Research Lab Results for artificial intelligence
Eugene Shenderov LaboratoryLab WebsitePrincipal Investigator:
Eugene Shenderov, M.D., Ph.D.
The Shenderov Lab focuses on the elucidation of the mechanisms of immune response and resistanc...e to immunotherapy in Prostate Cancer. This has led to clinical and basic research investigating the presumptive checkpoint inhibitor B7-H3.Research Areas: Cancer Immunotherapy, tumor antigens, prostate cancer, Immunogenomics, artificial intelligence, Spatialomics, B7-H3
In pursuit of understanding biomarkers or resistance and response, and regulatory molecules of immune response, we utilize artificial intelligence, immunogenomics, and spatial proteomics and transcriptomics in the laboratory and at the bedside using clinical trial correlative samples. view more
Faria LabPrincipal Investigator:
Andreia Faria, M.D., Ph.D.
Radiology and Radiological Science
Andreia Faria's Laboratory focuses on investigating brain functions using MRIs. We develop and ...apply methods for processing and analyzing diverse MRI modalities in order to characterize distinctive brain patterns and to study multiple conditions, including neurodegenerative diseases, psychiatric disorders, and stroke. We use artificial intelligence to develop tools for brain MRI segmentation and quantification, promoting the means to perform reliable and reproducible translational research. view moreResearch Areas: radiology, MRI, neuroscience
Laboratory of Computational Intensive Care Medicine (Stevens Lab)Lab WebsitePrincipal Investigator:
Robert Stevens, M.D.
Anesthesiology and Critical Care Medicine
The Johns Hopkins Laboratory of Computational Intensive Care Medicine (LCICM) has been establis...hed to gain knowledge on the mechanisms of critical illness and injury, with the aim of identifying novel methods to treat patients admitted to the intensive care unit (ICU). Members of the lab apply mathematical and statistical models, artificial intelligence, and domain expertise to unravel patterns in data from sources such as electronic health records, high-frequency physiological recordings, and medical imaging. These patterns are resolved into health signatures that can be leveraged for classification and prediction. The overarching goal is to enhance the precision, efficacy, and outcomes of care delivered to critically ill patients. view moreResearch Areas: Data Science, Intensive Care Medicine, Personalized Medicine
Neuro-Oncology Surgical Outcomes LaboratoryLab WebsitePrincipal Investigator:
Raj Mukherjee, M.D., M.P.H.
Directed by Debraj “Raj” Mukherjee, MD, MPH, the laboratory focuses on improving access to care..., reducing disparities, maximizing surgical outcomes, and optimizing quality of life for patients with brain and skull base tumors.Research Areas: medical education, surgical outcomes, neurosurgery, machine learning, access to care, surgical coaching, population health, quality of life, public health, artificial intelligence, oncology, disparities
The laboratory achieves these aims by creating and analyzing institutional and national databases, developing and validating novel patient-centered quality of life instruments, leveraging machine learning and artificial intelligence platforms to risk-stratify vulnerable patient populations, and designing novel surgical trials to push the boundaries of neurosurgical innovation.
Our research also investigates novel approaches to improve neurosurgical medical education including studying the utility of video-based surgical coaching and the design of new operative instrumentation. view more