
Standardizing Seventy Years of Messy Medical Data
The federal government is trying to force seven decades of incompatible medical research into a single format that artificial intelligence can actually understand.
Discover the newest research about AI innovations in Research.

The federal government is trying to force seven decades of incompatible medical research into a single format that artificial intelligence can actually understand.

A new head-to-head trial reveals that while human doctors falter when listing multiple possible diagnoses, artificial intelligence maintains its accuracy.

Big Pharma is learning that keeping proprietary data locked in a vault is no longer the fastest way to win the drug discovery race.

A signed business associate agreement with a tech giant does not mean your patient data is safe from AI training models.

A new clinical model outperforms specialists in diagnosing skin cancer, but its hidden failure modes reveal why deploying diagnostic AI remains a high-stakes gamble.

A new machine learning model tackles the biological noise threatening to derail non-invasive cancer testing.

A new study shows that local language models can analyze complex genomic data just as accurately as panels of medical experts.

A massive new capital injection proves that venture capital is bypassing traditional doctors to sell health tracking directly to anxious consumers.

A simple anatomical marker combined with machine learning could change how clinicians predict long-term recovery after a severe brain bleed.

Hospitals are losing millions because surgeons are terrible at paperwork, but the solution is not another dictation tool—it is the video feed itself.