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Their model offers a transparent, data-driven approach that could help clinicians better assess risk and personalize treatment for children with this life-threatening disease. Medulloblastoma, the ...
In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a subject had heart disease or diabetes based on the presented symptoms and ...
This paper presents a smartwatch-based prediction system named ‘MedAi’ for multiple diseases such as ischemic heart disease, hypertension, respiratory disease, hyperthyroidism, hypothyroidism, stroke, ...
The identification of immune genes that distinguish patients with CRSwNP from healthy controls offers insight into disease ...
Cardiovascular disease is the leading cause of death not only in the United States but globally, per the World Health ...
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News-Medical.Net on MSNShift Bioscience proposes improved ranking system for virtual cell models to accelerate gene target discoveryShift Bioscience (Shift), a biotechnology company uncovering the biology of cell rejuvenation to develop new therapies for ...
A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...
In February 2025, Hsu and his collaborators released a machine learning model trained on more than 9.3 trillion nucleotides on the bioRxiv preprint server. Called Evo 2, Hsu compares it to a ...
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Study Finds on MSNScientists Use AI To Accurately Predict If Listeria Will Survive Food Industry DisinfectantsNew study shows AI can predict if Listeria bacteria will survive common food industry disinfectants, helping improve food safety and cleaning protocols.
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