation (nVNS) and cannabidiol (CBD) as potential treatments.
AI, Machine Learning & Computational Drug Design

Predicting the Intricacies of Compound-Protein Interactions: Uses of Molecular Dynamics in Drug Discovery

As computer processing capabilities have risen to new heights, scientists have been learning to take advantage for molecular dynamic simulation.
Pharma Data

Is The Industry Ready for Digital Therapeutics?

Our April 2022 discussion group focused on digital therapeutics. Digital therapeutics are software-based products for the prevention, management and treatment of health conditions.
Neuroscience Discovery

Delix Therapeutics Announces 2 Partners in Neuroscience Drug Discovery Effort

The neuroscience discovery company alter the molecular chemistry of existing psychedelic drugs to maintain their psychoplastogenic properties but remove their hallucinogenic effects.
Pharma Data

FAIR Data Management: What are the Best Approaches to Ensuring Information Findability?

From an industry perspective, refining the sharing and storing of healthcare data is essential for improving the efficiency of new research and development. Appropriate implementation of FAIR data strategies is a key step in achieving this.
Target Based Discovery

Bundle Cultrex™ BME with Select Proteins & Save

Use Promo Code: PROTBME15 to receive 15% off your order
Pharma Data

EMA Vouch to Increase Access and Improve Quality of Data-Driven Medicine Regulation

How are the European Medicine Agency (EMA) proposing to deliver new and advanced data regulations for the European Union in 2023?
Organ Modelling Discovery

Generate Physiologically Relevant Airway Cultures

Culture primary human airway epithelial cells as organoids or at the air-liquid interface with the PneumaCult™ media system.
Targeted Protein Degradation

Drugging the Undruggable: Targeted Protein Degradation

Using the body's mechanisms to degrade proteins not amenable to traditional small molecule approaches, offering the potential to "drug the undruggable" and permanently destroy target proteins.
Organ Modelling Discovery

Guide to Sodium Alginate Bioprinting

Four protocols for bioprinting alginate using the Allevi by 3D Systems Platform.
AI, Machine Learning & Computational Drug Design

Oracle’s Cerner Enviza and FDA Collaborate on NLP-AI Drug Safety Tools

The oracle company will partner with the FDA and John Snow Labs to develop natural language processing backed up by AI to study drug safety.
SmartLabs & Automation

How Will Laboratory Automation be Optimised by Emerging Technologies?

Key opinion leaders discuss how to approach challenges and opportunities which arise when looking to optimise lab processes.
Target Based Discovery

Using Innovative Approaches to Expand the Druggable Genome

Investigating the mysteries of proteins considered undruggable to expand the druggable genome.
SmartLabs & Automation

Telerobotics in Healthcare: From Space Robotics to the Mobile Lab Robotics of the Future

Robot healthcare assistants designed to operate in outer space may sound like science fiction, but the reality is incredibly feasible. In this Commentary article, Daniel Leidner explains how telerobotics-enabled hardware is currently being trialled in different laboratory environments as a means of providing remote healthcare.
Organ Modelling Discovery

Achieving the Gold Standards of Organ Modelling: Complexity, Robustness, and Reproducibility

We hear the opinions of organ modelling experts on navigating three concepts which are critical to the field: complexity, robustness, and reproducibility.
SmartLabs & Automation

Standardisation in Lab Automation: Working Towards the Integrated Laboratories of the Future

In this Insight article, we explore SiLA: the consortium for Standardisation in Lab Automation, and look at some of the opportunities and challenges presented in the vision for a fully integrated laboratory environment.
Organ Modelling Discovery

Using Organs-on-Chips to Catch Kidney Toxicity in Drug Discovery

AstraZeneca have been using the technology to evaluate drug-induced nephrotoxic effects
Target Based Discovery

In Vitro Potency Assays for Immune Cell-Mediated Killing with the Maestro Z

Cell-based therapies are a rapidly growing area of research with great promise.
Neuroscience Discovery

Up-and-Coming Investigations in Drug Discovery and Development: Neuroscience and AI

Drug discovery experts join Oxford Global’s Neuroscience Drug Discovery and Development discussion group.
Organ Modelling Discovery

FDA Can Deem Animal Testing of Drugs No Longer Necessary

For the first time since 1938, the FDA will no longer require animal modelling for drugs to enter clinical trials after a new Act is passed.
Organ Modelling Discovery

Lab on a Chip

A deep conical agarose microwell array for adhesion independent three-dimensional cell culture and dynamic volume measurement
Pharma Data

FAIR Principles for Use: The Harmonisation and Standardisation of Data through FAIRification

The biggest focus for those in the pharmaceuticals industry moving forward should be to emphasise the importance of proactive adaptability in implementing FAIR data frameworks, and to underscore how making the investment now will pay dividends in years to come.
Target Based Discovery

Target Identification, Phenotypic and Cell-based Screening

Oxford Global’s discussion group brings together specialists in target identification, phenotypic, and cell-based screening
Pharma Data

Why Dream of Lab Instrument Connectivity When it’s Right at Your Fingertips

Digitalisation is the reality for each of us in our private life. In laboratories, it’s still a dream. But why are we dreaming of digitalisation and of connectivity between your instruments and your leading systems when these things are actually at our fingertips? The reason might be obvious: when the right tools to connect all software silos are missing, we can’t be digitalised in reality.
Neuroscience Discovery

Light Powered Neural Propagation Assay

Synaptic connections are a fundamental building block of neuronal function, enabling the propagation of activity from one neuronal circuit to another
Pharma Data

Synthetic Data: Democratising Data Access to Improve Patient Outcomes

In this Commentary article, we explore some of the applications of synthetic data generation in the context of healthcare and treatment. Synthetic data can overcome problems surrounding privacy and enable the sharing of important medical information without compromising the privacy of patients.
Pharma Data

Digital Health & Technology: Barriers to Adoption

Digital health is often seen as the 'next big thing' but there are challenges ahead. This month, our discussion group focused on fragmentation, data flow, protection and regulatory approval.
Pharma Data

Knowledge Graphs Fuel Drug Discovery: How AstraZeneca Uses Neo4j

On-Demand Webinar featuring Dr Christos Kannas, Associate Principal Scientist at R&D AstraZeneca & Dr Maya Natarajn, Neo4j Senior Director of Knowledge Graphs
Neuroscience Discovery

Challenges in Translational Approaches and Biomarkers in Neurodegeneration

Identifying disease targets, understanding complex biology, and developing effective technologies for target engagement.
Neuroscience Discovery

Axion: Neural Activity Assay

In vitro neural models are a proven powerful strategy for the study of neural function and complex disorders of the human nervous system.
Organ Modelling Discovery

Axion: Neural Organoids

Three-dimensional induced pluripotent stem cell (iPSC)-derived in vitro cell models, commonly referred to as spheroids, organoids, or “mini-brains”, more accurately recapitulate the multicellular organization and structure of in vivo tissues when compared to traditional monolayer cell cultures
Target Based Discovery

Validation of an Impedance-based Cytotoxicity Assay for High Throughput Screening

High throughput screening requires careful validation of assay performance
Neuroscience Discovery

Validation of a Structure-Function Assay for Neurotoxicity in Primary and hiPSC-Derived Neurons

Comprehensive, high-throughput, in vitro screening of the neurological effects of chemical compounds and drugs is vital for environmental and drug safety
Medicinal Chemistry & Drug Design

Interview with Andrew Robertson, Vice President, Head of Global Regulatory Policy and Innovation at Takeda

Andrew Robertson, Vice President, Head of Global Regulatory Policy and Innovation at Takeda, talks about working with regulators and the current regulatory paradigm.

Machine Learning for DNA Encoded Libraries

Our February Discovery Series discussion group centred on DNA Encoded Libraries (DEL). Using DEL enables the simultaneous screening of thousands of potential drugs against a target.
Target Based Discovery

Axion: Cardiac Activity Assay

In vitro models are a proven powerful strategy for studying disorders of the human heart.
Organ Modelling Discovery

Cellesce: Colorectal Cancer Organoid Lines

Cellesce’s technology enables the growth and expansion of Patient-Derived Organoids (PDOs)
AI, Machine Learning & Computational Drug Design

Accuracy and Precision of Arrow Directionality in the Causaly Knowledge Graph

Causaly have developed an advanced machine-reading platform for semantic relationship extraction and comprehension
Target Based Discovery

Axion: Teer With Maestro Z

High-throughput assessment of barrier function.
Target Based Discovery

Axion: Virology Studies

Simpler, faster assays for infectious diseases
Target Based Discovery

Axion MEA Plates

When your research requires insightful, high-quality data from microelectrode arrays (MEAs), Axion BioSystems’ MEA plates provide the right balance of throughput, electrode count, and ease of use for your experiments.
AI, Machine Learning & Computational Drug Design

AI and ML for Target Validation & Lead Optimization

Jackie Hunter, Board Director at BenevolentAI, shares details on her company's unique approach to target Identification and lead optimisation.
Target Based Discovery

Target Identification: Navigating the Intricate Environment of Human Biology

Balancing novelty and validity, the role of probability in target identification, and discussing the role of the genetic links to disease indications.
Organ Modelling Discovery

Multivascular Networks and Functional IntravascularTopologies within Biocompatible Hydrogels

Modeling multidimensional vascular networks is a notoriously difficult task, especially when considering the complex functions they perform within organ systems.
Targeted Protein Degradation

The Bioavailability of Oral PROTAC Molecules for ER+ Breast Cancer

Thomas Hayhow, Associate Principal Scientist at AstraZeneca presents his company’s efforts in delivering PROTACs orally.
AI, Machine Learning & Computational Drug Design

Expanding the Use of AI in Healthcare Services

Recent developments in healthcare include the integration of AI chatbots in order to support primary care providers, offering improved patient care and efficiency in providing healthcare solutions.
SmartLabs & Automation

Digitisation and Beyond: Understanding the Lab of the Future

Key opinion leaders from GSK and the University of Southampton discuss the steps needed to reach the lab of the future.
Targeted Protein Degradation

PROTACs: “Exciting Opportunities to Explore New Biology”

A Senior Director at AstraZeneca takes us through how the company synthesises and validates novel PROTACs.
SmartLabs & Automation

Digital Transformation in the Lab: Paperless and AI Technologies

The pharma industry is embracing digitalisation of the lab. Recent advancements in paperless technology and AI offer a peek into what the smart labs of the future will look like.
SmartLabs & Automation

Mobile Robotics in Cleanrooms: Challenges and Innovation Needs

By taking a more holistic approach to the design of mobile robots, cleanroom automation and aseptic production in the manufacture of pharmaceutical therapeutics could be made into a reality.
Pharma Data

Digital Data Governance and Healthcare Provision: Looking to the Future

Data digitisation has led to a market shift in operability, as well as a strong emphasis on trust and a need for broad standardisation. Zisis Kozlakidis, Head of Laboratory Services and Biobanking at the International Agency for Research on Cancer, sat down with us to discuss current and future trends in digital data governance for healthcare, as well as the need for a coordinated data strategy going forward.
Medicinal Chemistry & Drug Design

PeproTech: Price List

Helping unlock the promise of Cellular Therapies and Regenerative Medicines
Organ Modelling Discovery

3D CoSeedis Modular Multi-Purpose 3D Cell Co-Culture System

3D CoSeedisTM from abc biopply ag is a novel scaffold-free 3D cell co-culture system.
AI, Machine Learning & Computational Drug Design

Lantern Pharma Offers AI Platform for ADC Discovery with Bielefeld University

Lantern will use their artificial intelligence (AI) platform, RADR, to accelerate the development of ADC candidates from discovery to clinical trials within a timeframe of approximately two years.
Organ Modelling Discovery

Organ-on-a-Chip Market Will Grow at 21.3% CAGR, Predicts Roots Analysis in 2022-2035 Forecast

The organ modelling technology is making a splash in Roots Analysis market predictions, with recent waves of research grants and patents.
Organ Modelling Discovery

Airway Research: PneumaCult™ Culture Media for Human Airway Epithelial Cells

In Vitro Human Airway Model Systems
Organ Modelling Discovery

Biotechne: Brain Organoid Starter Pack

Organoids and 3D cell cultures are emerging as pivotal systems for understanding human organ development, modeling disease, screening for drug efficacy or toxicity, and personalized medicine.
AI, Machine Learning & Computational Drug Design

AlphaFold and Drug Design: Has AI Solved Biology’s ‘Grand Challenge?’

Govinda Bhisetti, Principal Investigator and Head of Computational Chemistry at Biogen, leads a discussion group on what the revolutionary machine learning technology means for drug design.
SmartLabs & Automation

CellQualia: The Robot Changing the Face of Stem Cell Therapies

Could integrating robots such as the CellQualia System into stem cell development pipelines be key to advancing these therapies?
Organ Modelling Discovery

Cellesce: Organoids

Cellesce specialises in the development, scale up and manufacture of patient-derived organoids(PDOs), which will potentially revolutionise life science drug discovery and development for the benefit of human health.
Pharma Data

Clinical Trials Information Systems Made Mandatory in EU

As of 2023, all new clinical trial applications in the EU must be submitted via the Clinical Trials Information System.
Pharma Data

Data Environments in Healthcare: Real-World Datasets and Data Integration

RWD now represents a major source of information for understanding current treatment results and improving future analysis. Its proper implementation in healthcare analysis has the potential to improve patient outcomes.
Neuroscience Discovery

Improved Insight on the Effects of Ritalin on Patients with ADHD

A better understanding of ADHD drug methylphenidate's mechanism of action has been revealed by a study published in the journal Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.
Organ Modelling Discovery

Biotechne: Lung Organoid Starter Pack

Organoids and 3D cell cultures are emerging as pivotal systems for understanding human organ development, modeling disease, screening for drug efficacy or toxicity, and personalized medicine
Organ Modelling Discovery

PeproTech: Organoids

Organoid models include three-dimensional (3D) cell culture systems that closely resemble the in vivo organ or tissue from which they are derived.
Organ Modelling Discovery

PeproTech: The Building Blocks for Organoid Research

Organoid models include three-dimensional (3D) cell culture systems that closely resemble in vivo organ or tissue.
Organ Modelling Discovery

Pavone High Throughput Mechanical Screening Platform

3D tissue models are revolutionizing diagnostics, drug development, and regenerative medicine fields.
Targeted Protein Degradation

Getting PROTACs into the Clinic: The Challenges

Oxford Global’s protein degradation panel discussion brought together leading experts in the field to talk about bringing PROTACs to clinical trial endpoints.
Organ Modelling Discovery

Biotechne: Product Portfolio Overview

Partnering with you to drive discovery
Target Based Discovery

Examining Target Identification and Validation in Drug Discovery

Target identification and validation forms the backbone of efforts to discover new drugs. Our expert panel discussed challenges and solutions in this field to drive safety and efficacy.
Targeted Protein Degradation

Next-Generation Targeted Protein Degradation: Beyond the Usual E3 Ligases

During Discovery Week 2021, Ian Churcher (Chief Scientific Officer at Amphista Therapeutics Limited) gave a fascinating presentation on recent advancements and novel approaches in protein degradation. This article provides a condensed overview of the key topics covered.
Organ Modelling Discovery

Validating Cellesce’s Bioreactor Technology for the Expansion of Patient-derived Breast Cancer Organoids

Cellesce develops bioprocessing systems for the expansion of organoids in significant volumes in a way that minimises handling time and maximises reproducibility, with the long term goal of positioning organoid technology as a cost effective model for early-stage drug discovery.
Pharma Data

Merck KGaA on Training a Data-Capable Workforce

Dr Boris Adryan, Digital & Data Capability Building Lead at Merck Healthcare KGaA, teaches the company’s workforce the importance of data.
Pharma Data

Accelerating Global Access to New Medicines Through FAIR

This Commentary piece looks at the means by which the global approval process for new medicines can be sped up through the controlled use of FAIR data. Key areas of focus include the sharing of healthcare data to bring the patient voice within the clinical setting.
Pharma Data

Mobile Health and Covid-19: How Did Big Data Help To Avoid The Worst Of The Pandemic?

This Commentary article revisits the development and implementation of mobile health data, exploring how initiatives such as the NHS track and trace system helped to mitigate the worst of the impact of the Covid-19 pandemic. Here, we consider the applications of mHealth data for present and future pandemic situations.
SmartLabs & Automation

Smart Labs: Productivity, Legacy Systems and Digital Fatigue

Key opinion leaders discuss the latest trends and challenges in laboratory automation and digitalization. Key insights include an explanation of Roche's 'Levers of Production' method, the challenges of legacy systems and the possibility of digitalization overload.
AI, Machine Learning & Computational Drug Design

How AI Integration is Optimising Drug Development Pipelines

How are AI integration and the growing capabilities of machine learning impacting drug discovery and clinical trials?
AI, Machine Learning & Computational Drug Design

Artificial Intelligence for Drug Design and Discovery

Artificial intelligence and machine learning could be an invention comparable to electricity, so what does the future hold for its use in drug discovery?
AI, Machine Learning & Computational Drug Design

Explainable AI: Addressing Challenges for Machine Learning Implementation

There are many reasons why it is crucial to understand how an AI-enabled system has led to a specific output. Explainability can help developers ensure that the system is working as expected, meet regulatory requirements, or reveal the importance and effects of data previously deemed unimportant by humans.
AI, Machine Learning & Computational Drug Design

Machine Learning in Clinical Data Analysis: From Alan Turing to Modern-Day Data Sequencing

Some of the biggest current focuses of machine learning and AI research and development include testing clinical scenarios to identify the patients who will benefit most from treatment. One of the main goals for researchers is increasing the transparency and understanding underpinning data sharing and AI technology.
SmartLabs & Automation

Smart Labs & Automation: Digital Literacy User Friendliness

The pharmaceutical industry is working on improving the usability of automation platforms but challenges remain.
Organ Modelling Discovery

Organoids: Robust Media to Culture Intestinal, Hepatic, Pancreatic, Kidney, Airway, and Cerebral Organoids

One of the most impactful advances in stem cell research of the past decade has been the development of organoid culture techniques.
Targeted Protein Degradation

Protein Degradation – Discussion Group Report

Progress in protein degradation has accelerated in the past few years, and 2021 saw several breakthroughs. Efforts to target STAT3, however, have proven to be especially challenging.
Target Based Discovery

Drugging KRAS: a Once ‘Undruggable’ Target

RAS mutations are the most common subfamily of oncogenes, so finding inhibitors could be extremely valuable to oncology research. However, they also make for particularly difficult targets. Andreas Mantoulidis explains how BI have been attempting to ‘drug the undruggable.’
AI, Machine Learning & Computational Drug Design

Pharma Manufacturing: Digitalization and Industry 4.0

Digital tools to boost productivity and optimise pharma manufacturing are becoming increasingly prevalent through smart sensors, AI, ML, virtual reality, and cloud computing. Digital transformation is here for Pharma, and it is changing companies' priorities towards digital solutions.  
Neuroscience Discovery

How MSD’s Discovery Centre is Fighting Age-Related Neurodegeneration

How does the MSD group find its targets for neuroscience drugs?
AI, Machine Learning & Computational Drug Design

Unlocking Innovation In Drug Discovery With IPU Powered AI

Presented by Alex Titterton, Field Applications Engineer, Graphcore
AI, Machine Learning & Computational Drug Design

Merck KGaA: Accelerating Drug Discovery with Automation and Artificial Intelligence

There are innumerable possible compounds in Merck KGaA’s virtual library, so finding drug candidates is only possible with the help of computational methods.

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