Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy
Jan 15, 2026
BACKGROUND: Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of ren... read more
American journal of health promotion : AJHP
Jan 15, 2026
Healthcare is among the fastest growing sectors utilizing artificial intelligence to improve efficiency, quality and accessibility to services. In particular, the role bots can play in creating greater access and scalability in mental health services... read more
The Journal of hand surgery, European volume
Jan 15, 2026
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diagnosis, planning, intraoperative assistance, postoperative monitoring, rehabilitation, prosthetics an... read more
Journal of diabetes science and technology
Jan 15, 2026
BACKGROUND: The automated assessment and prediction of diabetic foot ulcer (DFU) severity depends heavily on precise segmentation of the ulcer region. This approach avoided reliance on built-in segmentation tools, which often lacked the accuracy need... read more
Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment
Jan 15, 2026
In this study samples of raw pistachio nuts were prepared containing from 0% to 60% adulteration with dried peas. This training set of samples were analysed by Raman spectroscopy at frequencies from 200 to 2000 cm-1 and an integrated AI model was use... read more
Speed zone thresholds in women's soccer are often based on thresholds derived from the men's game. This study applied a data-mining approach to generate (a) team-based speed zone thresholds, and (b) individualised speed zone thresholds for elite fema... read more
This study aims to develop a machine learning model capable of predicting the type of non-compliance (NC) most likely to be detected by competent authorities during official control of food establishments based on their structural, product, and manag... read more
Journal of molecular graphics & modelling
Jan 15, 2026
This study demonstrates the transformative potential of machine learning in drug discovery by integrating comparative protein and ligand analysis with novel topological machine learning methods. Our approach sifts through large chemical libraries to ... read more
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