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Revolutionizing Healthcare - second session on using machine learning to power clinical trials
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Recording of the van der Schaar Lab's eighteenth Revolutionizing Healthcare engagement session for clinicians, which took place virtually on 7 July, 2022. This was the second of a two-part series on the topic of clinical trials. The first session took place on 25 May.
The session started with a presentation by Mihaela, summarising the previous session, key opportunities, and discussing the main machine learning solutions to the established challenges.
This was followed up by a short, presented discussion of Mihaela and Dr Eoin McKinney about machine learning solutions for estimating heterogenous treatment effects, and SyncTwin to emulate clinical trials. A second conversation between Mihaela and Prof Richard Peck about personalised dose response using machine learning then set the stage for our roundtable.
We thank Prof Carsten Utoft Niemann, Dr Eoin McKinney, Dr Pierre Marquet, and Prof Richard Peck for their participation.
Introduction - 0:00
Session overview - 0:28
Introductory presentation by Mihaela - 3:04
Dr Eoin McKinney, MD and Mihaela discussing ML solutions for estimating heterogeneous treatment effects and SyncTwin to emulate clinical trials - 9:19
Prof Richard Peck, MD and Mihaela discussing personalised dose response using ML, MD - 34:52
Roundtable discussion - 50:50
Audience Questions - 57:30
Conclusions - 01:04:05
Intro to next sessions - 01:10:28
NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.
The session started with a presentation by Mihaela, summarising the previous session, key opportunities, and discussing the main machine learning solutions to the established challenges.
This was followed up by a short, presented discussion of Mihaela and Dr Eoin McKinney about machine learning solutions for estimating heterogenous treatment effects, and SyncTwin to emulate clinical trials. A second conversation between Mihaela and Prof Richard Peck about personalised dose response using machine learning then set the stage for our roundtable.
We thank Prof Carsten Utoft Niemann, Dr Eoin McKinney, Dr Pierre Marquet, and Prof Richard Peck for their participation.
Introduction - 0:00
Session overview - 0:28
Introductory presentation by Mihaela - 3:04
Dr Eoin McKinney, MD and Mihaela discussing ML solutions for estimating heterogeneous treatment effects and SyncTwin to emulate clinical trials - 9:19
Prof Richard Peck, MD and Mihaela discussing personalised dose response using ML, MD - 34:52
Roundtable discussion - 50:50
Audience Questions - 57:30
Conclusions - 01:04:05
Intro to next sessions - 01:10:28
NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.