Seminars and discussions on pervasive healthcare, data-driven healthcare, human factors in healthcare, and federated learning in healthcare. Promoted by Eu project WideHealth.
WideHealth Podcast Series
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12 episodes
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Podcast Overview
Seminars and discussions on pervasive healthcare, data-driven healthcare, human factors in healthcare, and federated learning in healthcare. Promoted by Eu project WideHealth.
Language
🇺🇲
Publishing Since
8/18/2021
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Recent Episodes
August 18, 2022
WideHealth Seminars with Milene Teixeira, " Automating the Generation of Dialogue Managers for Healthcare"
<p>This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279 </p> <p><br></p> <p>Speaker: Milene Teixeira </p> <p>Title: Automating the Generation of Dialogue Managers for Healthcare </p> <p>Abstract: Health dialogue systems are required to respect some special requirements such as predictability and reliability. Given the complexities of the health domain, these systems frequently rely on knowledge-based techniques. However, the automated generation of reliable policies is a challenging task and it remains an open problem. This talk will first present the challenges of current techniques for dialogue management of health dialogues. Then, I will present an approach that integrates semantic awareness and AI planning which was proposed with the aim of simplifying and automating the generation of health dialogue managers. Finally, I will discuss some of the results obtained from a living lab that was conducted in the context of the WideHealth project. </p> <p>Short Bio: Milene Santos Teixeira is a Ph.D. candidate in Computer Science at the University of Trento – Italy. Her current research focuses on the integration of AI Planning and information management techniques to address health dialogues. In 2018, she concluded her master’s degree in Computer Science at the Federal University of Santa Maria, having conducted part of her research at Brock University. Milene has also collaborated with the LASIGE group (University of Lisbon) in the context of the European project WideHealth.</p>
June 4, 2022
WideHealth Seminars with Stefan Konigorski, "StudyU: A platform for conducting digital N-of-1 trials that link personalized medicine and population health research"
<p>This podcast is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279</p> <p>Speaker: Stefan Konigorski </p> <p>Title: StudyU: A platform for conducting digital N-of-1 trials that link personalized medicine and population health research </p> <p>Abstract: Traditionally, effect estimates of health interventions have been obtained from studies of large groups of individuals. However, the derived average effects do not allow meaningful insights on whether an intervention will help a given individual – which is at the center of personalized medicine. We have developed the StudyU platform (arxiv.org/abs/2012.14201) which allows evaluating the effectiveness of health interventions on an individual level by digitally designing, publishing, and conducting so-called N-of-1 trials. In N-of-1 trials, every participant compares different health interventions of interest over time. The data generated from N-of-1 trials are hence single time series, usually within complex causal graphs, and the goal is to test interpretable effects of the interventions. The power of N-of-1 trials can be further enhanced by including sensor data to measure health outcomes. In this talk, I will introduce N-of-1 trials and the StudyU platform, present some of our work on the statistical methods for the analysis and discuss how the StudyU platform might be helpful in bridging individual-level and population-level studies by aggregating multiple N-of-1 trials. </p> <p>Short Bio: Stefan Konigorski, PhD, is a Senior Researcher in the Digital Health & Machine Learning chair at the Hasso Plattner Institute in Potsdam Germany, where he leads the Health Intervention Analytics lab. He is also Adjunct Assistant Professor in the Genetics and Genomic Sciences Department at the Icahn School of Medicine at Mount Sinai in New York. He develops statistical and machine learning methods to derive causal effects from complex observational and experimental studies, with a specific research focus on investigating personalized health trajectories and digital health interventions by using N-of-1 trials and adaptive trials.</p>
June 4, 2022
WideHealth Seminars with Walter Maetzler, "Digital biomarkers for chronic diseases: Lessons learned"
<p>This podcaste is part of the "WideHealth Seminars". This project (widehealth.eu) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952279</p> <p>Speaker: Walter Maetzler </p> <p>Title: Digital biomarkers for chronic diseases: Lessons learned </p> <p>Abstract: In recent years, many -wearable- digital devices have conquered the consumer and fitness market, and the medical and health industry also expected an enormous development boost from this advance. However, the results currently available on the detection of disease, its progression and therapy through such digital devices are rather disappointing. The regulatory bodies as well as many clinicians argue that this is mainly due to the fact that the development always starts from the technological, but not from the clinical, or even better, patient level. In this webinar, a large EU research project, IDEA-FAST, will be used as an example to show how informed digital and device-agnostic biomarkers can be developed for quality-of-life-relevant symptoms in various chronic diseases. </p> <p>Short Bio: Walter Maetzler is full professor for neurogeriatrics and deputy director of the neurology department of the University Hospital in Kiel, Germany. His main clinical interest is on Parkinson’s disease and other disorders associated with functionally relevant movement and cognitive disabilities. He leads a research group focusing on the analysis and validation of mobile sensor technology in supervised (“lab- or clinic-based”) and unsupervised (“home-based”) assessments. He is involved as principal investigator, chief clinical investigator and workpackage leader in multiple international projects investigating the potential of mobile sensor technology to improve our understanding of disease progression and treatment response in Parkinson’s disease. Examples at a European level are IDEA-FAST, Mobilise-D, Fair-Park II and Keep Control. Currently, he serves as the co-chair of the Technology task force of the Movement Disorders Society.</p>
12 total episodes available
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