Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...