Archives: “Ongoing”

Showing 1 - 10 of 31 posts

Novel Tools to Track and Manipulate Immune Cells in Autoimmunity Models

https://www.coltonconsortium.org/projects/novel-tools-to-track-and-manipulate-immune-cells-in-autoimmunity-models/

Developing a cell-labeling tool to map immune cell interactions in living tissue, this project identifies the drivers of skin-resident T cell persistence in psoriasis and potential targets for disease prevention.

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.

Developing New Mode-of-Action Calcineurin Inhibitors for Acute Colitis Therapeutics

https://www.coltonconsortium.org/projects/developing-new-mode-of-action-calcineurin-inhibitors-for-acute-colitis-therapeutics/

Targeting the calcineurin-NFAT protein-protein interaction rather than enzyme active sites, this project develops a novel class of inhibitors to treat steroid-refractory ulcerative colitis with fewer side effects.

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.

Immunotherapy-Related Adverse Effects as Models for Fragile Tolerance in Humans

https://www.coltonconsortium.org/projects/immunotherapy-related-adverse-effects-as-models-for-fragile-tolerance-in-humans/

Using cancer patients experiencing immunotherapy-triggered autoimmunity as a unique human model, this project uncovers the molecular and epigenetic mechanisms by which self-reactive T cells escape immune tolerance.

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.