Symposia, panels, and posters will address healthcare’s greatest challenges and the role of data science and artificial intelligence
IEEE EMBS – Tel Aviv University Public Forum 2022, the first-ever interdisciplinary conference in data science and engineering in healthcare, medicine and biology today announced symposia dedicated to research and translational advances and challenges in healthcare focused data science.
Taking Place on Oct. 19-20, 2022, in Israel at Tel Aviv University and online, the conference will focus on the research and translational advances and challenges in healthcare focused data science.
The IEEE EMBS Public Forum on Data Science aims to highlight and discuss the challenges and opportunities of Data Science innovations in healthcare, medicine, and biology and how these innovations can be translated into cutting-edge healthcare and biomedical curricula.
The forum will offer designated symposia that include speaking sessions, live panels and poster sessions on topics ranging from the semantic integration and harmonization of complex and heterogeneous biomedical data, the development of scalable Data Science and Engineering infrastructure the development of smart AI algorithms that integrate biological/physiological models the need to build a more cohesive approach to deliver personalized medicine by integrating data science and management with a biological understanding of the related disease.
Each day of the forum will provide a unique platform for scientists, engineers, and students to focus on translational data science and engineering research and healthcare innovations, as well as the need for a paradigm shift in engineering and science education and their impact on healthcare and economic growth.
Scheduled speakers include:
- Ali Tinazli, Lifespin
- Thomas Wilckens, InnVentis Ltd
- Josh Schulman, Joy Ventures
- David Fenstermacher, Health Catalyst
- Yuval Shahar, Ben Gurion University
- David Clifton, University of Oxford
- Ran Gilad-Bachrach, Tel Aviv University
- Hayit Greenspan, Tel Aviv University
- Andrew Laine, Columbia University
- Alex Frangi, University of Leeds
- Noam Shomron, Tel Aviv University
- Kira Radinsky, Diagnostic Robotics
- May Wang, Georgia Institute of Technology
- Ziv Bar-Joseph, Sonafi and Carnegie Mellon University
- Chwee Teck Lim, National University of Singapore
- Gudrun Zahlmann, Quantitative Imaging Biomarker Alliance
- Shai Shen-Orr, Technion and CytoReason Ltd
- Andreas Tolias, Baylor College of Medicine
- Natalie Mrachacz-Kersting, Albert Ludwig University of Freiburg
- Moti Freiman, Technion
- Neomi Singer, Tel Aviv Sourasky Medical Center
- Leo Joskowicz, The Hebrew University of Jerusalem, Israel
- Tammy Riklin Raviv, Ben-Gurion University
- Dimitris Fotiadis, University of Ioannina / FORTH
- Paul Sajda, Columbia University
- Ofer Barnea, Tel Aviv University
- Orna Berry, Google Cloud, Israel
“Data science offers solutions to healthcare’s toughest challenges, but not without the collaboration and passion that IEEE EMBS has come to represent,” said Metin Akay, Founding Chair & John S Dunn Endowed Chair Professor at the University of Houston and President IEEE Engineering Medicine and Biology Society 2022, “As the inaugural interdisciplinary conference in data science and engineering in healthcare, medicine and biology, IEEE EMBS – Tel Aviv University Public Forum 2022 has the opportunity to gather some of the world’s leading scientists and engineers to address some of healthcare’s greatest challenges, inspiring practitioners, researchers and students to share their inputs and discover tools that will lead to cutting-edge healthcare and biomedical engineering curricula.”
IEEE EMBS – TEL AVIV UNIVERSITY PUBLIC FORUM 2022 is being held in Israel on Oct. 19-20, 2022.
For more information on this year’s event, please visit: publicforums.embs.org/2022datascienceengineering
IEEE Engineering in Medicine and Biology Society (EMBS) is the world’s largest international society of biomedical engineers. The organization’s more than 9,000 members reside in some 97 countries around the world. EMBS provides its members with access to the people, practices, information, ideas, and opinions that are shaping one of the fastest-growing fields in science.
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