IEEE EMBS in partnership with National University of Singapore hosted iHealthtech Forum on DataScience and Engineering in Healthcare, Medicine, and Biology at the National University of Singapore (NUS), Singapore on 30th – 31st May 2023. The event sponsored by Columbia University, Georgia Tech/Emory University, IEEE EMBS, IEEE EMBS Singapore Student Chapter, National University of Singapore Institute of Data Science, Singapore Health Technologies Consortium, and the University of Houston, was attended by more than 150 students, researchers, clinicians and industry leaders.
The forum reenforced EMBS’s strategic focus on leveraging the power of data science to address complex healthcare challenges, drive innovation, and improve the quality and cost-effectiveness of healthcare services provided to patients. The forum focused on interdisciplinary collaboration and the tools and methodologies necessary to analyze and extract valuable insights from large, complex, and heterogeneous healthcare datasets, to leverage machine learning and artificial intelligence techniques, and predictive models that can enhance healthcare innovation and decision-making.
An international array of plenary talks and panels from leaders in the field included:
- Ali Tinazli, Lifespin GmbH, Germany, “Turning Analog Blood Samples into Digital – A Health Data Revolution for Precision Medicine”
- Birgit and Frank Eisenhaber, Bioinformatics, A*STAR, Singapore, “Biomolecular mechanism discovery as foundation for precision medicine: Worrying trends after 2000”
- Su Bin Lim, Ajou University School of Medicine, South Korea, “Integrative Analysis of Single-Cell Genomic Data for Precision Medicine”
- Wei Chen, Fudan University, China, “Unobtrusive Sensor Systems and Health Informatics”
- Feng Mengling, NUS, Singapore, “Who are responsible for successful deployment AI technologies in healthcare”
- Liu Nan, Duke-NUS Medical School, Singapore, “Interpretable Machine Learning for Clinical Decision Making”
- Andrew Laine, Columbia University, USA, “Data Harmonization: An Imaging-Driven Omics Database / Repository for Retrospective Understanding of COPD and Planning for Future Care”
- Amir Amini, University of Louisville, USA, “4D flow MRI: Efficient Acquisition and Deep Learning Strategies for Assessment of Hemodynamics”
- Lohendran Baskaran, National Heart Centre Singapore, “Heart Attacks and Coronary Artery Disease: Using AI at Multiple Risk Profile Levels”
As part of this initiative, EMBS will launch its inaugural “Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology” in Malta in December 2023; this event will bring together experts and researchers from the healthcare, medicine, and biology fields to discuss the latest advancements, challenges, and opportunities in data science and engineering.