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Early clinical trial data supports amivantamab against a rare lung cancer mutation

Lung cancer is one of the leading causes of cancer death among men and women in the US. One option […]

Data-driven eligibility criteria may make clinical trials more inclusive

Researchers have shown that relaxing the eligibility criteria of clinical trials in a data-driven manner can significantly increase the number […]

Data-driven approach to identify PROTAC targets

Proteolysis-targeting chimeras (PROTACs) are an emerging class of drugs that may offer new opportunities to overcome limitations associated with small-molecule […]

Interoperability: A three-pillar strategy to integrate health data

The Swiss Personalised Health Network developed a flexible, pragmatic framework that promotes interoperability between diverse biomedical datasets. The proposed three-pillar […]

The role of artificial intelligence (AI) and big data in drug discovery

For the first time, a review explored in depth how big data and artificial intelligence (AI) techniques are currently being […]

New database of transcriptional regulators for cancer drug development

Researchers from the University of Virginia School of Medicine have developed a new database of transcriptional regulators, which will help […]

Meta-analysis of transcriptomic data from Huntington’s disease patients

Description of transcriptomic alterations in Huntington’s disease is essential for the identification of targets for biomedical studies and drug development. […]

New Alzheimer’s Drug Data Issues

Earlier this week the U.S. Food and Drug Administration approved the first new treatment for Alzheimer’s disease in almost 20 […]

DrugSpaceX: A Database of Drug-Like Chemicals

One of the most prominent topics in drug discovery is the efficient exploration of the vast number of drug-like chemicals […]

Identifying Target Populations Using Real-World Data to Guide Antidiabetic Drug Trials

Regulatory agencies have recommended designing more representative trials of anti-diabetic drugs, but this first requires defining clinically relevant target populations […]