Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Introduction Takotsubo cardiomyopathy (TC) is a stress-induced catecholamine acute myocardial dysfunction in the absence of ...

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...