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 ...

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

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

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

Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...