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

Part A: Biology of SARS-CoV-2
1. Understanding the molecular basis of pathogenesis of SARS-CoV-2
2. Epidemiology, evolution, and phylogeny of Coronaviruses
3. Transmission Mechanism and clinical manifestations of SARS-CoV-2
4. Diagnostic approaches in SARS-CoV-2 Infection (COVID-19)
5. Emerging therapeutic strategies for COVID-19
6. Vaccine development strategies and impact
7. Mutational landscape and emerging variants of SARS-CoV-2
8. Clinical management of Post COVID-19 symptoms and consequences

Part B: Machine Learning
9. Introduction of Artificial Intelligence (AI) and Machine Learning (ML)
10. Emerging Technologies for Coronaviruses (COVID-19)
11. Diagnosing Coronaviruses (COVID-19) Using Machine Learning
12. Radiology Images in Machine Learning: Diagnosing and Combatting COVID-19
13. Challenges and Constraints of Using Radiology Images to Diagnose COVID-19

Part C: Blockchain / IoT
14. Artificial Intelligence (AI) and Internet of Things (IoT): Application in Detecting and Containing the Spread of Covid-19
15. Checking Covid-19 Transmission Using IoT
16. Interpretation and validation of data obtained from Artificial Intelligence
17. Socioeconomic and Educational Impact of Pandemic and Use of Blockchain to Control It

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• Doenças infecciosas e contagiosas
• Inteligência artificial

COVID-19; Diagnosis; Emerging Technologies; SARS-CoV-2; Machine Learning; Artificial Intelligence (AI); Internet of Things (IoT)