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Integrating AI/ML Models for Patient Stratification Leveraging Omics Dataset and Clinical Biomarkers from COVID-19 Patients: A Promising Approach to Personalized Medicine

Medicine and Health

Integrating AI/ML Models for Patient Stratification Leveraging Omics Dataset and Clinical Biomarkers from COVID-19 Patients: A Promising Approach to Personalized Medicine

B. Bello, Y. N. Bundey, et al.

This study conducted by Babatunde Bello, Yogesh N Bundey, Roshan Bhave, Maksim Khotimchenko, Szczepan W Baran, Kaushik Chakravarty, and Jyotika Varshney explores how AI and machine learning can stratify COVID-19 patients. By analyzing omics data and clinical biomarkers, high-accuracy models were developed to predict severity and survival, revealing essential biomarkers linked to severe cases and survival rates. This research emphasizes the transformative potential of personalized medicine in combating COVID-19 and other viral infections.

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