A 2025 study projects that over one in 20 women worldwide will be diagnosed with breast cancer in her lifetime, and by 2050 ...
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
5don MSN
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” somebody might beat him up. Cuomo accused Jennings of acting like a “bully” ...
Heart disease is the No. 1 killer of American women and men — and has been for over 100 years. In fact, cardiovascular diseases are the top cause of adult deaths everywhere, responsible for 1 in 3 ...
News-Medical.Net on MSN
Causal gene mapping identifies key drivers of Alzheimer's disease progression
Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & Public Health have created the most detailed maps to date showing how genes ...
From Chicago to Minneapolis, federal immigration agents deployed on Trump administration crackdowns have relied on an unlikely tool in the heat of tense operations — cellphone cameras. That practice ...
As IntraBio works to grow the global treatment market for Aqneursa in Niemann-Pick disease type C, the company is already carving the path to a second potential use for the drug. The Texas-based ...
Communicable diseases (CDs) remain a primary global cause of morbidity and mortality, necessitating rigorous surveillance to ...
Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
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