AIMS Main Page
Login
Register
The AIMS Conference Series
Special Session 106: Data-Driven Multiscale Modeling and Model Reduction Techniques in Biomedicine: Bridging Scales and Complexity
Organizer(s): Haralampos Hatzikirou , Dimitrios Goussis , Nikolaos Kavallaris
Parallel Session 4 :: Monday, 12/16, 17:00-19:30 Capital Suite 11 A
17:00-17:30
Andreas Deutsch
(Centre for Interdisciplinary Digital Sciences, Dresden University of Technology, Germany)
Mechanisms of cancer invasion and progression: insights from agent-based models
17:30-18:00
Jacob G Scott
(Cleveland clinic, USA)
Reinforcement learning informs optimal treatment strategies to limit antibiotic resistance
18:00-18:30
Haralampos Hatzikirou
(Khalifa University, United Arab Emirates)
How to make clinical predictions when we do not know everything? Synergies between dynamic modelling and AI
18:30-19:00
Andrei Macarie
(University of Dundee, Scotland)
Modelling Post-Operative Glioblastoma Relapse
Parallel Session 6 :: Tuesday, 12/17, 12:30-14:30 Capital Suite 11 A
12:30-13:00
Dimitris Goussis
(Khalifa University, United Arab Emirates)
COVID-19 in Greece: the dynamics of the 4th, 5th and 6th waves
13:00-13:30
Dimitris Manias
(Khalifa University, United Arab Emirates)
Data-Driven Identification of Regions for Model Reduction in Multiscale Biomedical Data
13:30-14:00
Ghada Ben Othman
(Ghent University, Belgium)
Data-Driven Models for Extended Reality Solutions in General Anesthesia Management.
14:00-14:30
Nuha Loling Othman
(Osaka University, Japan)
Spatio-temporal Dynamics of MMK4 Function for JNK Pathway from Analog to Digital Converter in Response to Stress Intensities