Archives: “Precision Medicine”

Showing 31 - 40 of 72 posts

Joel Babdor, PhD

https://www.coltonconsortium.org/directory/joel-babdor-phd/

Assistant Professor, Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania Dr. Joel Babdor is an Assistant Professor of Systems Pharmacology and Translational Therapeutics at […]

Early Detection and Diagnosis of Autoimmune Diseases Using Foundation AI Models

https://www.coltonconsortium.org/projects/early-detection-and-diagnosis-of-autoimmune-diseases-using-foundation-ai-models/

Applying self-supervised AI to multi-modal electronic health records — integrating clinical notes, labs, and imaging — this project builds scalable diagnostic models to detect autoimmune diseases earlier and more precisely.

The Role and Mechanism of Aberrant Dendritic Cell Function in Autoimmunity

https://www.coltonconsortium.org/projects/the-role-and-mechanism-of-aberrant-dendritic-cell-function-in-autoimmunity/

Identifying a novel molecular regulator of tolerogenic dendritic cell function, this project uncovers how its loss triggers spontaneous multiorgan autoimmunity and exacerbates lupus — revealing a clinically relevant pathway in immune tolerance.

Utilizing RNA Replicons as Immune Modulators for Systemic Lupus Erythematosus

https://www.coltonconsortium.org/projects/utilizing-rna-replicons-as-immune-modulators-for-systemic-lupus-erythematosus/

A self-replicating RNA platform delivers anti-inflammatory cytokines directly to the airways, offering targeted local immune suppression without systemic toxicity — a mechanistically distinct approach to treating lupus lung disease.

The Epidermis as a Novel Therapeutic Target in Pemphigus Vulgaris

https://www.coltonconsortium.org/projects/the-epidermis-as-a-novel-therapeutic-target-in-pemphigus-vulgaris/

By profiling genetic and molecular drivers of pemphigus vulgaris across patient skin and blood, this project uncovers genotype-driven inflammatory loops and actionable targets for personalized therapy.

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.

The Role of Glycosylation in Inflammatory Bowel Disease

https://www.coltonconsortium.org/projects/the-role-of-glycosylation-in-inflammatory-bowel-disease/

Investigating how foreign sugar modifications on anti-TNF biologics trigger immune responses in pediatric IBD patients, this project aims to personalize biologic therapy selection and inform safer drug design.

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.