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 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.

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.

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.

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

As the capacities of multi-omics integration continue to grow, key opinion leaders discuss the main setbacks and outlooks for the field.

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

The implementation of a streamlined and connected data ecosystem is critical to the transformation of healthcare technology and circumventing data regret.

Damion Nero, Head of Data Science at Takeda, discusses the regulatory challenges and opportunities of Real-World Data.

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