Keynotes

ANDREU BADAL, PhD
Real Evidence from Virtual Images: Regulatory Science Advances for the Evaluation of AI in Radiology

ANDREU BADAL, PhD
Real Evidence from Virtual Images: Regulatory Science Advances for the Evaluation of AI in Radiology
Andreu Badal is a research physicist and regulatory consultant at the U. S. Food and Drug Administration. His regulatory research focuses on the development and validation of Monte Carlo-based X-ray imaging simulation software, and the application of this computational tool to medical physics problems. Current research projects include advanced geometric modelling of computational anatomical phantoms, GPU-accelerated X-ray transport techniques, real-time dosimetry for interventional fluoroscopy, validation of machine learning algorithms in radiology, and the application of in silico imaging and virtual clinical trials for optimising breast imaging systems. Dr Badal’s regulatory expertise encompasses a broad range of imaging and computational device classes, including the regulatory evaluation of complete medical imaging systems (X-ray, CT, MRI, endoscopy), radiation treatment planning software, coronary physiologic simulation software, and machine learning-based image post-processing algorithms. He has also served as the lead reviewer for multiple Medical Device Development Tools submissions.

PROF. EHSAN SAMEI
Computational Modeling: A New Era in Medical Confidence

PROF. EHSAN SAMEI
Computational Modeling: A New Era in Medical Confidence
Ehsan Samei is the Rice Distinguished Professor at Duke University where he holds five departmental affiliations. He directs the NIH-sponsored Center for Virtual Imaging Trials (CVIT) and co-directs the FDA-sponsored Triangle Center of Excellence in Regulatory Science and Innovation (Triangle-CERSI). His expertise includes clinical physics, quantitative imaging, and relevant use of AI. His passion is to position medical physics and in silico methods to generate and accelerate patient-centric care, and do so through innovative design and compassionate practice. He has authored over 400 referred papers and four books, is a fellow of five professional societies, and was the recipient of the 2022 Marie Sklodowska-Curie Award by the International Organization of Medical Physics.

DR. MARCO PALOMBO
From Large Scale Signals to Tissue Microstructure with Diffusion MRI and Advanced Computational Modeling

DR. MARCO PALOMBO
From Large Scale Signals to Tissue Microstructure with Diffusion MRI and Advanced Computational Modeling
Dr. Marco Palombo is Associate Professor and Head of Microstructure Imaging at the Cardiff University Brain Research Imaging Centre (CUBRIC) in the School of Psychology and Lead of the Medical Image Computing group at the School of Computer Science and Informatics, at Cardiff University in Cardiff (UK). He holds a Physics degree and a PhD in Biophysics. Since 2021, he is the recipient of a Future Leaders Fellowship from the UK Research and Innovation Council aiming at combining Physics, Computer Science and Neuroscience to develop non-invasive quantitative imaging technologies (based on MRI) for early diagnosis and prognosis of neurological and psychiatric conditions.