Predicting Lifespan-Extending Chemical Compounds for C. elegans With Machine Learning
A new research paper was published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 15, Issue 13, entitled, “Predicting lifespan-extending chemical compounds for C. elegans with machine learning and biologically interpretable features.” Recently, there has been a growing interest in the development of pharmacological interventions targeting aging, as well as in the use of machine learning for analyzing aging-related data. In this new study, researchers Caio Ribeiro, Christopher K. Farmer, João Pedro de Magalhães, and Alex A. Freitas from the…
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