AI & Machine Learning in HealthCare & Medical Science

Machine learning works effectively in the presence of huge data. Medical science is producing a large amount of data every day from research and development (R&D), physicians and clinics, patients, caregivers etc. These data can be used as synchronizing the information and using it to improve healthcare infrastructure and treatments. This has the potential to help so many people, to save lives and money. As per a research, big data and machine learning in pharma and medicine could generate a value of up to $100B annually, based on better decision-making, optimized innovation, improved efficiency of research/clinical trials, and new tool creation for physicians, consumers, insurers and regulators.

Applications of Machine Learning in Medical Science-

  • Disease identification/diagnosis
  • Personalized treatment/behavioral modification
  • Drug discovery/manufacturing
  • Clinical trial research
  • Radiology and radiotherapy
  • Smart electronic health records
  • Epidemic outbreak prediction

Related Conference of AI & Machine Learning in HealthCare & Medical Science

November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

Berlin, Germany
December 10-11, 2020

2nd International Conference on Wireless Technology

Abu Dhabi, UAE
February 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
March 15-16, 2021

International Summit on  Industrial Engineering

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy

AI & Machine Learning in HealthCare & Medical Science Conference Speakers

Recommended Sessions

Related Journals

Are you interested in