While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information ...
Aug 8, 2022
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Blockchain is a digital technology that allows a secure and decentralized record of transactions that is increasingly used for everything from cryptocurrencies to artwork. But Yale researchers have found a new use for blockchain: ...
Jun 29, 2022
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Within five years, 25% of patients suffering from chronic Lymphocytic leukemia (CLL) will develop a serious infection or need early treatment for CL: 10% of these risk dying within a month.
Jun 24, 2022
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Information reported directly by patients can be invaluable for assessing the impact of disease and treatment on patients' symptoms and quality of life -but more needs to be done to include under-served groups to avoid rising ...
May 5, 2022
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A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed by a team including University of Leeds medical scientists.
Apr 25, 2022
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A study by researchers at Mayo Clinic Cancer Center in Florida is validating the use of genomic sequencing to predict the likelihood that patients with gastric cancer will derive benefit from chemotherapy or from immunotherapy. ...
Feb 14, 2022
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A molecular feature in prostate cancer, called endogenous retroviral (ERV) RNA, has been found to have prognostic value and also distinguish differences between men of African and European or Middle Eastern ancestry, according ...
Jan 13, 2022
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A multi-institutional team, including a Lawrence Livermore National Laboratory (LLNL) contributor, has proposed a framework for digital twin models of cancer patients that researchers say would create a "paradigm shift" for ...
Dec 17, 2021
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Researchers have developed a model that could predict early on in treatment whether cancer patients will respond to immunotherapy, according to a report published today in eLife.
Nov 9, 2021
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A public/private collaboration led by researchers at The University of Texas at Austin has resulted in a new mathematical modeling technique that can accurately predict the response of tumors in breast cancer patients to ...
Oct 5, 2021
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