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Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.11768
Abstract: Key Points Question Can a machine learning model provide survival risk stratification for patients with advanced oral cancer who have comprehensive clinicopathologic and genetic data? Findings In this 15-year cohort study of 334 patients, a… read more here.
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Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.34924
Abstract: This diagnostic study compares the performance of natural language processing of clinician documentation with that of a validated risk-stratification tool in assessing the risk of severe maternal morbidity. read more here.
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Published in 2017 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.491
Abstract: The increasing number of potent treatments for multiple sclerosis warrants screening for infections. To investigate the prevalence of infections in two independent German patient cohorts with multiple sclerosis/neuromyelitis optica spectrum disorders (NMOSD), we performed a… read more here.
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Published in 2021 at "Annals of Clinical and Translational Neurology"
DOI: 10.1002/acn3.51130
Abstract: Based on publicly available data, we reevaluated current algorithms for stratifying the risk of progressive multifocal leukoencephalopathy (PML) in natalizumab‐treated patients with multiple sclerosis, and found that there are a number of issues. First and… read more here.
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Published in 2022 at "American Journal of Hematology"
DOI: 10.1002/ajh.26734
Abstract: Myelodysplastic syndrome (MDS) is a heterogeneous group of clonal myeloid malignancies. Though several recurrent mutations are closely correlated with clinical outcomes, data concerning the association between mutation variant allele frequencies (VAF) and prognosis are limited.… read more here.
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Published in 2019 at "Cancer Medicine"
DOI: 10.1002/cam4.1991
Abstract: The impact of adjuvant radiotherapy in pT3N0 rectal cancer is controversial. We aimed to determine the risk factors for cancer‐specific survival (CSS) among these patients and to develop a risk‐stratification system to identify which of… read more here.
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Published in 2019 at "Cancer Medicine"
DOI: 10.1002/cam4.2492
Abstract: The overall survival rates for lung cancer remain unsatisfactorily low, even for patients with biomarkers for which target therapies or immunotherapies are recommended. Better identification of at‐risk patients is needed to achieve more effective personalized… read more here.
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Published in 2019 at "Cancer Medicine"
DOI: 10.1002/cam4.2504
Abstract: Previous studies of the prognostic importance of FOXO1 fusion status in patients with rhabdomyosarcoma (RMS) have had conflicting results. We re‐examined risk stratification by adding FOXO1 status to traditional clinical prognostic factors in children with… read more here.
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Published in 2021 at "Cancer Medicine"
DOI: 10.1002/cam4.4297
Abstract: Breast cancer incidence is increasing in Asia. However, few women in Singapore attend routine mammography screening. We aim to identify women at high risk of breast cancer who will benefit most from regular screening using… read more here.
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Published in 2017 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.27309
Abstract: A ratio of systolic blood pressure over left ventricle end‐diastolic pressure (SBP/LVEDP) ≤4 identifies patients with ST‐elevation myocardial infarction (STEMI) at greater risk of in‐hospital mortality or that may require the use of mechanical circulatory… read more here.