Search Results - "Kohane, Isaac S."

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  1. 1

    Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study by Barda, Noam, Dagan, Noa, Cohen, Cyrille, Hernán, Miguel A, Lipsitch, Marc, Kohane, Isaac S, Reis, Ben Y, Balicer, Ran D

    Published in The Lancet (British edition) (04-12-2021)
    “…Many countries are experiencing a resurgence of COVID-19, driven predominantly by the delta (B.1.617.2) variant of SARS-CoV-2. In response, these countries are…”
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  2. 2

    The Clinician and Dataset Shift in Artificial Intelligence by Finlayson, Samuel G, Subbaswamy, Adarsh, Singh, Karandeep, Bowers, John, Kupke, Annabel, Zittrain, Jonathan, Kohane, Isaac S, Saria, Suchi

    Published in The New England journal of medicine (15-07-2021)
    “…This letter outlines how to identify, and potentially mitigate, common sources of “dataset shift” in machine-learning systems. This occurs when the model…”
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  3. 3

    SMART on FHIR: a standards-based, interoperable apps platform for electronic health records by Mandel, Joshua C, Kreda, David A, Mandl, Kenneth D, Kohane, Isaac S, Ramoni, Rachel B

    “…Objective In early 2010, Harvard Medical School and Boston Children’s Hospital began an interoperability project with the distinctive goal of developing a…”
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  4. 4

    Genetic Misdiagnoses and the Potential for Health Disparities by Manrai, Arjun K, Funke, Birgit H, Rehm, Heidi L, Olesen, Morten S, Maron, Bradley A, Szolovits, Peter, Margulies, David M, Loscalzo, Joseph, Kohane, Isaac S

    Published in The New England journal of medicine (18-08-2016)
    “…This study shows that for variants initially classified as pathogenic that were later reclassified as benign, the misclassification would have been prevented…”
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    The co-morbidity burden of children and young adults with autism spectrum disorders by Kohane, Isaac S, McMurry, Andrew, Weber, Griffin, MacFadden, Douglas, Rappaport, Leonard, Kunkel, Louis, Bickel, Jonathan, Wattanasin, Nich, Spence, Sarah, Murphy, Shawn, Churchill, Susanne

    Published in PloS one (12-04-2012)
    “…Use electronic health records Autism Spectrum Disorder (ASD) to assess the comorbidity burden of ASD in children and young adults. A retrospective prevalence…”
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    An interactive online dashboard for tracking COVID-19 in U.S. counties, cities, and states in real time by Wissel, Benjamin D, Van Camp, P J, Kouril, Michal, Weis, Chad, Glauser, Tracy A, White, Peter S, Kohane, Isaac S, Dexheimer, Judith W

    “…Abstract Objective The study sought to create an online resource that informs the public of coronavirus disease 2019 (COVID-19) outbreaks in their area…”
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    Pre-existing autoimmune disease and the risk of immune-related adverse events among patients receiving checkpoint inhibitors for cancer by Kehl, Kenneth L., Yang, Shihao, Awad, Mark M., Palmer, Nathan, Kohane, Isaac S., Schrag, Deborah

    Published in Cancer Immunology, Immunotherapy (01-06-2019)
    “…Introduction Patients with pre-existing autoimmune diseases have been excluded from clinical trials of immune checkpoint inhibitors (ICIs) for cancer…”
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    Geoinference of author affiliations using NLP-based text classification by Lee, Brian, Brownstein, John S., Kohane, Isaac S.

    Published in Scientific reports (16-10-2024)
    “…Author affiliations are essential in bibliometric studies, requiring relevant information extraction from free-text affiliations. Precisely determining an…”
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  10. 10

    A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers by Szallasi, Zoltan, Carter, Scott L, Eklund, Aron C, Kohane, Isaac S, Harris, Lyndsay N

    Published in Nature genetics (01-09-2006)
    “…We developed a computational method to characterize aneuploidy in tumor samples based on coordinated aberrations in expression of genes localized to each…”
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    Development of a Histopathology Informatics Pipeline for Classification and Prediction of Clinical Outcomes in Subtypes of Renal Cell Carcinoma by Marostica, Eliana, Barber, Rebecca, Denize, Thomas, Kohane, Isaac S, Signoretti, Sabina, Golden, Jeffrey A, Yu, Kun-Hsing

    Published in Clinical cancer research (15-05-2021)
    “…Histopathology evaluation is the gold standard for diagnosing clear cell (ccRCC), papillary, and chromophobe renal cell carcinoma (RCC). However, interrater…”
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  12. 12

    Temporal bias in case-control design: preventing reliable predictions of the future by Yuan, William, Beaulieu-Jones, Brett K., Yu, Kun-Hsing, Lipnick, Scott L., Palmer, Nathan, Loscalzo, Joseph, Cai, Tianxi, Kohane, Isaac S.

    Published in Nature communications (17-02-2021)
    “…One of the primary tools that researchers use to predict risk is the case-control study. We identify a flaw, temporal bias, that is specific to and uniquely…”
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  13. 13

    Batch correction evaluation framework using a-priori gene-gene associations: applied to the GTEx dataset by Somekh, Judith, Shen-Orr, Shai S, Kohane, Isaac S

    Published in BMC bioinformatics (28-05-2019)
    “…Correcting a heterogeneous dataset that presents artefacts from several confounders is often an essential bioinformatics task. Attempting to remove these batch…”
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    Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks by Yu, Kun-Hsing, Hu, Vincent, Wang, Feiran, Matulonis, Ursula A, Mutter, George L, Golden, Jeffrey A, Kohane, Isaac S

    Published in BMC medicine (18-08-2020)
    “…Ovarian cancer causes 151,900 deaths per year worldwide. Treatment and prognosis are primarily determined by the histopathologic interpretation in combination…”
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    Simulation of undiagnosed patients with novel genetic conditions by Alsentzer, Emily, Finlayson, Samuel G., Li, Michelle M., Kobren, Shilpa N., Kohane, Isaac S.

    Published in Nature communications (12-10-2023)
    “…Rare Mendelian disorders pose a major diagnostic challenge and collectively affect 300–400 million patients worldwide. Many automated tools aim to uncover…”
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    Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? by Beaulieu-Jones, Brett K., Yuan, William, Brat, Gabriel A., Beam, Andrew L., Weber, Griffin, Ruffin, Marshall, Kohane, Isaac S.

    Published in NPJ digital medicine (30-03-2021)
    “…Machine learning can help clinicians to make individualized patient predictions only if researchers demonstrate models that contribute novel insights, rather…”
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    A database of human exposomes and phenomes from the US National Health and Nutrition Examination Survey by Patel, Chirag J., Pho, Nam, McDuffie, Michael, Easton-Marks, Jeremy, Kothari, Cartik, Kohane, Isaac S., Avillach, Paul

    Published in Scientific data (25-10-2016)
    “…The National Health and Nutrition Examination Survey (NHANES) is a population survey implemented by the Centers for Disease Control and Prevention (CDC) to…”
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    Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks by Wolfe, Cecily J, Kohane, Isaac S, Butte, Atul J

    Published in BMC bioinformatics (14-09-2005)
    “…Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression…”
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    Discovering Statistically Significant Pathways in Expression Profiling Studies by Tian, Lu, Greenberg, Steven A., Kong, Sek Won, Altschuler, Josiah, Kohane, Isaac S., Park, Peter J., Kunkel, Louis M.

    “…Accurate and rapid identification of perturbed pathways through the analysis of genome-wide expression profiles facilitates the generation of biological…”
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