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Predicting phage-host interaction via hyperbolic Poincaré graph embedding and large-scale protein language technique.
iScience
January 2025
Key Laboratory of Resources Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology of Shaanxi Province, the College of Life Sciences, Northwest University, Xi'an 710069, China.
Bacteriophages (phages) are increasingly viewed as a promising alternative for the treatment of antibiotic-resistant bacterial infections. However, the diversity of host ranges complicates the identification of target phages. Existing computational tools often fail to accurately identify phages across different bacterial species.
View Article and Find Full Text PDFArtificial intelligence meets venous thromboembolism: informaticians' insights on diagnosis, prevention, and management.
Blood Vessel Thromb Hemost
December 2024
Division of Hemostasis and Thrombosis, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron.
Front Artif Intell
January 2025
Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.
Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According to the WHO, heart disease is the foremost cause of mortality worldwide, causing an estimated 17.8 million deaths every year it consumes a significant amount of time as well as effort to figure out what is causing this, especially for medical specialists and doctors.
View Article and Find Full Text PDFAssessing Nurses' Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice.
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
Efficacy of brain stimulation therapies across psychiatric, movement, and cognitive disorders: an umbrella review synthesizing meta-analyses of randomized controlled trials.
EClinicalMedicine
February 2025
Department of Psychiatry, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China.
Background: Brain stimulation therapy (BST) has significant potential in treating psychiatric, movement, and cognitive disorders. Given the high prevalence of comorbidities among these disorders, we conducted an umbrella review to comprehensively assess the efficacy of BSTs in treating the core symptoms across these three categories of disorders.
Methods: We systematically searched for meta-analyses and network meta-analyses of randomized controlled trials with sham controls up to September 25, 2024, from databases including PubMed, PsycINFO, Embase, and the Cochrane Library.
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