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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397604 | PMC |
| http://dx.doi.org/10.3978/j.issn.2078-6891.2011.008 | DOI Listing |
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Objective: The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC).
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Passive Monitoring of Parkinson Tremor in Daily Life: A Prototypical Network Approach.
Sensors (Basel)
January 2025
School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK.
Objective and continuous monitoring of Parkinson's disease (PD) tremor in free-living conditions could benefit both individual patient care and clinical trials, by overcoming the snapshot nature of clinical assessments. To enable robust detection of tremor in the context of limited amounts of labeled training data, we propose to use prototypical networks, which can embed domain expertise about the heterogeneous tremor and non-tremor sub-classes. We evaluated our approach using data from the Parkinson@Home Validation study, including 8 PD patients with tremor, 16 PD patients without tremor, and 24 age-matched controls.
View Article and Find Full Text PDFThe purpose of this systematic review and meta-analysis was to identify the prevalence of synchronous contralateral tonsil carcinoma (SCTC) amongst patients with tonsil carcinoma or head and neck squamous cell carcinoma of unknown primary (HNSCCUP). Thirteen retrospective studies, comprising 2623 patients, were analysed, revealing an overall pooled SCTC prevalence of 4%, rising to 10% in HNSCCUP cases. HPV/p16 positivity was associated with SCTC prevalence of 3%, while HPV/p16 negativity was greater at 8%.
View Article and Find Full Text PDFFertility-sparing treatment outcomes using immune checkpoint inhibitors in endometrial cancer patients with Lynch syndrome.
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Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
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JMIR Med Educ
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Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
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