1. Overview of coronavirus pandemic2. Epidemiology and pathogenesis of novel coronavirus (SARS-COV-2)3. The Global impact of pandemic on world economy and public health response4. Genomic, proteomic and metabolomic profiling of SARS-CoV25. Current Challenges in development of therapeutic and diagnostic application for SARS-CoV2 detection6. Available drugs for treatment of SARS-CoV2 and their side effects7. Genomic and proteomic targets for development of drugs to combat pandemic8. The classical approaches for drug design and development9. Natural products as a therapy to combat against SARS-COV2 virus infection10. Support of computational methods to design and develop therapies11. Computational methods for optimizing drugs and delivery methods to manage COVID-19 pandemic12. Pharmacophore mapping and modelling approaches for drug development13. Quantitative structure activity relationship based computational approaches14. Molecular docking and molecular dynamic simulation approaches for drug development and repurposing15. Computational approaches for drug repositioning and repurposing to combat SARS-CoV2 infection16. Network biology and system biology based computational approaches for drug repositioning17. Databases, drug bank and virtual screening platforms for therapeutic development18. Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) assessment of drugs using computational tools19. Immuno-informatics and reverse vaccinomic approaches for effective vaccine design20. Artificial Intelligence based drug screening and repurposing tools and their application in present scenario21. Machine learning and deep learning-based AI tools for development of diagnostic tools22. Role and development of artificial intelligence-based smartphone apps for point-of-care coronavirus infection diagnostics23. Present therapeutic and diagnostic approaches for SARS-CoV-2 infection24. Clinically available/ under trial drugs and vaccines for treatment of SARS-CoV-225. Present and Future challenges in therapeutic designing using computational approaches26. AI enabled IoT in covid-19 detection and monitoring entire digital healthcare27. Remote monitoring and management in vitro diagnostic (IVD) devices as fixed assets28. Predict potential downtime of any IVD solutions deployed in a customer's clinical setting29. Recommendation systems for the best IVD solution for a customer's needs30. Digital healthcare data visualization and analytics for better decision-making
