Discovery - Resources

09/04/24 - Two case studies show how digital therapeutics can potentially treat neurological and neuropsychiatric conditions, areas where conventional therapeutics have encountered obstacles.

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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.

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.

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.

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?

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.

Pharma Data

Elemental Machines Usage Solutions: Meaningful ROI Outcomes

Pharma Data

IQVIA Natural Language Processing (NLP) API Suite

Pharma Data

Genedata Managed Cloud

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.

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.

Pharma Data

From Big Data to Smart Knowledge: Semantics Search 2.0

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.

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.

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.

Pharma Data

Data-Driven Clinical Trial Feasibility and Study Design

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.

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.

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?”

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.

Pharma Data

IQVIA Natural Language Processing (NLP) Insights Hub

Pharma Data

IQVIA NLP Platform

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.

Pharma Data

IQVIA Natural Language Processing (NLP) Data Factory

Pharma Data

Advancing Drug Safety With Natural Language Processing (NLP)

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.

Pharma Data

The Importance of Biomarker Selection in Healthcare

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?

Pharma Data

Genedata Screener Assay Catalogue

Pharma Data

Genedata Screener for Biopharma

Pharma Data

Semantic Modelling and Knowledge Graphs

Pharma Data

FAIR Data

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.

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.

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

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.

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.

Pharma Data

Graph Data Science Streamlines Complex Medical Supply Chain Analysis

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.

Pharma Data

Novartis Captures the Latest Biological Knowledge for Drug Discovery

Pharma Data

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