A computer model developed by Cleveland Clinic oncologist Timothy Chan, MD, Ph.D., and colleagues accurately predicts whether immune checkpoint blockade (ICB) will be effective in patients diagnosed with a wide variety of ...
Nov 4, 2021
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New research presented this week at ACR Convergence, the American College of Rheumatology's annual meeting, shows that use of platelet inhibitors could be associated with a reduction in the occurrence of digital ulcers, painful ...
Nov 1, 2021
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Research conducted by Assistant Professor Jessie Chin's Adaptive Cognition and Interaction Design Lab (ACTION) in the School of Information Sciences at the University of Illinois Urbana-Champaign provided the foundation for ...
Oct 15, 2021
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A research team by Prof. Yang Wulin and Dai Haiming from the Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences recently proposed a genetic classifier that can predict the sensitivity of neoadjuvant ...
Sep 9, 2021
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A predictive model estimated that cervical cancer may be virtually eliminated in the United States by 2030 in communities with low poverty rates, but not until 2044 in communities with high poverty rates, according to a study ...
Sep 9, 2021
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Fast and accurate clinical assessment of the disease progression and mortality is vital for the management of COVID-19 patients. Although several predictors have been proposed, they have been limited to subjective assessment, ...
Aug 30, 2021
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Immunotherapy agents that inhibit the molecules PD1, PD-L1 or CTLA-4 have become widely used in clinical practice to treat non-small cell lung cancer, or NSCLC. Approximately 20% to 50% of advanced NSCLC patients have strong ...
Aug 20, 2021
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Prediction models based on clinical characteristics and imaging findings may help reduce the false-positive rate in women with dense breasts who undergo supplemental breast cancer screening with MRI, according to a new study ...
Aug 17, 2021
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A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study ...
Aug 11, 2021
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New research led by the University of Cambridge suggests that autism can be detected at 18-30 months using the Quantitative Checklist for Autism in Toddlers (Q-CHAT), but it is not possible to identify every child at a young ...
Jul 16, 2021
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