Executive Summary : | The COVID-19 pandemic has led to a global outbreak, necessitating follow-up studies on both affected and recovered patients. Artificial Intelligence (AI) has been proposed as a promising technology to track the spread of the virus and identify high-risk patients. The Random Forest classification algorithm will be used to predict future infection probabilities in recovered patients. A digital web portal will raise public awareness about disease stages and preventive measures. The project aims to recruit COVID-19 recovered patients, conduct laboratory-based prognosis, analyze organ function, analyze cytokine/chemokine plasma levels, and develop an AI-based model for COVID-19 knowledge-base. The collaboration between Japan and India will benefit both countries in various aspects, including the development of a web portal, AI-based integrated model development, and exchange of ideas. |
Co-PI: | Dr. Ayan Roy, Lovely Professional University, Phagwara, Punjab (144001), Dr. B Anandan, University of Madras, Chennai, Tamilnadu (600113), Dr. G Singaravelu, Thiruvalluvar University, Vellore, Tamilnadu (632115), Dr. N Arul, Bharathiar University, Coimbatore, Tamilnadu (641046), Prof. N Senthil Kumar, Mizoram University (A Central University), Aizawl, Mizoram (796004), Dr. R Parthasarathi, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh (226001), Dr. S Mohana Devi, Vision Research Foundation, Sankara Nethralaya Hospital, Chennai, Tamilnadu (600006), Dr. V G Abilash, Vellore Institute of Technology (VIT), Vellore, Tamilnadu (600127) |