Biology Webinar | Machine Learning in Biomedical Engineering, 28 October 2024
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 such as digital twins. These AI models enable predictions on the reactions to nutrition interventions or drugs. We have invited three distinguished speakers to this webinar to discuss how machine learning, especially models utilizing AI methods, has enhanced 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 Announcement: https://sciforum.net/event/Biology-4
Register now for free!
Program:
| Speaker/Presentation | Time in CET | Time in EDT |
| Prof. Tao Huang Chair Introduction |
02:00–02:10 p.m. | 09:00–09:10 a.m. |
| Dr. Zhenni Zhu A Novel AI-based Personalized Nutrition Intervention on Dietary Intake Improvement and Potential Weight Management |
02:10–02:30 p.m. | 09:10–09:30 a.m. |
| Prof. Hong Li Computational Methods for Cancer Precision Medicine |
02:30–02:50 p.m. | 09:30–09:50 a.m. |
| Dr. Guangrong Qin Development of Digital Twin Systems for Acute Myeloid Leukemia |
02:50–03:10 p.m. | 09:50–10:10 a.m. |
| Q&A Session | 03:10–03:25 p.m. | 10:10–10:25 a.m. |
| Prof. Tao Huang Closing of Webinar |
03:25–03:30 p.m. | 10:25–10:30 a.m. |
After registering, you will receive a confirmation email containing the information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.
Unable to attend? Register anyway and we will inform you when the recording is available.
Webinar Chair and Keynote Speakers:
- Prof. Tao Huang (Chair), CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China;
- Dr. Zhenni Zhu, Health Risk Monitoring and Control Department, Shanghai Municipal Center for Diseases Control and Prevention, China;
- Prof. Hong Li, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China;
- Dr. Guangrong Qin, Institute for Systems Biology, Washington, USA.