MIT researchers created a model that suggests promising ways to synthesize new materials for faster experimentation.

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

A novel multi-task XGBoost model shows robust overall performance in predicting antimicrobial resistance in common gram-negative pathogens.

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

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

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning ...

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Fungi are the hidden architects of our ecosystems, acting as everything from helpful partners for plants to aggressive ...