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ACGT awards $500,000 to advance immunotherapy approach for treating solid tumors

A scientific team led by Brian Brown, PhD, Professor of Genetics and Genomic Sciences and Associate Director of the Precision Immunology Institute at the Icahn School of Medicine at Mount Sinai (New York, New York), has been awarded $500,000 from Alliance for Cancer Gene Therapy to advance a promising immunotherapy approach to fight lung cancer and other solid tumor cancers.
New York United States Jamesp Allison Brian Brown Siddhartha Mukherjee Kevin Honeycutt

ACGT awards grant to advance strategies for treating lung cancer

 E-Mail IMAGE: Brian Brown, PhD, professor of Genetics and Genomic Sciences and Associate Director of the Precision Immunology Institute at the Icahn School of Medicine at Mount Sinai (New York, New York), has... view more  Credit: Mount Sinai A scientific team led by Brian Brown, PhD, Professor of Genetics and Genomic Sciences and Associate Director of the Precision Immunology Institute at the Icahn School of Medicine at Mount Sinai (New York, New York), has been awarded $500,000 f...
New York United States Jamesp Allison Brian Brown Siddhartha Mukherjee Kevin Honeycutt

Researchers Build Models Using Machine Learning Technique to Enhance Predictions of COVID-19 Outcomes

Mount Sinai Mount Sinai researchers have published one of the first studies using a machine learning technique called “federated learning” to examine electronic health records to better predict how COVID-19 patients will progress. The study was published in the Journal of Medical Internet Research – Medical Informatics on January 27. The researchers said the emerging technique holds promise to create more robust machine learning models that extend beyond a single health system without com...
Benjamin Glicksberg Mount Sinai Clinical Intelligence Center Health System Icahn School Of Medicine At Mount Sinai Genomic Sciences Journal Of Medical Internet Research

Mount Sinai researchers build models using machine learning technique to enhance predictions of COVID-19 outcomes

 E-Mail Mount Sinai researchers have published one of the first studies using a machine learning technique called "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress. The study was published in the The researchers said the emerging technique holds promise to create more robust machine learning models that extend beyond a single health system without compromising patient privacy. These models, in turn, can help triage patients and imp...
New York United States Long Island Benjamin Glicksberg Health System Mount Sinai Clinical Intelligence Center

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Cancer Researchers Reveal How Mutations in a Single Gene Can Cause Different Diseases

Read Time: Leading cancer experts at the University of Birmingham have solved a long-standing question of how various types of mutations in just one gene cause different types of diseases. A team of scientists at the University’s Institute of Cancer and Genomic Sciences, led by Professor Constanze Bonifer, studied a gene known as RUNX1, which is responsible for providing instructions for the development of all blood cells and is frequently mutated in blood cancers. The results of their ...
United Kingdom Sophie Kellaway Rachel Kahn Constanze Bonifer Life Science Alliance Kay Kendall Leukaemia Fund

COVID-19: A new more accurate test with results in less than 5 minutes – Ya Libnan

Share: A new COVID-19 test that reduces testing time from 30 minutes to less than five and delivers accurate results has been developed by researchers at the University of Birmingham. The researchers believe their method could deliver a test that is not only fast but also sufficiently sensitive. The test does not require samples to be treated at high temperatures, and it can be performed using standard laboratory equipment, making it readily deployable. A preprint paper (yet to be peer reviewed...
United Kingdom Jim Tucker Tim Dafforn Andrew Beggs University School Of Biosciences Institute Of Cancer

Cancer research reveals how mutations in a specific gene cause different types of disease

Credit: University of Birmingham Leading cancer experts at the University of Birmingham have solved a long-standing question of how various types of mutations in just one gene cause different types of diseases. A team of scientists at the Universitys Institute of Cancer and Genomic Sciences, led by Professor Constanze Bonifer, studied a gene known as RUNX1, which is responsible for providing instructions for the development of all blood cells and is frequently mutated in blood cancers. The re...
United Kingdom Gemma Mckinney Sophie Kellaway Rachel Kahn Constanze Bonifer Life Science Alliance

RNA sequencing data reveals three major molecular subtypes of Alzheimer's disease

RNA sequencing data reveals three major molecular subtypes of Alzheimers disease Researchers at the Icahn School of Medicine at Mount Sinai have identified three major molecular subtypes of Alzheimers disease (AD) using data from RNA sequencing. The study advances our understanding of the mechanisms of AD and could pave the way for developing novel, personalized therapeutics. The work was funded by the National Institute on Aging, part of the National Institutes of Health (NIH), and published i...
Emily Henderson Icahn School Of Medicine At Mount Sinai National Institutes Of Health Genomic Sciences National Institute On Medicines Partnership

Mount Sinai researchers identify and characterize 3 molecular subtypes of Alzheimer's

 E-Mail (New York, NY - January 6, 2021) - Researchers at the Icahn School of Medicine at Mount Sinai have identified three major molecular subtypes of Alzheimers disease (AD) using data from RNA sequencing. The study advances our understanding of the mechanisms of AD and could pave the way for developing novel, personalized therapeutics. The work was funded by the National Institute on Aging, part of the National Institutes of Health (NIH), and published in Science Advances on January 6, 202...
New York United States Long Island Health System National Institutes Of Health National Institute On

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