The ICC’s Joint Center for Biocomputing and Digital Health will host a lecture on Monday, November 15, 12:00 to 1:00 p.m., in Rehki Hall, Room 214. Yousef Darestani (CEGE) will present, “Application of Machine Learning in Probabilistic Risk Assessment of Biomedical Systems: A Case Study for Transcatheter Valves.”
Additional Biocomputing and Digital Health lectures in this series.
October 25, Noon to 1:00 p.m., Traci Yu (BME), “Optimization of Deep Brain Stimulation Therapy: Application of Neural Computing”, Rehki Hall, Room 214
November 8, Noon to 1:00 p.m., Zhao Chen, MS (CsE), “‘Topology-based image semantic segmentation by graph neural networks: an application for coronary artery semantic segmentation'”, Rehki Hall, Room 214
November 15, Noon to 1:00 p.m., Yousef Darestani (CEGE), “Application of Machine Learning in Probabilistic Risk Assessment of Biomedical Systems: A Case Study for Transcatheter Valves”, Rehki Hall, Room 214
November 29, Noon to 1 :00 p.m., Zhou He, MS, “Knowledge discovery on the integrative analysis of mechanical and electrical dyssynchrony to improve cardiac resynchronization therapy”, Rekhi Hall, Room 214
December 6, Noon to 1:00 p.m., Sangyoon Han (BME), “Traction force microscopy for cells on a high-refractive-index gel with finite elasticity”, Rekhi Hall, Room 214
The Joint Center for Biocomputing and Digital Health (BDH) was co-founded by the Health Research Institute (HRI) and the Institute of Computing and Cybersystems (ICC). The center is directed by Jingfeng Jiang (BME). BDH researchers conduct research, develop innovative solutions, and provide educational opportunities in the areas of biocomputing and digital health, enhancing Michigan Tech’s ability to recruit and retain high-quality researchers and students, elevating Michigan Tech’s presence in developing technologies for healthcare delivery, and increasing knowledge sharing in the global community.