School of Medicine
Showing 61-80 of 582 Results
-
Lindsey Ralls
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioLindsey Ralls, MD, is a Clinical Assistant Professor in the Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University. She is originally from California, and after undergraduate training at Stanford University she completed her medical degree and internship at Baylor College of Medicine in Houston, TX. She then returned to the Bay Area and completed her Anesthesia residency (2008) and Obstetric Anesthesia fellowship (2009) at Stanford University. She is interested in applying virtual reality technology to the field of Obstetric Anesthesia.
-
Sneha Ramakrishna
Assistant Professor of Pediatrics (Hematology/Oncology)
BioSneha Ramakrishna obtained her B. A. from the University of Chicago and her M.D. from the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University. In medical school, through the Howard Hughes Medical Research Scholar Award, she joined Dr. Crystal Mackall’s laboratory, where she designed and developed various GD2 CAR-Ts and tested them in preclinical models. During her residency training in Pediatrics at the Children’s Hospital of Philadelphia, she cared for some of the first patients treated with CD19 CAR T cells, learning the power of this therapy first-hand. During her fellowship in Pediatric Hematology/Oncology at the Johns Hopkins/National Cancer Institute combined program, she worked with Dr. Terry Fry. She evaluated the mechanism of CD22 CAR T cell relapse in patients by developing an antigen escape model and establishing a deeper understanding of the effects of antigen density on CAR-T phenotype, expansion, and persistence (Fry…Ramakrishna…Mackall Nat Med, 2018; Ramakrishna, et al., Clinical Cancer Research, 2019). Since arriving at Stanford, Dr. Ramakrishna leads an interdisciplinary team that designs, develops, and successfully implements a robust correlative science platform for our novel CAR-T therapies. Analyzing patient samples from our first-in-human GD2 CAR-T trial (NCT04196413) treating a universally fatal cancer, diffuse midline glioma (DMG), we identified that intracerebroventricular CAR-T administration correlates with enhanced pro-inflammatory cytokines and reduced immunosuppressive cell populations in cerebrospinal fluid as compared to intravenous CAR-T administration (Majzner*, Ramakrishna*, et al., Nature 2022 *co-first authors). Her research program evaluates unique sets of patient samples using novel single-cell immune profiling to identify the drivers of CAR-T success or failure. Building on these findings, her team will assess approaches to enhance CAR-T efficacy and translate these findings to the clinic.
Clinically, Dr. Ramakrishna cares for children with solid tumors and treats hematologic, solid, and brain tumor pediatric patients with CAR T cell therapies in the Cancer Cellular Therapies program. -
Chandra Ramamoorthy
Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric), Emerita
Current Research and Scholarly InterestsNeuro protection and neurologic outcomes in cardiac patients prior to and concurrent with cardiac surgery and catheterization
-
R J Ramamurthi
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Current Research and Scholarly InterestsProspective collection of pediatric regional block procedures and complications on to a national database
-
Mahalakshmi Ramamurthy
Postdoctoral Scholar, Developmental Behavioral Pediatrics
BioI am a postdoctoral scholar working with Dr. Jason Yeatman. With a background in optometry, vision science, psychophysics and cognitive neuroscience my long-term goal is to study the intersection of basic visual mechanisms and various neurodevelopmental disorders and to extend this understanding in creating effective early screening tools, and in advancing evidence-based therapeutic and remediation programs. Inherent to this interest is the need for developmental data in large and demographically diverse populations. I strongly believe that such inclusive research not only contributes to scientific advancements but can go beyond to bridge health and education disparities. I joined the Brain Development and Education lab at Stanford after taking a medical break. During my break, I had the opportunity to run a vision screening camp for a school for differently abled children. Many children with a learning disability are misunderstood to have a vision problem making optometrist the first people to diagnose the disability but intervention stops at that point. This kindled my curiosity and I soon discovered the lack of converging understanding on the role of visual processing in dyslexia that in turn limits the possibility of evidence-based intervention. I was deeply interested in understanding the role of vision and attention in dyslexia. Over the past three years, I developed visual measures based on the most cited hypothesis in the dyslexia literature. These measures were designed such that they inform us about the hypothesized construct in an ecologically relevant paradigm for reading. I developed a validation scheme where measures are first deployed on the adult population and various behavioral and eye tracking aspects of the measure are characterized. The measures are built on a browser-based platform (using PsychoPy© and jsPsych©) where they are validated against the laboratory-based measurements. All the web-based visual measures have timing parameters optimized to ensure measurement validity. Over the past year, I have focused on optimizing these visual measures to make them adaptive, short, and reliable for kindergarten and first grade children. My goal in the current project is to leverage this battery of visual measures to understand how visual deficits are linked to the development of reading disorders. The web-based assessments are designed to be deployed to a large and diverse population of unprecedented scale.
-
Mira Raman
Professional-NX, Psychiatry and Behavioral Sciences - Interdisciplinary Brain Sciences
Current Role at StanfordNeuroimaging Data Analyst at The BrIDGe Lab, The Division of Interdisciplinary Brain Science Research, Dept. of Psychiatry, School of Medicine.
