Ed Nykaza (United States of America)
Glooko VP
Global Clinical Research Evidence Generation
Ed Nykaza, PhD is Glooko's VP of Global Clinical Research & Evidence Generation. He is passionate about using data and science to improve the quality of people’s lives. In 2009, his daughter was diagnosed with T1D, which led to a pivot in his career from acoustics to diabetes. Dr. Nykaza’s role at Glooko is leading data-driven research. His research spans the full gamut of basic to applied research. He has completed over 100 scientific presentations and 35 publications. His expertise includes Python, statistical learning, diabetes device data, and reproducible research. In his free time, Dr. Nykaza enjoys hiking with his wife, coding with his son, listening to his daughter sing and trail running.

Moderator of 1 Session

 Conference Calendar

Parallel Industry Symposium 06 (Not Included In The Main Event CME/CPD Credit)

Session Type
Industry Symposium
Date
Wed, 27.04.2022
Session Time
16:15 - 17:45
Room
Hall 115
Chair(s)
Session Description
Current challenges and future development of telemedicine for the follow-up of patients with chronic pathology - Industry Symposium Supported by Glooko Inc.

Session Description:

1 - Remote monitoring as a tool for improving care for people with diabetes: the French experience

Pr Charles Thivolet examines the impact of remote monitoring for clinicians to observe the outcome in terms of improvement of care, operational efficiency of care teams and financial impacts. The objective of this session is to highlight best practices that facilitate an effective remote monitoring programme in treating people with diabetes. In particular, Pr Thivolet draws on the case of France and its ÉTAPES experiment which will now be incorporated into common law from July 2022.

2 - The Use of AI, Machine Learning, and Digital Therapeutics for Behavioral Modification

Artificial intelligence (AI) platforms can learn and predict effective interventions for people with chronic conditions to provide a customized care and more tailored therapy regimen. Digital therapeutics (DTx) combined with artificial intelligence and machine learning can allow more effective clinical observations and management for different cohorts. During this session, Dr. Mark Clements will explore how machine learning can:

- Help identify “at-risk” individuals

- Help identify optimal moments and approaches for nudging behaviors that drive outcomes

- Consider how Digital Therapeutics can be used to nudge individuals toward health-promoting behaviors

Presenter of 3 Presentations

 Conference Calendar

Q&A

Session Name
0090 - Parallel Industry Symposium 06 (Not Included In The Main Event CME/CPD Credit) (ID 63)
Session Type
Industry Symposium
Date
Wed, 27.04.2022
Session Time
16:15 - 17:45
Room
Hall 115
Presenter
Lecture Time
16:55 - 17:05

Q&A

Session Name
0090 - Parallel Industry Symposium 06 (Not Included In The Main Event CME/CPD Credit) (ID 63)
Session Type
Industry Symposium
Date
Wed, 27.04.2022
Session Time
16:15 - 17:45
Room
Hall 115
Presenter
Lecture Time
17:35 - 17:45

Introduction

Session Name
0090 - Parallel Industry Symposium 06 (Not Included In The Main Event CME/CPD Credit) (ID 63)
Session Type
Industry Symposium
Date
Wed, 27.04.2022
Session Time
16:15 - 17:45
Room
Hall 115
Presenter
Lecture Time
16:15 - 16:25