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Researchers characterize the immune landscape

<p>Researchers from the Icahn School of Medicine at Mount Sinai, in collaboration with the <a href="https://proteomics.cancer.gov/programs/cptac">Clinical Proteomic Tumor Analysis Consortium</a> of the National Institutes of Health, The University of Texas MD Anderson Cancer Center, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, and others, have unveiled a detailed understanding of immune responses in cancer, marking a sign...
United States New York East Harlem New Providence Francesca Petralia Pei Wang

Phosphoproteomic profiling reveals the complex interplay of immune cells in tumors

Researchers from the Icahn School of Medicine at Mount Sinai, in collaboration with the Clinical Proteomic Tumor Analysis Consortium of the National Institutes of Health, The University of Texas MD Anderson Cancer Center, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, and others, have unveiled a detailed understanding of immune responses in cancer, marking a significant development in the field.
United States Francesca Petralia Avi Maayan Pei Wang Genomic Sciences At Icahn Mount Sinai University Of Texas Md Anderson Cancer Center

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AI model accurately predicts which drugs may cause birth defects

Data scientists at the Icahn School of Medicine at Mount Sinai in New York and colleagues have created an artificial intelligence model that may more accurately predict which existing medicines, not currently classified as harmful, may in fact lead to congenital disabilities.
United States New York Lily Ramsey Avi Maayan Icahn School Of Medicine At Mount Sinai Pharmacological Sciences

Researchers develop AI model to better predic

Data scientists at the Icahn School of Medicine at Mount Sinai in New York and colleagues have created an artificial intelligence model that may more accurately predict which existing medicines, not currently classified as harmful, may in fact lead to congenital disabilities. The model, or “knowledge graph,” described in the July 17 issue of the Nature journal Communications Medicine, also has the potential to predict the involvement of pre-clinical compounds that may harm the developing ...
New York United States New Zealand The Mount New Zealand General New Providence

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