Biology Webinar | Machine Learning in Biomedical Engineering
the chair
4th Biology Webinar
Machine Learning in Biomedical Engineering
Machine learning has revolutionized the field of biomedical engineering. With the advent of high-throughput technologies, biomedical big data is now being generated at an unprecedented scale. AI models can be trained using this big data, enabling new research possibilities like digital twins. These AI models enable predictions on reactions to nutrition interventions or drugs. We have invited three distinguished speakers to this webinar to talk about how machine learning, especially models utilizing AI methods, has changed their research on nutrition intervention for weight management, cancer precision medicine, and digital twins for acute myeloid leukemia.
Date: 28 October 2024 at 02.00 p.m. CET | 9:00 a.m. EDT | 9:00 p.m. CST Asia
Webinar ID: 827 5932 8536
Webinar Secretariat: journal.webinar@mdpi.com
Meet the Event Chair
Meet Our Speakers
Dr. Zhenni Zhu
Health Risk Monitoring and Control Department, Shanghai Municipal Center for Diseases Control and Prevention, China;
Dr. Zhenni Zhu is a medical doctor, specializing in human nutrition and health, working on behavioral nutrition intervention and AI-based personalized nutrition intervention research. She is a member of the National Health Standards Committee-Nutrition and Health;, the China's National Nutrition and Health Expert Committee; and, the Chinese Nutrition Society. She is currently hosting or participating in the following projects: Food Safety, Nutrition, Health and High-quality Development in China's National Health Committee; a pilot program in China's National Nutrition and Health Expert Committee; and the Key Research and Development Program "Active Health and Healthy Aging" in China's Ministry of Science and Technology . She has published more than 20 research papers in SCI journals as the first author or corresponding author.
Prof. Hong Li
CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China;
Prof. Hong Li is a professor and principal investigator at Shanghai Institute of Nutrition and Health (SINH), Chinese Academy of Sciences (CAS). She is a Distinguished Young Scholars of NSFC and an Outstanding Member of the Youth Innovation Promotion Association of CAS. Her research focuses on algorithm development and omics data mining to understand cancer biology. She has published more than 60 papers as the (co-)first author or (co-) corresponding author in Cancer Cell, Cell Stem Cell, Genome Biology, Genome Medicine, Hepatology, Briefings in Bioinformatics, etc. She has also received awards for her work, including the Shanghai Science and Technology Progress Award, China’s Top Ten Bioinformatics Advances, etc.
Dr. Guangrong Qin
Institute for Systems Biology, Washington, USA;
Dr. Guangrong Qin is a computational biologist with expertise in bioinformatics, statistics, machine learning, and drug discovery. Dr. Qin's research focuses on developing computational tools, algorithms, platforms to facilitate precision medicine, and drug target discovery. Dr. Qin values collaborations with biologists and clinical doctors to better address biological and clinical questions and has been working on various disease types including cancer and infectious diseases. Dr. Qin has led several projects to investigate pan-cancer features based on multiomics data and develop platforms to facilitate the investigation and study of cancer. As an investigator for numerous US federally funded studies, including the NCI-funded Cancer Therapy Discovery and Development project and NCATS- funded Biomedical Data Translator project, Dr. Qin has led and developed multiple computational tools such as the Function Module States Framework, and worked on transforming biomedical data into a big disease–gene–drug knowledge graph. She has also co-authored a chapter titled "Multiple Omics Data Integration" for the book Systems Medicine: Integrative, Qualitative and Computational Approaches. Dr. Qin has been invited as a reviewer for different journals, including Nature Biotechnology, Cell Reports, BMC Genomics, Frontiers in Oncology, etc.
Sponsors and Partners
Organizer
On Monday, 28 October 2024, MDPI and the journal Biology organized a webinar entitled "Machine Learning in Biomedical Engineering".
Please find the closing summary by our Chair, Prof. Tao Huang, below.
Artificial intelligence (AI) has revolutionized the research paradigm of biomedicine. We invited three esteemed female researchers from China and the USA to speak at this webinar on the exploration of AI applications in precision nutrition, including dietary recommendations and weight management, as well as its applications in precision medicine, such as in predicting drug responses, assessing toxicity, and evaluating drug synergy. Additionally, we delved into the latest advancements in AI technologies, including digital twins, knowledge graphs, Boolean network models, and mechanistic dynamical models.
The webinar was hosted via Zoom and required prior registration to attend. The full recording can be accessed below. In order to learn about future webinars, you can sign up for our newsletter by clicking “Subscribe” at the top of the page.