Archives: “Archives”

Troy Messick, PhD

https://www.coltonconsortium.org/directory/troy-messick-phd/

Research Associate Professor, Center for Advanced Therapeutics, The Wistar Institute Dr. Troy Messick is Research Associate Professor in the Genome Regulation and Cell Signaling Program of the Ellen and Ronald […]

Jonathan Miner, MD, PhD

https://www.coltonconsortium.org/directory/jonathan-miner-md-phd/

Associate Professor, Department of Medicine (Rheumatology), Perelman School of Medicine, University of Pennsylvania Dr. Jonathan Miner is an Associate Professor of Medicine in the Division of Rheumatology at the Perelman […]

Noam Ben-Eliezer, PhD

https://www.coltonconsortium.org/directory/noam-ben-eliezer-phd/

Professor, School of Biomedical Engineering, Sagol School of Neuroscience, Tel Aviv University Dr. Noam Ben-Eliezer is an Associate Professor of Biomedical Engineering and Principal Investigator in the Sagol School of […]

Stefan Feske, MD

https://www.coltonconsortium.org/directory/stefan-feske-md/

Vice Chair for Research, Department of Pathology, NYU Grossman School of Medicine / NYU Langone Health Jeffrey Bergstein Professor of Medicine, Department of Pathology, NYU Grossman School of Medicine / NYU […]

Eric K. Oermann, MD

https://www.coltonconsortium.org/directory/eric-k-oermann-md/

Associate Professor, Department of Neurosurgery, NYU Grossman School of Medicine / NYU Langone Health Associate Professor, Department of Radiology, NYU Grossman School of Medicine / NYU Langone Health Director, Health […]

Amit Bar-Or, MD, FRCP, FAAN, FANA

https://www.coltonconsortium.org/directory/amit-bar-or-md-frcp-faan-fana/

Melissa and Paul Anderson President’s Distinguished Professor, Department of Neurology, Perelman School of Medicine, University of Pennsylvania Dr. Amit Bar-Or is the inaugural Melissa and Paul Anderson President’s Distinguished Professor […]

Developing a Multi-parameter Prognostic Prediction Model for Disability Ranks and Progression of Patients with Multiple Sclerosis at the Early Stages of the Disease

https://www.coltonconsortium.org/projects/developing-a-multi-parameter-prognostic-prediction-model-for-disability-ranks-and-progression-of-patients-with-multiple-sclerosis-at-the-early-stages-of-the-disease/

Integrating clinical, imaging, and biological data from large real-world MS cohorts, this project builds a machine learning model to predict disability progression early and enable personalized treatment decisions.

Shedding Light on the Invisible: A New Paradigm for Predicting Multiple Sclerosis Disease Progression Using Novel MRI Tools for Probing Pathology in Normal Appearing Tissues

https://www.coltonconsortium.org/projects/shedding-light-on-the-invisible-a-new-paradigm-for-predicting-multiple-sclerosis-disease-progression-using-novel-mri-tools-for-probing-pathology-in-normal-appearing-tissues/

Applying advanced quantitative MRI to detect pathology invisible to current clinical tools, this project builds an AI model to predict MS progression and enable earlier, more personalized diagnosis and treatment.

Copper Transporter SLC31A1 in Th17 Cells and Multiple Sclerosis

https://www.coltonconsortium.org/projects/copper-transporter-slc31a1-in-th17-cells-and-multiple-sclerosis/

Investigating how copper transport via SLC31A1 regulates pro-inflammatory Th17 cell activity, this project uncovers a novel link between immune cell metabolism and MS, pointing toward new therapeutic targets.

An Integrative Multi-modal Approach to Define and Diagnose Pediatric Autoimmune Neurological Disorders

https://www.coltonconsortium.org/projects/an-integrative-multi-modal-approach-to-define-and-diagnose-pediatric-autoimmune-neurological-disorders/

Building the largest cerebrospinal fluid immune profile dataset in pediatric autoimmune neurological diseases to enable faster, more accurate diagnosis of MS and related conditions.