Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.

This article is authored by AV Arunkumar, director, IFIM Institution.

Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their physical properties and origin.

Quantum exposure cuts across data, supplier contracts, capital allocation, customer commitments, regulatory adequacy and ...

In this milestone year, during the month of June the ABWM Foundation will continue its mission of raising awareness, empowering certified wound care specialists, and transforming lives. “Wound Healing ...

The BBA Annual Meeting is a multidisciplinary conference that brings together burn care professionals from across the UK and beyond to share clinical experience, research, and advances in burn ...

Lin: Genomic classifiers are widely used to assess the risk of distant metastasis (DM) and inform chemotherapy (CT) decisions ...

New fabric-based sensor is a rolling-change for existing SBR systems — using richer data to close a safety gap for ...

International Classification of Disease codes are required to verify that medical treatments are necessary and to process ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...