School of Medicine
Showing 381-390 of 1,299 Results
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Talal Seddik
Clinical Associate Professor, Pediatrics - Infectious Diseases
Current Research and Scholarly InterestsTalal Seddik is a member of the Collaborative Antiviral Study Group. He is the key site investigator at the Stanford site for the following multicenter studies:
1) Enterovirus Natural History Study
Neonatal Enterovirus and Human Parechovirus Viral Sepsis: Natural History and Predictors of Morbidity and Mortality
This study is actively enrolling subjects
2) Acute Flaccid Myelitis (AFM) Study
A Prospective Study of Acute Flaccid Myelitis (AFM) to Define Natural History, Risk Factors and Pathogenetic Mechanisms
This study is closed for enrollment.
3) Congenital CMV Follow up Study
A Retrospective Follow-Up Study of The Durability of Antiviral Therapy on Long-Term Hearing and Neurodevelopmental Outcomes Among Patients Treated for Congenital Cytomegalovirus
Infection as Infants or Toddlers
https://cpic.rarediseasesnetwork.org/research-study/8604 -
Mojtaba Sedigh Fazli
Postdoctoral Scholar, Immunology and Rheumatology
BioDr. Mojtaba Fazli is a leading scientist specializing in AI/ML, computer vision, and biomedical research. He is currently a Postdoctoral Research fellow Scientist at Stanford University and a Senior Research Fellow at the Harvard Ophthalmology Artificial Intelligence Lab, Harvard University, where he previously completed a postdoctoral fellowship.
Dr. Fazli's research bridges cutting-edge artificial intelligence with groundbreaking applications in multi-scale biomedical imaging, disease modeling, and drug discovery. His expertise encompasses advanced areas of AI/ML, including computer vision for 2D/3D medical image analysis, bioinformatics, and object tracking in both 2D and 3D environments. He has played a key role in developing state-of-the-art algorithms to enhance diagnostic precision and therapeutic outcomes within the biotechnology and healthcare sectors.
With a strong foundation in both academia and industry, Dr. Fazli previously served as a Senior Open Innovation Scholar at the Novartis Institute for Biomedical Research. There, he applied his expertise in strategic planning, programming, and simulation to tackle complex biomedical challenges.
Dr. Fazli holds a Ph.D. in Computer Science, with a minor in Mathematics, from the United States, as well as a Doctorate in Business Administration from France. His academic journey also includes master’s degrees in Economics and Management, as well as Artificial Intelligence and Robotics. His interdisciplinary approach blends AI-driven innovation with practical, impactful solutions in healthcare.
At Stanford, Dr. Fazli leads research initiatives focused on integrating multimodal data in rheumatology, advancing ultrasound imaging research in Rheumatoid Arthritis, and developing AI methodologies for clinical applications. His current work also involves leveraging Generative AI and Large Language Models (LLMs) to drive innovation in medical data analysis and clinical decision support.
