data

America's answer to UK Biobank, built for diversity.

Arc's growing library of cell data, the fuel for virtual cell models.

Dimensions connects papers to the grants and trials behind them.

The EMA's CHMP highlights show Europe's approval pipeline one month ahead of European Commission decisions.

Evaluate Vantage forecasts which drugs and modalities will matter commercially in the next decade.

Real-world evidence at scale: what happened to patients with a given genomic profile on a given treatment.

NCI CDAS holds the lung screening trial images that trained Sybil and most lung-nodule AI.

The Imaging Data Commons is TCIA in the cloud, ready for large-scale model training.

NICE technology appraisals say whether the NHS will pay, and why. They are the most transparent HTA record in the world.

Pathology AI benchmarks are the open challenge datasets on which every pathology model is scored: CAMELYON16 and 17 for lymph node metastasis detection, PANDA for prostate grading with 11,000 biopsies, and TCGA slide-level tasks used to compare foundation models. Licences are mostly CC BY-NC-SA or set per challenge.

Semantic Scholar offers free literature search with machine-generated summaries and citation context.

Tahoe-100M is the biggest single-cell dataset ever released, built to teach AI how cancer cells respond to drugs.

The public archive of cancer scans that most radiology AI is trained and tested on.

UK Biobank is the richest population cohort for linking genes, blood and imaging to who later develops cancer.