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Dr. Franc is a Clinical Professor of Radiology - Nuclear Medicine and Molecular Imaging. He completed his B.S and M.S. in Chemical Engineering at Stanford University, Stanford, CA. He completed his medical school training at University of Southern California, Keck School of Medicine. While conducting his residency at Stanford University, in the Division of Nuclear Medicine and Molecular Imaging, he was also the chief resident. Dr. Franc’s research interests include all aspects of PET-CT as he has nearly 20 years of experience in clinical Nuclear Medicine with particular expertise in PET-CT. Dr. Franc predominantly publishes and lectures on applications and innovations of PET-CT. He has proficiency in all aspects of PET radiopharmaceutical development, spanning the design of molecules, synthesis of radioligands, and use in animal and human imaging. He also has expertise in quantitative image analysis, development of novel post-processing image reconstruction methods, and the application of artificial intelligence in human diagnostics. Dr. Franc has implemented new radiopharmaceuticals in pre-clinical and clinical research PET imaging as well as for clinical PET with applications in cancer, infectious disease (HIV), and autoimmune disease (RA). He has applied advanced computational techniques, including deep learning, to extract predictive data for prognosis of various cancers and neurodegenerative diseases from molecular imaging modalities.Since joining the faculty at Stanford in 2018, Dr. Franc has received several awards including the Radiological Society of North America 2019 Margulis Award for Excellence in Research; RSNA 2019 Trainee Research; and Most read article in Radiology 2019. He has accepted the position of Director, Residency Program, Nuclear Medicine and Molecular Imaging as well as the Director, Radiology Value-Based Care Initiative. Dr. Franc has presented more than 40 abstracts at national and international meetings and published more than 90 papers in peer-reviewed publications, as well as 9 book chapters.