The BioMelbourne Network and KPMG present – Medtronic Diabetes and Data Driven Healthcare
Diabetes is a data-intense disease where people with diabetes track glucose, insulin, meals, medications, sleep and activity to make decisions on an event-by-event, hour-by-hour basis. The promise of cognitive computing is to liberate us from the tedious task of data tracking, by contextualizing personalized insights specific to our situation. Medtronic has partnered with IBM Watson Health to advance research into cognitive computing for diabetes and build solutions that leverage data to provide patients with insights that they can use to understand how to better manage their disease.
At this event Medtronic will be giving insights into how the their cognitive app with IBM Watson will serve as a personal assistant for people with diabetes – by uncovering important patterns and trends using a retrospective analysis of patients’ insulin, continuous glucose monitors and nutritional data – to help people understand how their behaviour affects their glucose level in real time.
Date: Thursday 25th August, 2016
Time: Registration 3.45pm for 4:00pm – 5:00pm followed by a networking session
Venue: KPMG, 147 Collins St, Melbourne VIC 3000
Speaker: Dr Huzefa Neemuchwala, PhD MBA, Sr. Director Data & Informatics Innovation, Diabetes Service & Solutions, Medtronic Diabetes, Northridge CA
Members – $65
Non-Members – $130
(Prices include GST)
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Full refund given up to 7 days prior to the event
No refunds within 7 days of the event
About the Speaker:
Dr Huzefa Neemuchwala, PhD MBA, Sr. Director Data & Informatics Innovation, Diabetes Service & Solutions, Medtronic Diabetes, Northridge CA
At Medtronic’s Diabetes Service and Solutions Unit, Huzefa Neemuchwala serves as Sr. Director for the Data and Informatics Innovation, building the digital health business. Huzefa leads global informatics innovation for Medtronic’s big-data initiatives – particularly in partnership with IBM Watson, where machine learning and analytics are being used to solve some of the hardest problems in diabetes management such as prediction of hypoglycemia, analytics for integrated patient management and robust predictive bionic pancreas systems. Huzefa is responsible for new digital health business models for products and services powered by data and analytics. In the past, Huzefa has held both technology and business roles in healthcare informatics at Abbott, McKesson, Hologic and Fujifilm.
Huzefa earned an MBA from University of California, Berkeley and a PhD in Biomedical Engineering from the University of Michigan, Ann Arbor. He also earned MS degrees in Electrical Engineering and Computer Sciences from the University of Michigan, and in Biomedical Sciences from the University of Texas Southwestern Medical School, Dallas respectively. Huzefa earned his BS in Biomedical Engineering from the University of Mumbai, India.
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