AIMC Topic: Pentoxifylline

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Machine learning-based prediction of drug response in ischemia reperfusion animal model.

Scientific reports Dec 2, 2025
Myocardial ischemia is a major global contributor to mortality. While reperfusion therapy remains the most effective treatment, it paradoxically leads to myocardial ischemia-reperfusion (MI/R) injury, resulting in irreversible cardiac damage for whic...
Neural Networks, Computer Machine Learning Animals Support Vector Machine Disease Models, Animal Anthocyanins Myocardial Reperfusion Injury Pentoxifylline
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Identifying drugs with disease-modifying potential in Parkinson's disease using artificial intelligence and pharmacoepidemiology.

Pharmacoepidemiology and drug safety May 14, 2020
PURPOSE: The aim of the study was to assess the feasibility of an approach combining computational methods and pharmacoepidemiology to identify potentially disease-modifying drugs in Parkinson's disease (PD).
Humans Artificial Intelligence Female Aged Aged, 80 and over Male Case-Control Studies Ontario Parkinson Disease Dexamethasone Antiparkinson Agents Pharmacoepidemiology Theophylline Insurance Claim Review Pentoxifylline
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