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Physician-scientist David R. Jones studies molecular mechanisms governing the development of metastases in lung and esophageal cancers.

… The primary reason people die from cancer is the development of metastatic disease. As a surgeon-scientist who cares for patients with earlier stage lung and esophageal cancer, my laboratory studies why patients with completely resected cancer still develop metastases and die. We focus on a class of

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

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

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

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

… About the Scott Lowe Lab Cancer biologist Scott Lowe uses genetically engineered mouse models to study how the genetic alterations in cancer cells contribute to tumorigenesis, alter treatment response, and create molecular vulnerabilities that may be targeted therapeutically. Cancer arises through an

The Akhmanova laboratory studies cell invasion and migration through tissues, and how it is controlled by surrounding tissue cells.

… Welcome to the Akhmanova lab, where we study how cells penetrate and migrate through tissues in vivo . By combining cutting-edge live imaging, mechano-biological techniques, and theoretical modelling, we aim to uncover the secrets behind these intricate processes. Fig.1 Research methodology and goals

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