
AI diagnoses kidney disease with fewer labeled scans
A new active learning model proves that medical AI does not need massive, expensive datasets to outperform human-labeled benchmarks.
Discover the newest research about AI innovations in 🤖 Machine Learning.

A new active learning model proves that medical AI does not need massive, expensive datasets to outperform human-labeled benchmarks.

The federal push to let autonomous AI diagnose patients and prescribe drugs is setting up a dangerous collision between political speed and medical safety.

A new machine learning model uses dual ultrasound measurements to identify severe liver damage, offering a way to bypass painful and risky biopsies.

Standard genetic tests miss the complex networks of DNA variants that cause multiple diseases in the same family, but a new topological AI approach could change how we find them.

A new needle-free vaccine targeting shared viral structures could finally end our endless cycle of booster reformulations.

A new multi-task AI model predicts two critical gastric cancer immunotherapy biomarkers from routine biopsy slides, but its real-world drop in accuracy highlights a persistent industry bottleneck.

A new deep learning tool outperforms traditional genomic tests in predicting breast cancer recurrence, using nothing more than standard tissue slides and basic clinical data.

The federal push to let artificial intelligence diagnose patients and prescribe drugs without human oversight is moving from policy debate to active clinical deployment.

A new AI model uses standard heart scans to calculate your biological age, spotting hidden heart risks even when using cheap wearable devices.

A new study reveals that advanced language models fail at predicting dental treatments unless they are paired with basic, old-school statistics.