A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.