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Temple Medical and Scientific Industry Symposium: Data to Decisions: How can AI, advanced flow and phenotyping personalise sleep medicine?

Tracks
Track 4
Friday, October 10, 2025
12:35 PM - 1:20 PM
Sponsored By:
Temple Medical & Scientific

Details

This interactive panel explores the transformative potential of precise airflow measurement and phenotyping in obstructive sleep apnea management, highlighting pioneering research. Moving beyond the Apnea-Hypopnea Index, it examines how advanced technologies, such as flow sensing and calibrated respiratory inductance plethysmography, deliver high-fidelity data to enable personalised treatment strategies. Crucially, the discussion emphasises that it’s not merely about AI algorithms or data generation, but how clinicians interpret and apply this information to enhance patient outcomes. Our expert panel will review practical applications of ventilatory burden, loop gain, and event-by-event phenotyping to stratify patients and optimise therapy. Attendees are invited to reflect on the critical question: we have the data—now what? Through a dynamic Q&A, the session promotes shifting from traditional metrics to mechanistic insights, bridging research and clinical practice. This symposium is essential for sleep medicine professionals dedicated to advancing patient-centric, data-driven OSA care.


Speaker

Prof Danny Eckert
Director, Fhmri Sleep Health
Flinders University

Temple Medical & Scientific Symposia: Data to Decisions: How can AI, advanced flow and phenotyping personalise sleep medicine?

Biography

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Dr Kerri Melehan
Programme Director, Sleep Medicine
University of Sydney

Temple Medical & Scientific Symposia: Data to Decisions: How can AI, advanced flow and phenotyping personalise sleep medicine?

Biography

Kerri is the senior sleep scientist at Royal Prince Alfred hospital in Sydney and runs the Sleep Medicine masters programme and sleep short courses at University of Sydney.
Carlos Teixira
Nox Medical

Temple Medical & Scientific Symposia: Data to Decisions: How can AI, advanced flow and phenotyping personalise sleep medicine?t

Biography

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