Biography: Dr. Eddie obtained Ph.D. at Cambridge Univ. with a Cambridge Commonwealth Scholarship.

He is elected as:
• Fellow (inaugural) for National Academy of Technology (USA);
• Academician for European Academy of Sciences and Arts (EU-Austria);
• Academician for European Academy of Sciences (EU-Greece);
• Fellow (Life) of the American Society of Mechanical Engineers (USA);
• Fellow of Institute of Engineering and Technology (United Kingdom);
• Fellow of Industry Academy: International Artificial Intelligence Industry Alliance (HK),
• Fellow of International Engineering and Technology Institute (Hong Kong),
• Fellow of Asia-Pacific Technological Sciences Academy (Hong Kong),
• Distinguished Fellow for Institute of Data Science and Artificial Intelligence, (China), and,
• Fellow of the American Institute for Medical and Biological Engineering (USA) with his citation reads: "For outstanding contributions in non-contact, early detection of human-health abnormality non-invasively with infrared-physics-technology".
Eddie received 2022 Alumni Highly Commended Award from the VC of Newcastle University, UK for his contributions to the society and achievements as academia. Winner of the 2024 2nd IETI (International Engineering and Technology Institute) Ramesh Agarwal Lifetime Achievement Award in Science, Engineering or Technology. This award honors individuals with lifetime achievements in research, education, and service towards the advancement of any discipline of engineering and technology.

Since 1992, he works as Faculty in the School of Mechanical & Aerospace Engineering in Nanyang Technological University, Singapore. He is the: Lead Editor-in-Chief for the ISI Journal of Mechanics in Medicine and Biology for dissemination of original research in all fields of mechanics in medicine and biology since 2000; & Lead Editor-in-Chief for the ISI Journal of IET - AI in Surgery for dissemination of original research in integrating of artificial intelligence, surgery, and biomedical engineering, since 2024; https://www.worldscientific.com/page/iet/ai-surgery

He is included in the Stanford list of the World’s top 2% Scientists since 2019 (ranked <80 out of 64,425 as 0.001% in the field of Biomedical Engineering). The ranking method is calculated by removing the self-citation of the literature. His Google Scholar (h-index: 73+) can be found in: [http://scholar.google.com.sg/citations?user=9QW1LYAAAAAJ].

Biography: Dr. William Cho is a leading researcher in the Department of Clinical Oncology at Queen Elizabeth Hospital, Hong Kong. With a career dedicated to translational cancer research, he focuses on discovering critical biomarkers to advance cancer diagnosis, predict treatment response, and improve patient prognosis.
His prolific body of work includes over 700 SCI peer-reviewed papers, including Lancet, Lancet Oncology, Annals of Oncology, Advanced Science, Journal of Thoracic Oncology, Nature Communications, Cancer Communications, PNAS, Science Advances, Journal of the National Cancer Institute, Journal of Extracellular Vesicles, Clinical Cancer Research, Molecular Cancer, and Theranostics, among others. His research explores the frontiers of oncology, including proteomics, non-coding RNAs, extracellular vesicles, drug repurposing, and Chinese medicine.
Additionally, Dr Cho has crafted over three dozen books, including "MicroRNAs in Cancer Translational Research", "An Omics Perspective on Cancer Research", "Drug Repurposing in Cancer Therapy: Approaches and Applications", “Resistance to Anti-CD20 Antibodies and Approaches for Their Reversal”, and “Biochemical and Molecular Pharmacology in Drug Discovery” to name a few.
Dr. Cho’s influence is underscored by over 38,000 citations and an H-index above 108. In recognition of his outstanding impact, he has been named a Highly Cited Researcher by Clarivate for 2023 and 2024 and has been consecutively listed among the top 2% of the world's most influential scientists since 2017.

Abstract: This report systematically summarizes the clinical applications of new electrocardiogram (ECG) technologies in recent years, including high-frequency ECG technology, non-contact ECG technology, ECG signal processing algorithms, and deep learning models for ECG. It focuses on introducing the application achievements of high-precision ECG sensing, new ECG AI algorithms, and AI-assisted diagnosis in cardiovascular disease screening and emotional cognition, providing a new paradigm for ECG technology to move from recordability to comprehensibility and predictability.

Biography: Dr. Liu received his B.S. and Ph.D. degrees in Biomedical Engineering from Shandong University, China, in 2005 and 2010 respectively. Dr. Liu has completed the Postdoctoral trainings at Shandong University, Newcastle University in UK (2013-2014) and Emory University in USA (2015-2017). He is now the Dean of the School of Instrument Science and Engineering in Southeast University, a Professor of the State Key Laboratory of Digital Medical Engineering, and the founding Director of Wearable Heart-Sleep-Emotion Intelligent Monitoring Lab in Southeast University, leading the research works on medical big-data processing, medical device development and clinical applications. He is now the chair of Publication Committee of International Federation for Medical and Biological Engineering (IFMBE), a Council member of Chinese Society of Biomedical Engineering (CSBME), and serve as an Executive Editorial Board member for Physiological Measurement, a Deputy Editor for Medical & Biological Engineering & Computing, etc. He has published more than 300 original Journal/Conference papers, and holds more than 30 patents as an inventor. His research topics include: mHealth and intelligent monitoring, machine learning and big data processing for physiological signals, early detection and device development for cardiovascular diseases, sleep quality and emotion status monitoring.