From clinical decision support and explainable AI towards digital twins

Kolloquium von Prof. Henning Müller mit anschliessendem Apéro

Abstract:

This presentation will summarize the main work done in the research group of Henning Müller at the HES-SO Valais in Sierre on medical multimodal data analysis. This work ranges from image creation differences, to biomarker extraction from radiology and histopathology images towards clinical decision support. An essential part of integrating the mainly deep learning based approaches is to be able to explain decisions and predictions, whereas deep learning networks are usually black boxes.

All these aspects can help to create a digital view on patients where several options for prevention or treatment can be adapted interactively. This is also name digital twins in industry and is a concept that we expect to become more common in the medical field when longitudinal data on patients is available.

Biography:

Henning Müller studied medical informatics at the University of Heidelberg, Germany, then worked at Daimler-Benz research in Portland, OR, USA. From 1998-2002 he worked on his PhD degree in computer vision at the University of Geneva, Switzerland with a research stay at Monash University, Melbourne, Australia. Since 2002, Henning has been working for the medical informatics service at the University Hospital of Geneva. Since 2007, he has been a full professor at the HES-SO Valais and since 2011 he is responsible for the eHealth unit of the school. Since 2014, he is also professor at the medical faculty of the University of Geneva. In 2015/2016 he was on sabbatical at the Martinos Center, part of Harvard Medical School in Boston, MA, USA to focus on research activities. Henning is coordinator of the ExaMode EU project, was coordinator of the Khresmoi EU project, scientific coordinator of the VISCERAL EU project. Since early 2020 he is also a member of the Swiss National Research Council.

Veranstaltung übernehmen als iCal