Leveraging AI and computational methods for translational biophysics (Conference Presentation)

The field of Artificial Intelligence (AI) and multi-physics modeling has grown immensely in the last decade and the innovation of these tools has gained popularity as a framework for translational research. This talk will focus on the use of tools in computational methods to better understand underlying mechanisms and applications related to research in biophysics. By using tools to help researchers predict outcomes and capitalize on networks, it opens a new realm of possibility for human-specific tuning related to individual biology. These methods also give rise to understanding biophysical mechanisms that explains biology/physiology and a platform for validation. It is important that we think critically as a community on the use, application and translation of these tools for research from quantum to human.