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

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.

Introduction Accurate preoperative assessment of lymph node metastasis (LNM) is a key determinant of treatment selection in early gastric cancer (EGC), particularly when choosing between endoscopic ...

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

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

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 ...

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

A recent review concluded that artificial intelligence (AI) is revolutionising cardiology by transforming clinical practice.