چکیده مقاله
This study used machine learning, specifically a Random Forest classifier, to identify potential JAK1 inhibitors from a pool of FDA approved drugs By leveraging computational methods and extensive feature selection, the top 10 most promising compounds were selected for further investigation, showcasing the power of data driven approaches in accelerating drug discovery and repurposing processes
کلیدواژهها
نویسندگان
Parisa Valipour
Isfahan university of medical science, Isfahan, Iran
شیوه ارجاع
Valipour, Parisa,1403,Utilizing Machine Learning for Predicting Potential JAK1 Inhibitors Among FDA-Approved Drugs,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده3 اردیبهشت 1403 · بوشهر