AI, Machine learning and Big data on the rise for Screening and Diagnostics

Session Chair & Speaker - WITH Funding(s)

• 

  Steve Shih, PhD (he/him/his)

  Associate Professor
  Concordia University
  Montreal, Quebec, Canada

Speaker - Funded(s)

• 

  Sara Mahshid, Canada Research Chair

  Assistant Professor
  Department of Bioengineering, McGill University
  Montreal, Quebec, Canada

Speaker - Tony B. Awardee(s)

• 

  Shitanshu Devrani, Btech, MSc

  Phd Student
  University of Gothenburg
  Gothenburg, Vastra Gotaland, Sweden

In the next few years, AI is likely to automate a good deal of health administration, relieving workers of mundane tasks, saving both money and time, and thereby improving clinical outcomes. This sort of AI will integrate the different parts of the system, for example the payers and providers, much more tightly. There is also expected that AI will profoundly affect biopharma industry. In thsi session, we will cover which are But most importantly, in the long term, AI will fundamentally change the main impact where AI,Machine learning and Big Data will change relationship between clinicians and patients, as diagnostics and increasing will become increasingly automated.

Presentations:

• 11:30 – 12:00 CEST

  Translational Application of Nanostructured Biosensors: Diagnostics at the Point of Care
  

  Sara Mahshid, Canada Research Chair – Department of Bioengineering, McGill University
• 12:00 – 12:30 CEST

  An Automated High-Throughput Platform for AI-Guided Development of Nanopore Membrane Biosensors and Real-time Edge Processing
  

  Shitanshu Devrani, Btech, MSc – University of Gothenburg
• 12:30 – 13:00 CEST

  Machine learning and digital microfluidics - a new route for high-throughput studies
  

  Steve Shih, PhD (he/him/his) – Concordia University