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May09
1:30 PM - 2:15 PM

Transforming Healthcare with AI and ML

Ashutosh Mani
Dr. Ashutosh Mani

Senior Principal Data Scientist, Progress

Bio:

Dr. Ashutosh (Ashu) Mani serves as a Senior Principal Data Scientist leading the data science and machine learning efforts at Progress. Prior to joining the Progress team, Dr. Mani worked at Boeing as an Applied Mathematician working on projects related to machine learning, statistics and artificial intelligence. Dr. Mani’s experience in the field of healthcare include working at Bristol-Myers Squibb as a data science/statistics consultant; his doctoral research at University of Cincinnati, Ohio, where he developed algorithms to predict falls in neuro-degenerative disease patients (such as Parkinson’s Disease); and his work with firefighters in detecting and predicting physiological responses to heat stress.


Sessions:

Thu, 09 May | 1:30 PM - 2:15 PM

Transforming Healthcare with AI and ML

Machine Learning (ML) and Artificial Intelligence (AI) is transforming how healthcare and life sciences approach patient care. IDC reported in 2018 that healthcare data is growing at a rate of 36% each year. It is not humanly possible to assimilate such a huge amount of data and derive actionable insights without leveraging tools like ML and AI. Cognitive apps built with intelligence as an inherent part of their framework can be used to solve several existing healthcare challenges such as predicting no-shows, reducing readmissions and improving clinical enrollment and retention. With an eye to improve operational and clinical outcomes, healthcare and life science organizations are looking for solutions that will Improve patient engagement (patient experience of care) and outcomes (health of the population) while reducing cost (the per capita cost of healthcare). In this talk, we will explore how ML and AI are already transforming the healthcare industry and take a look at some opportunities centered around personalized medicine and preventative therapy to push the horizon further.

Machine Learning (ML) and Artificial Intelligence (AI) is transforming how healthcare and life sciences approach patient care. IDC reported in 2018 that healthcare data is growing at a rate of 36% each year. It is not humanly possible to assimilate such a huge amount of data and derive actionable insights without leveraging tools like ML and AI. Cognitive apps built with intelligence as an inherent part of their framework can be used to solve several existing healthcare challenges such as predicting no-shows, reducing readmissions and improving clinical enrollment and retention. With an eye to improve operational and clinical outcomes, healthcare and life science organizations are looking for solutions that will Improve patient engagement (patient experience of care) and outcomes (health of the population) while reducing cost (the per capita cost of healthcare).

In this talk, we will explore how ML and AI are already transforming the healthcare industry and take a look at some opportunities centered around personalized medicine and preventative therapy to push the horizon further.
Audience

Technical

Session Type

Presentation

Product

Kinvey, DataRPM

Topic

High-Productivity Application Development, Healthcare Apps

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