School of Medicine
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Michael S Binkley, MD, MS
Assistant Professor of Radiation Oncology (Radiation Therapy)
BioDr. Binkley is a radiation oncologist specializing in lymphoma treatment and an assistant professor in the Stanford University School of Medicine Department of Radiation Oncology.
His clinical expertise includes stereotactic ablative radiotherapy (SABR), total lymphoid and total body irradiation, and intensity modulated radiation therapy (IMRT).
For each patient, Dr. Binkley develops a personalized, comprehensive, and compassionate care plan. His goals are to improve both health and quality of life.
Dr. Binkley has conducted extensive research to advance cancer treatment. In his post-doctoral fellowship at Stanford, he studied the use of genomic signatures to predict response to radiotherapy. His current clinical and laboratory research seek to identify prognostic and predictive clinical, radiographic, and genomic factors to inform individualized treatment strategies.
He has co-authored articles on his research discoveries published in Cancer Discovery, Blood, the International Journal of Radiation Oncology*Biology*Physics, and elsewhere. Topics have included innovations in the treatment of lymphoma and lung cancer.
He also has made invited presentations to colleagues at national and international conferences. He has presented the latest findings on radiation therapy for lung cancer and lymphoma at meetings of the American Society of Clinical Oncology (ASCO), American Society for Radiation Oncology (ASTRO), and International Conference on Malignant Lymphoma (ICML).
Honors for Dr. Binkley include the Malcolm A. Bagshaw Award for leadership and outstanding scientific achievement. This award is named for a pioneer in radiation therapy and former chair of the Departments of Radiology and Radiation Oncology at Stanford University School of Medicine.
Dr. Binkley is a member of the American Society of Clinical Oncology, American Society for Radiation Oncology, and American Association for Cancer Research. He is a founding member of the Global nLPHL One Working (GLOW) Working Group, an international collaboration studying nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) in children and adults.
Professor of Radiation Oncology, Emeritus
Current Research and Scholarly InterestsWe seek to understand the mechanisms responsible for the resistance of cancers to treatment and to develop strategies to overcome these resistances. We are using molecular and cellular techniques and mouse models to potentiate the activity of radiation on tumors by inhibiting the bone marrow rescue of the tumor vasculature following therapy.
Mark Buyyounouski, MD, MS, FASTRO
Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsPatient-centered and artificial intelligence-augmented medical decision making
Professor of Chemical and Systems Biology and, by courtesy, of Biochemistry
Current Research and Scholarly InterestsGenomic instability contributes to many diseases, but it also underlies many natural processes. The Cimprich lab is focused on understanding how mammalian cells maintain genomic stability in the context of DNA replication stress and DNA damage. We are interested in the molecular mechanisms underlying the cellular response to replication stress and DNA damage as well as the links between DNA damage and replication stress to human disease.
David N. Cornfield
Anne T. and Robert M. Bass Professor of Pediatric Pulmonary Medicine and Professor, by courtesy, of Surgery
Current Research and Scholarly InterestsOver the past 20 years, the Cornfield Laboratory has focused upon basic, translational and clinical research, with a primary focus on lung biology. As an active clinician-scientist, delivering care to acutely and chronically ill infants and children, our lab focuses on significant clinical challenges and tried to use science to craft novel solutions to difficult clinical problems.
Maximilian Diehn, MD, PhD
Jack, Lulu, and Sam Willson Professor and Professor of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly InterestsMy laboratory focuses on two main areas: 1) cancer stem cell biology and 2) novel biomarkers for identifying the presence of malignant cells (diagnostic), predicting outcome (prognostic), and predicting response to therapy (predictive). Areas of study include cancers of the lung, breast, and gastrointestinal system. Clinically I specialize in the treatment of lung cancer and applications of stereotactic ablative radiotherapy and perform both prospective and retrospective clinical studies.
Frederick M. Dirbas, MD
Associate Professor of Surgery (General Surgery)
Current Research and Scholarly InterestsCurrently collaborating with Dr's Aaron Newman and Michael Clarke to study cancer stem cells associated with triple negative breast cancer. Advancing studies of FLASH radiotherapy in preclinical models for potential future use in humans. Investigating preclinical use of high dose gaseous nitric oxide in the treatment of solid tumors.
Associate Professor of Biology
Current Research and Scholarly InterestsMy lab is interested in the relationship between cell death and metabolism. Using techniques drawn from many disciplines my laboratory is investigating how perturbation of intracellular metabolic networks can result in novel forms of cell death, such as ferroptosis. We are interested in applying this knowledge to find new ways to treat diseases characterized by insufficient (e.g. cancer) or excessive (e.g. neurodegeneration) cell death.
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data.