Automation is helping drug discovery teams screen faster, cut costs and run complex assays at scale – but its real value lies in what happens next.

AI in drug discovery is no longer theoretical. It’s already speeding up predictions, improving outcomes and cutting waste. Learn how to apply it in your own discovery pipeline.

Scientists at the University of Cambridge have developed a light-powered method to modify complex drug molecules without toxic chemicals, enabling faster, cleaner and more efficient drug development.

A topical cream that activates the skin’s immune defences has been shown to suppress tumour growth in early models of cutaneous squamous cell carcinoma.

Scientists have discovered that adding a simple cocktail of three common amino acids to lipid nanoparticle injections can dramatically improve the delivery of mRNA and CRISPR therapies.

Japanese researchers have discovered how yaku’amide B, a rare compound from deep-sea sponges, targets aggressive cancer cells.

Scientists at the University of Toronto have created long noncoding RNA outside living cells for the first time, a breakthrough that has already produced experimental anti-inflammatory molecules.

Scientists have discovered that specialised immune cells in the eye help keep its drainage system clear and regulate pressure, which could inform new treatments for glaucoma.

Early drug discovery has no shortage of genomic data, but confidence remains scarce. This report examines how CRISPR, functional genomics and human-relevant models are being applied to determine which signals matter, how they influence disease biology and which targets and strategies are worth pursuing.

Automation now plays a central role in discovery. From self-driving laboratories to real-time bioprocessing, this report explores how data-driven systems improve reproducibility, speed decisions and make scale achievable across research and development.

Biomarkers are redefining how precision therapies are discovered, validated and delivered. This exclusive expert-led report reveals how leading teams are using biomarker science to drive faster insights, cleaner data and more targeted treatments – from discovery to diagnostics.

Explore how artificial intelligence (AI), biomarkers, and innovative trial technologies are creating a more efficient, data-driven future for drug discovery. From better patient selection to smarter trial design, see how clinical research is evolving to deliver new therapies faster.