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The Minn Lab investigates how cancers evolve under chronic inflammation and persistent immune pressure to acquire resistance to immunotherapies, with the goal of developing innovative therapies to restore anti-tumor immunity.

… In the Minn Lab, we interrogate the intersection of chronic inflammation and interferon signalling, virus mimicry pathways, and immune checkpoint resistance in tumor cells — integrating cellular, molecular and translational approaches. Our goal is to convert mechanistic insights into new therapeutic

The Peled lab focuses on cancer immunotherapy.

… Cancer immunotherapy hold tremendous promise, but durable responses in most disease types are achieved in only a minority of patients. For example, allogeneic hematopoietic-cell transplantation (allo-HCT) is a curative treatment for hematological malignancies, but its success is limited by relapse, graft-vs-host

Joan Massagué studies the control of stem cell growth and phenotype in tumor progression, metastasis, and response to therapy.

… The Massagué lab investigates metastasis stem cells and their stromal niches throughout the metastatic cascade, with a growing interest in the dormant phase of metastasis. We are defining the phenotypic plasticity and evolution of metastatic cell populations from dormancy to outbreak, identifying drug

Physician-scientist Viviane Tabar focuses on stem cells as tools for brain repair and for modeling brain cancer.

… I am a neurosurgeon-scientist and Chair of the Department of Neurosurgery. I have clinical expertise in the surgical management of brain tumors such as complex gliomas, meningiomas, and skull base tumors. The lab is focused on two major themes: harnessing the potential of human pluripotent stem cells

The Kushal Dey lab focuses on developing machine learning models and computational pipelines that integrate genomic and epigenomic data.

… The Kushal Dey Lab builds statistical and machine learning models that integrate genetic and genomic data to prioritize variants, genes, and cell types, and to decode the causal functional architecture underlying heritable complex diseases — including immune-related diseases, like Alzheimer’s and inflammatory

Physician-scientist Charles Rudin focuses on the development and testing of novel therapeutic approaches to lung cancer in preclinical models.

… Physician-scientist Charles M. Rudin, Chief of the Thoracic Oncology Service, leads research that focuses on the development and testing of novel therapeutic approaches to lung cancer in preclinical models including patient-derived xenografts. These studies are integrated with early phase clinical trials

The Łuksza Lab develops predictive models of immune-driven evolution to understand how tumors and viruses adapt under immune pressure.

… The Łuksza Lab develops predictive models of immune-driven evolution to understand how tumors and viruses adapt under immune pressure. By integrating concepts from information theory, machine learning, statistical physics, and quantitative immunology, the lab builds computational frameworks to quantify

The Hite laboratory studies the mechanisms of ion and metabolite transport and the maintenance of genomic integrity.

… Our research group has two primary focuses. One part of the lab focuses on determining the mechanisms of intracellular ion and metabolite transport, while the second studies protein nucleic acid interactions that are critical for maintaining genomic integrity. We study these fundamental processes using

Optical engineer Milind Rajadhyaksha studies confocal microscopy for the imaging of cancer, technology development, and translational and clinical studies in skin and head and neck cancers.

… I am a mechanical and optical engineer and principal investigator in the Optical Imaging Laboratory in the Dermatology Service. My research focuses on creating novel confocal microscopes and endoscopes for imaging skin and head and neck cancers, and translating this technology to clinical applications

The Widman Lab within the Digital Oncology Program at MSKCC is using machine learning and genomics to engineer the next-generation of ultrasensitive, highly scalable liquid biopsies for early cancer detection, treatment monitoring, and detection of minimal residual disease (MRD) after surgery for early-stage cancer.

… The Widman lab within the Digital Oncology Program at MSKCC is using machine learning and genomics to engineer the next-generation of ultrasensitive, highly scalable liquid biopsies for early cancer detection, treatment monitoring, and detection of minimal residual disease (MRD) after surgery for early-stage