New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Multicentric evaluation of an artificial intelligence model to stratify stage II colon cancer patients from whole slide images.

Machine learning identifies HLA structural features linked to graft failure, improving prediction and donor selection in transplantation.