Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques

<p>Part A: Biology of SARS-CoV-2<br>1. Understanding the molecular basis of pathogenesis of SARS-CoV-2<br>2. Epidemiology, evolution, and phylogeny of Coronaviruses<br>3. Transmission Mechanism and clinical manifestations of SARS-CoV-2<br>4. Diagnostic approaches in SARS-CoV-2 Infection (COVID-19)<br>5. Emerging therapeutic strategies for COVID-19<br>6. Vaccine development strategies and impact<br>7. Mutational landscape and emerging variants of SARS-CoV-2<br>8. Clinical management of Post COVID-19 symptoms and consequences<br><br>Part B: Machine Learning<br>9. Introduction of Artificial Intelligence (AI) and Machine Learning (ML)<br>10. Emerging Technologies for Coronaviruses (COVID-19)<br>11. Diagnosing Coronaviruses (COVID-19) Using Machine Learning<br>12. Radiology Images in Machine Learning: Diagnosing and Combatting COVID-19<br>13. Challenges and Constraints of Using Radiology Images to Diagnose COVID-19<br><br>Part C: Blockchain / IoT<br>14. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of Covid-19<br>15. Checking Covid-19 Transmission Using IoT<br>16. Interpretation and validation of data obtained from Artificial Intelligence<br>17. Socioeconomic and Educational Impact of Pandemic and Use of Blockchain to Control It</p>