
medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 13, 2025
Abstract Long COVID, also known as post-acute sequelae of SARS-CoV-2 infection (PASC), encompasses a range symptoms persisting for weeks or months after the acute phase COVID-19. These symptoms, affecting multiple organ systems, significantly impact quality life. This study employs machine-learning approach to identify gene targets treating COVID. Using datasets GSE275334, GSE270045, and GSE157103, Recursive Ensemble Feature Selection (REFS) was applied key genes associated with The highlights therapeutic potential targeting such PPP2CB, SOCS3, ARG1, IL6R, ECHS1. Clinical trials pharmacological interventions, including dual antiplatelet therapy anticoagulants, are explored their efficacy in managing COVID-19-related complications. findings suggest that machine learning can effectively biomarkers targets, offering promising avenue personalized treatment strategies COVID patients.
Language: Английский