Invited Talk by Ali Kamen: Toward personalized healthcare and companion diagnostics with imaging
Abstract
In this presentation, I start with the general description of personalized
medicine and companion diagnostics, and show some applications of the
concept based on medical imaging data. In addition, I show a number of
examples, where mechanics and empirical models derived-from or
complemented-with diagnostic imaging can be used as surrogates for clinical
outcomes for certain procedures and how these models can be used in the
framework of companion diagnostic concept.
Short Bio
Ali Kamen has been with Siemens for past decade working on various early
concept project. He successfully lead teams to develop several
differentiating Siemens products including ultrasound navigation and fusion
system (e.g., eSieFusion) and 2D/3D x-ray and 3D CT based navigation system
for patient positioning and radiotherapy and interventional radiology (RTT
Patient Position Verification). He has more than 100 peer reviewed
scientific publications, and more than 75 granted and pending patents.
