
Big Pharma Pools Data for Antibody AI
AI drug discovery models are starving for physical data, forcing fierce competitors to pool their proprietary secrets.
Discover the newest research about AI innovations in Research.

AI drug discovery models are starving for physical data, forcing fierce competitors to pool their proprietary secrets.

A new foundation model uses baseline CT scans to flag which lung cancer patients are likely to develop life-threatening lung inflammation from immunotherapy.

Healthcare is funding clinical artificial intelligence through a broken payment system that rewards volume over value, threatening to spark an administrative arms race.

A new model bypasses rigid labels to turn raw cardiac waveforms directly into human-readable clinical narratives.

The flood of FDA-approved radiology AI is hitting a wall of clinical rejection because developers forgot a basic rule of medicine: do not disrupt the workflow.

A new AI model extracts metabolic risk data directly from routine heart ultrasounds, bypassing the need for expensive CT scans.

As national health data exchange scales at a dizzying pace, the federal government is shifting its focus from building connections to policing them.

By analyzing the grammar of sleep stages rather than raw brainwaves, a new AI bypasses the need for expensive clinical hardware.

Hospitals face a multi-million dollar dilemma: upgrade aging imaging hardware or accept degraded scan quality.

A new machine learning model proves we do not need expensive imaging or complex protein tracking to find patients whose knee pain will soon spike.