
Cityblock Acquires Homeward to Scale Value-Based Care
A major consolidation in value-based care signals that niche health startups can no longer survive on venture capital alone in a tightening regulatory market.
Discover the newest research about AI innovations in Research.

A major consolidation in value-based care signals that niche health startups can no longer survive on venture capital alone in a tightening regulatory market.

A new microfluidic AI platform cuts bacterial resistance testing down to two hours, challenging the slow timelines of traditional lab cultures.

Moving dementia testing from annual clinic visits to daily smartphone check-ins could solve a massive bottleneck in clinical trials and early diagnosis.

A new machine-learning model spots lung cancer from a simple urine sample, challenging the current reliance on costly scans and invasive blood draws.

Algorithms are making medical decisions, and doctors are fighting back against the silent machine veto.

Unsupervised machine learning reveals that tumor shape, not just invasion depth, dictates whether early colorectal cancer will return after endoscopic removal.

When a child faces a mental health crisis, the current system offers only two real options: months on a waiting list for basic therapy, or a chaotic, expensive trip to the emergency room.

A new machine learning model can pinpoint the origin of mysterious cancers from simple blood fragments, shifting the focus of liquid biopsies from detection to direction.

When the dominant electronic health record vendor decides to build its own clinical AI, the entire digital health startup ecosystem faces an existential threat.

An AI model can spot heart failure risk day-by-day using standard electrocardiograms, but its performance drops when crossing oceans.