AI in Infectious Diseases

Syllabus:

  • History of AI
  • Basics of machine learning
  • Which kind of dataset, which controls, and which algorithm to use for which problem?
  • Is the future hybrid and can you ignore basic statistics, probability, and calculus?
  • What do we know about SARS-CoV2 virus?
  • What are the social, cultural, and economic problems due to Covid19?
  • What are the hospital management and healthcare setup problems due to Covid19?
  • How is AI coming to use – some stellar examples 
  • Case studies of understanding virus, drug discovery
  • preventing and slowing the virus spread, Challenges of sharing data.
  • Garbage in garbage out – the problem with most COVID19 datasets 
  • How AI is and can help with the early warning of new outbreaks – smoke signals?
  • Predicting person’s s chances of succumbing to infection
  • Developing complications, and prognosis. AI for drones – last mile delivery
  • Situation monitoring, and crowd control
  • AI for diagnosis
  • Using CT scans
  • Metabolite profile
  • AI for deployment of chatbots and virtual assistants
  • AI for fighting COVID19 related misinformation