Stanford University
Showing 841-860 of 13,086 Results
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Harmeet Bedi
Clinical Associate Professor, Medicine - Pulmonary, Allergy & Critical Care Medicine
BioDr. Harmeet Bedi is the Director of Interventional Pulmonology & Bronchoscopy at Stanford University. His expertise is in minimally invasive techniques used in the diagnosis and treatment of various airway and lung diseases such as lung cancer, benign & malignant airway obstruction, and pleural diseases. He specializes in rigid & flexible bronchoscopy, robotic bronchoscopy, airway stent placement, balloon bronchoplasty, endobronchial ultrasound (EBUS), and various pleural procedures. He also specializes in a variety of tumor ablative therapies including laser therapy, electrocautery, argon plasma coagulation (APC), brachytherapy, and cryotherapy.
He founded the cone-beam computed tomography (CBCT) - guided bronchoscopy program at Stanford in 2019. CBCT-guided bronchoscopy is a novel and cutting-edge technique which combines bronchoscopy with CT imaging, allowing for improved localization and diagnosis of peripheral lung nodules. Additionally, CBCT-guided bronchoscopy will allow for numerous potential cancer therapies that are currently under development.
Dr. Bedi is a principal investigator and co-investigator on multiple clinical trials related to bronchoscopy, thoracic imaging, pulmonary nodules, and lung cancer. Specifically, he has multiple research interests within the realm of bronchoscopic device innovation and CBCT-guided bronchoscopy. -
Andrew Beel
Instructor, Structural Biology
BioAndrew Beel received an M.D. and a Ph.D. in Biophysics from Stanford, where he studied the structure and condensation of the eukaryotic chromosome under the supervision of Roger Kornberg. He started his independent research program in late 2022 after receiving an Early Independence Award from the Office of the Director of the National Institutes of Health. His group is broadly interested in mesoscale biological organization and the physical underpinnings thereof, with a current emphasis on the axial core of the metaphase chromosome. The Beel lab is actively recruiting new members at all stages of training; interested parties are encouraged to apply (please direct inquiries to beelaj@stanford.edu).
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Allison Beers Constant
Affiliate, Department Funds
BioDr. Constant is a neuropsychiatry fellow at Stanford University. She earned her Bachelor of Arts degree in neuroscience at Vanderbilt University. She completed her medical training at Columbia University Vagelos College of Physicians & Surgeons and psychiatry residency at Kaiser Permanente in San Jose. Her research includes a focus on neuropsychiatry and interventional psychiatry, with a specific interest in transcranial magnetic stimulation.
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Barry Behr, Ph.D., H.C.L.D.
Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility), Emeritus
Current Research and Scholarly InterestsDevelopment of improved embryo culture conditions in vitro. Blastocyst cultures. Embryo metabolism in vitro. Embryo maternal dialogue. Clinical application and integration of extended embryo culture systems. Monozygotic twinning. Prevention of multiple pregnancy. Sperm motility enhancers. Fluorescent and non-fluorescent markers of sperm morphology and viablility. Oocyte cryopreservation. Fertility preservation. Improving IVF outcome.
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Muzammil Behzad
Visiting Scholar, Dermatology
BioDr. Muzammil Behzad is a Visiting Professor of Artificial Intelligence at the Stanford Center for Digital Health (CDH), Stanford University, USA. He is mainly working as an Assistant Professor of AI in the Department of Information and Computer Science at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, where he is also affiliated with the SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI). Dr. Behzad is a Senior Member of IEEE and the founder and director of the BRAIN Lab, a research initiative focused on advancing the frontiers of artificial intelligence. Dr. Behzad received his Ph.D. in Artificial Intelligence in 2022 from the University of Oulu, Finland, where he was also working as a scientific researcher at the Center for Machine Vision and Signal Analysis (CMVS). Prior to that, Dr. Behzad received his partially-funded B.S. degree (with distinctions: double medalist and valedictorian) and fully-funded M.S. degree, both in Electrical Engineering, from COMSATS University Islamabad (CUI), Pakistan and King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2013 and 2017, respectively. Dr. Behzad has held esteemed visiting research positions at globally recognized institutions, including King Abdullah University of Science and Technology (KAUST), Saudi Arabia, University College London (UCL), United Kingdom, and Brown University, United States. Prior to joining KFUPM, he worked as an AI Scientist at the renowned semiconductor company AMD where he contributed to research and development (R&D) of AI solutions for real-world problems. Prior to joining CMVS, he worked as a full-time Researcher at Pukyong National University (PKNU), South Korea, and as a Research Associate at CUI, Pakistan. He has also earned the international acclaim by winning the prestigious Three-Minute Ph.D. Thesis Competition at the IEEE International Conference on Image Processing (ICIP). Dr. Behzad also has actively served the research community as a reviewer for numerous reputed journals and conferences over the years including, IEEE Transactions on Multimedia, IEEE Transactions on Medical Imaging, Neurocomputing, Computer Vision and Image Understanding, IEEE Transactions on Geoscience and Remote Sensing, Biomedical Signal Processing and Control, Image and Vision Computing, IEEE Access, Nature Scientific Reports, Healthcare Analytics, Visual Computer, NeurIPS, ECCV, IEEE ICIP, IEEE FG, IEEE ICASSP, IEEE MSLP, ECAI, and AIIH. Dr. Behzad is an innovative AI consultant and leading expert in machine learning, deep learning, computer vision, and vision-language models. Dr. Behzad has played a key role in bridging academic innovation with industry applications. He is a long-standing member of several professional organizations, including the European Association for Artificial Intelligence (EurAI), Finnish Artificial Intelligence Society (FAIS), IEEE, European Telecommunications Standards Institute (ETSI), Society for Industrial and Applied Mathematics (SIAM), British Machine Vision Association (BMVA), and the European Alliance for Innovation (EAI).
Homepage: https://muzammilbehzad.com/ -
Corinne Beinat
Assistant Professor of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsThe focus of my research is to develop novel imaging and treatment strategies to detect and better manage cancer. This approach relies first on the identification and validation of molecular targets and biomarkers that are linked with underlying the underlying biology driving the initiation and progression of cancers. We then develop novel small molecule based radiotracers to monitor fundamental molecular and cellular processes occurring in living subjects using positron emission tomography (PET) with the goal of improving cancer diagnosis and management. We additionally develop novel peptide based theragnostic agents for stratification of patients with high receptor expression, treatment with targeted radionuclide therapy, and subsequent monitoring of treatment response. Our overall goal is to develop multiple clinically translatable strategies to improve cancer diagnosis, management, and outcomes.
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Gill Bejerano
Professor of Developmental Biology, of Computer Science and of Pediatrics (Genetics)
Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system. -
Ruth Belay, MD
Clinical Assistant Professor, Urology
BioDr. Belay is a fellowship-trained urologic oncologist with the Stanford Health Care Urologic Cancer Program. She is also a clinical instructor in the Department of Urology at Stanford University School of Medicine.
Dr. Belay specializes in diagnosing and treating disorders of the urinary tract, including kidney cancer, enlarged prostate, ureteral stones, and blood in the urine. She also treats all types of genitourinary cancers. She is skilled in the use of multiple imaging and treatment modalities, including cystoscopy, endourology, laparoscopy, laser therapy and surgery, ultrasound, urodynamic testing, ureteroscopy, and robotic surgery. Dr. Belay works closely with her patients to provide a comprehensive evaluation and care plan.
Her research interests include pain control during robot-assisted prostatectomy (prostate removal) and determining the best types of guidewires for bypassing stones in the ureter. She has also studied the effects of caffeine on postmenopausal women with overactive bladder symptoms
Dr. Belay is involved with the Stanford Medicine Center for Improvement, the goal of which is to inspire and accelerate the delivery of consistent, excellent care across Stanford Medicine. She is also passionate about sharing her knowledge of urology with medical students, having taught and mentored several residents and post-doctoral fellows.
Dr. Belay’s research has appeared in several peer-reviewed journals, including Urology Practice, Journal of Endourology, and Journal of Women’s Health. She has presented her work both nationally and internationally at meetings and conferences of professional organizations including the American Urological Association (AUA); Society of Urodynamics, Female Pelvic Medicine & Urogenital Reconstruction; and World Congress of Endourology.
Dr. Belay is a member of the AUA and Society of Urologic Oncology.
