
Tempus AI Buys Personalis for $1.5 Billion
A massive consolidation in cancer diagnostics reveals the steep financial price of dominating the liquid biopsy market.
Discover the newest research about AI innovations in 👤 Personalized Medicine.

A massive consolidation in cancer diagnostics reveals the steep financial price of dominating the liquid biopsy market.

A new study shows AI-generated synthetic patients can replicate cancer trial results, potentially shrinking the need for human control groups.

A new deep learning tool bypasses the need for massive non-European genetic trials by adapting existing risk models to diverse populations.

Averaging tumor data has long blinded oncologists to the specific, high-risk cells that drive patient mortality.

A new machine learning model uses simple blood and nutrition markers to predict which uterine cancer patients can safely skip aggressive surgery to preserve their fertility.

A new machine learning model predicts 30-day mortality for brain bleed patients using routine clinical data instead of expensive brain scans, challenging the assumption that advanced imaging is required for accurate prognosis.

A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.

A new AI-driven blood test could soon keep thousands of women out of the imaging room by ruling out womb cancer with near-perfect accuracy.

Static bone density scans miss how a patient’s body changes over time, but a new deep learning model proves that tracking those physical trajectories can prevent missed fracture risks.

Using virtual clones to simulate disease progression could finally solve the recruitment bottleneck that stalls rare disease drug development.