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A deep learning model for molecular label transfer that enables cancer cell identification from histopathology images
Deep-learning classification systems have the potential to improve cancer diagnosis. However, development of these computational approaches so far...
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Fast histological assessment of adipose tissue inflammation by label-free mid-infrared optoacoustic microscopy
Conventional histology, as well as immunohistochemistry or immunofluorescence, enables the study of morphological and phenotypical changes during...
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Label correlation transformer for automated chest X-ray diagnosis with reliable interpretability
Computer-aided diagnosis of chest X-ray (CXR) images can help reduce the huge workload of radiologists and avoid the inter-observer variability in...
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Judicial and legislative practice and related suggestions on off-label drug use in China
BackgroundOff-label drug use exists widely in medical practice and is also an area which easily triggers controversy between patients and medical...
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Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
Label-free autofluorescence lifetime is a unique feature of the inherent fluorescence signals emitted by natural fluorophores in biological samples....
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Impact of dehydration on laparoscopic performance: a prospective, open-label, randomized cross-over trial
IntroductionDuring laparoscopic surgery, surgeons may experience prolonged periods without fluid intake, which might impact surgical performance, yet...
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Robust co-teaching learning with consistency-based noisy label correction for medical image classification
PurposeDeep neural networks (DNNs) have made great achievements in computer-aided diagnostic systems, but the success highly depends on massive data...
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Paced-curriculum distillation with prediction and label uncertainty for image segmentation
PurposeIn curriculum learning, the idea is to train on easier samples first and gradually increase the difficulty, while in self-paced learning, a...
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A reliable diabetic retinopathy grading via transfer learning and ensemble learning with quadratic weighted kappa metric
The most common eye infection in people with diabetes is diabetic retinopathy (DR). It might cause blurred vision or even total blindness. Therefore,...
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Label-free nLC-MS/MS proteomic analysis reveals significant differences in the proteome between colorectal cancer tissues and normal colon mucosa
Despite the discovery of numerous driving and passenger genes that play key roles in cancer characteristics, progress in cancer treatment has not...
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Mustard Seed Pillow for Prevention of Deformational Plagiocephaly in ≤ 32 Weeks’ Gestational Age Infants: An Open Label Randomized Controlled Trial
ObjectivesTo assess the effectiveness of using mustard seed filled pillows in preventing deformational plagiocephaly (DP) in premature infants.
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Design and rationale for an open-label, randomized, controlled pilot trial to evaluate the changes in blood uremic toxins in patients with chronic kidney disease by dietary therapy with sake lees
BackgroundPatients with chronic kidney disease (CKD) reportedly show dysbiosis, which is the imbalance of gut microbiome. Dysbiosis increases the...
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VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images
BackgroundLung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow...
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Unit-to-unit transfer due to shortage of intensive care beds in Sweden 2015–2019 was associated with a lower risk of death but a longer intensive care stay compared to no transfer: a registry study
BackgroundIntensive care unit-to-unit transfer due to temporary shortage of beds is increasing in Sweden. Transportation induces practical hazards,...
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A Prospective Open-Label Dose–Response Study to Correct Vitamin D Deficiency in Cirrhosis
BackgroundPatients with advanced liver disease often have vitamin D deficiency, but the daily dosages of vitamin D 3 needed to raise their serum...
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Additional Bicarbonate Infusion Complements WHO Rehydration Therapy in Children with Acute Diarrhea and Severe Dehydration Presenting with Severe Non-anion Gap Metabolic Acidemia: An Open Label Randomized Trial
ObjectivesTo assess the efficacy and safety of bicarbonate infusion in children with Acute Diarrhea and Severe Dehydration (ADSD) having severe...
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Chinese- and French-Manufactured Immediate-Release Glucophage® Bioequivalence: A Randomized, Open-Label, Crossover Study
ObjectiveWe aimed to assess the bioequivalence, safety, and tolerability of Chinese- and French-manufactured Glucophage ® immediate-release (GIR)...
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Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning
Introduction and hypothesisWe aimed to develop a deep learning-based multi-label classification model to simultaneously diagnose three types of...
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Safety and pharmacokinetics of imaradenant (AZD4635) in Japanese patients with advanced solid malignancies: a phase I, open-label study
PurposeImaradenant is a novel potent and selective adenosine A2A receptor antagonist that is hypothesized to reduce immune suppression in the tumor...
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Deep transfer learning to quantify pleural effusion severity in chest X-rays
PurposeThe detection of pleural effusion in chest radiography is crucial for doctors to make timely treatment decisions for patients with chronic...
