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

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.
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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.
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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.
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AI, Machine Learning & Computational Drug Design

NeuralPLexer2 - Has AlphaFold2 Met Its Match?

Iambic Therapeutics’ protein structure predictive model, NeuralPLexer2, surpasses AlphaFold2’s abilities.
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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.
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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
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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.
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AI, Machine Learning & Computational Drug Design

Revolutionizing Drug Discovery: The Power of AI in Drug Screening and Clinical Trials

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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?
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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
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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.
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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.
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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.
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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?
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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?
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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?
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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?
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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.
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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.
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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.  
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AI, Machine Learning & Computational Drug Design

Unlocking Innovation In Drug Discovery With IPU Powered AI

Presented by Alex Titterton, Field Applications Engineer, Graphcore
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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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