Hadar Kolb, MD

Colton Consortium Member

Areas of Focus:

Biomarker DiscoveryHuman CohortsImmune ProfilingPrecision MedicineTranslational & ClinicalAnti-Myelin Oligodendrocyte Glycoprotein Antibody Disease (MOG)Multiple SclerosisNeurologic DiseasesNeuromyelitis Optica (NMO)
  • Head of Precision Medicine, Neuroimmunology, Tel Aviv Sourasky Medical Center, Tel Aviv University
    Neurology

Dr. Hadar Kolb is a Senior Neurologist and Head of Precision Medicine in the Neuroimmunology Unit at Tel Aviv Sourasky Medical Center, affiliated with Tel Aviv University. She is a board member of the Advisory Medical Council of the Israeli Multiple Sclerosis Society.

Dr. Kolb’s clinical and research expertise centers on multiple sclerosis, neuromyelitis optica, and anti-MOG antibody disease, with a focus on precision medicine and biomarker discovery. Her current research includes developing a multi-parameter prognostic model for predicting disability and disease progression in early-stage multiple sclerosis, and investigating novel MRI tools for probing pathology in normal-appearing tissues to improve prediction of MS disease progression.

Projects

Featured Pilot 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
Project | Tel Aviv University

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
Project | Tel Aviv University

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.

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