Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Ethakota, J. , Singh, B. , Bai, S. , Tareen, H. , Kumar, D. and Malik, D. (2025) The Role of Artificial Intelligence in ...

This study presents a user-friendly device for recording heart sounds, leveraging advanced technology to improve heart valve ...

April is Sjogren’s Disease Awareness MonthPeople with Sjogren's live with a high burden of disease; on average their quality ...

The promising test zeroes in on a biomarker in the blood, called phospho-tau217 (p-tau217). Scientists have discovered that ...

Electronic "nose" analysis of exhaled breath achieved 80-90% accuracy for detecting lung cancer in patients with suspicious ...

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our ...

Freenome, a biotechnology company pioneering an early cancer detection platform, today announced the appointment of Aaron ...

Background Infectious agents such as SARS-CoV-2 require strategies to contain outbreaks, particularly in hospitals where the ...

6 Key Laboratory of Research on Clinical Molecular Diagnosis for High Incidence Diseases in Western Guangxi, Guangxi, Guangxi, People's Republic of China Background Gastrointestinal cancers comprise ...

Abstract: Human health is affected by a vast spectrum of ailments, collectively called diseases, which obstruct the proper functioning of the body and may stem from diverse origins, including genetic ...