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Comprehensive benchmarking of computational tools for predicting toxicokinetic and physicochemical properties of chemicals.
J Cheminform
December 2024
Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure-Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties.
View Article and Find Full Text PDFA machine learning approach for identification of vascular access patency in hemodialysis patients using photoplethysmography: A pilot study.
J Vasc Access
December 2024
Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan.
Introduction: Vascular access (VA) is essential for patients with hemodialysis, and its dysfunction is a major complication that can reduce quality of life or even threaten life. VA patency is not only difficult to predict on an individual basis, but also challenging to predict in real-time. To overcome this challenge, this study aimed to develop a machine learning approach to predict 6-month primary patency (PP) using photoplethysmography (PPG) signals acquired from the tips of both index fingers.
View Article and Find Full Text PDFEvaluation of a cognition-sensitive spatial virtual reality game for Alzheimer's disease.
Med Biol Eng Comput
December 2024
Department of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, 75 Chancellors Cir, Winnipeg, MB, R3T 5V6, Canada.
Spatial impairment characterizes Alzheimer's disease (AD) from its earliest stages. We present the design and preliminary evaluation of "Barn Ruins," a serious virtual reality (VR) wayfinding game for early-stage AD. Barn Ruins is tailored to the cognitive abilities of this population, featuring simple controls and error-based scoring system.
View Article and Find Full Text PDF[Electroacupuncture improves learning and memory function and promotes hippocampal synaptic regeneration in rats with cerebral ischemia-reperfusion injury].
Nan Fang Yi Ke Da Xue Xue Bao
December 2024
Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Objectives: To explore the neuroprotective mechanism of electroacupuncture at the acupoints and in rats with cerebral ischemia-reperfusion (IR) injury.
Methods: Forty-eight male SD rats were equally randomized into sham operation group, cerebral IR model group, acupoint electroacupuncture group and non-acupoint acupuncture group. In the latter 3 groups, cerebral focal ischemic injury was induced using the Longa method; in the two electroacupuncture groups, electroacupuncture was performed either at the acupoints and or at non-acupoint sites for 7 days.
Automation, machine learning, and AI: considerations for commissioners, providers, and recipients of health care.
Br J Gen Pract
January 2025
Director, Community Involvement and Workforce Innovation, Health Innovation Oxford and Thames Valley, and Associate Fellow, Green Templeton College, University of Oxford.
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