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Bioinformatics Training and Education Program

Leveraging Optical Imaging and Data Science to Enable Precision Intervention in Brain Tumor Surgery

Leveraging Optical Imaging and Data Science to Enable Precision Intervention in Brain Tumor Surgery

 When: Nov. 26th, 2024 9:30 am - 10:30 am

Learning Level: Any

To Know

Where:
Online Webinar
Organizer:
NCI
Presented By:
Daniel A. Orringer, M.D. (Grossman School of Medicine, NY)
This class has ended.

About this Class

Dr. Daniel Orringer received his M.D. from The Ohio State University, completed his residency in neurological surgery at the University of Michigan Health System, and fellowship training in neuro-oncology at the Massachusetts General-Brigham and Women's Hospital of Harvard Medical School. He is board certified in neurosurgery.

Dr. Orringer runs a highly interdisciplinary research group focused on three initiatives:

•    improving surgical outcomes for people with brain tumors,
•    using artificial intelligence to support surgical decision-making and brain tumor diagnosis, and
•    conducting clinical and translational trials of novel therapeutics.


Dr. Orringer specializes in brain mapping operations, in which he has extensive experience. Additionally, he has developed a novel laser-based technique—stimulated Raman histology—to detect tumors that were previously undetectable.


Dr. Orringer has received many awards, including the Andrew Parsa Young Investigator Basic/Translational Research Award from the Society for Neuro-Oncology, the Congress of Neurological Surgeons’ Innovator of the Year Award, and the Congress of Neurological Surgeons’ Rosenblum–Mahaley Clinical Research Award.


Dr. Orringer has co-authored over 80 peer-reviewed publications in journals such as Cancer Research, Clinical Cancer Research, Nature Biomedical Engineering, Neuro-Oncology, Molecular Cancer Research, Nature Medicine and Neurosurgery.


For more information, please contact Aniruddha Ganguly, Ph.D.

Meeting Number (access code): 2314 588 1524 
Meeting Password: dFEVsuq*229