Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

Across predictive autoscaling, AI-driven observability, and cloud-based fraud detection, Mahamood Hussain Mirza work ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and ...

Researchers at the Regional Service for Agri-Food Research and Development (SERIDA) have developed a new large-scale remote ...

The radiation environment near Earth remains a challenging topic of study due to its complex dynamics, spanning multiple energy and temporal scales. During ...

Advancements in AI, multi-omics, and genome editing are transforming life sciences and biotechnology, addressing new ...

STONY BROOK, N.Y., Dec. 18, 2025 /PRNewswire/ -- Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical ...

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...

A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive ...

Alexandria, VA – A new article published in the Journal of Dental Research explores the development an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for ...