Prof Pursing Methods to Reduce Animal Testing

A Kansas State University assistant professor of engineering is working to develop a framework that higher predicts illness development and issues from drug interactions than conventional strategies like animal testing.Davood B. Pourkargar, assistant professor of chemical engineering within the Carl R. Ice College of Engineering, has obtained a $245,000 grant from the National Science Foundation to improve the understanding of drug supply dynamics by a multiscale modeling framework using organ-on-a-chip experiments and machine studying.The two-year venture, “Physics-Informed Machine Learning with Organ-on-a-Chip Data for an In-Depth Understanding of Disease Progression and Drug Delivery Dynamics,” makes use of NSF funding that’s targeted on addressing the restrictions of standard animal modeling in drug growth, emphasizing the moral considerations and minimizing its use.The analysis will leverage physicochemical-based multiscale fashions of wholesome and diseased tissues, cutting-edge organ-on-a-chip experiments and machine studying to higher predict illness development and drug interactions.“This progressive, physics-informed machine studying method enhances organ-on-a-chip experiments, streamlining the preclinical course of, bettering drug efficacy and minimizing unwanted side effects,” Pourkargar mentioned. “Ultimately, the venture accelerates drug discovery, helps personalised remedies and fosters extra environment friendly, inexpensive well being care whereas decreasing reliance on animal testing.”The hybrid mannequin being developed will surpass commonplace machine learning-based fashions, precisely extrapolating and interpolating organ-on-a-chip knowledge with enhanced analytical simplicity, interpretability and a decreased want for coaching samples._ _ _Photo by way of Kansas State University

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