Latest AI and machine learning research in covid-19 for healthcare professionals.
Vitiligo is an autoimmune disorder characterized by heterogeneous and unpredictable depigmentation, which poses substantial challenges for objective disease monitoring and treatment evaluation in routine clinical practice. To address the lack of automated and quantitative follow-up tools, we designed and validated an end-to-end deep learning-based system using Wood's lamp imaging to support lesion...
Accurate forecasting of financial time series increasingly relies on alternative data such as environmental, social and governance (ESG) scores and news-based sentiment, yet the way these signals interact and when they actually improve forecasts is still poorly understood. We introduce an interpretable hybrid framework for asset return forecasting that combines a Temporal Fusion Transformer (TFT) ...
UNLABELLED: Anthracycline-induced cardiotoxicity remains a significant clinical challenge. We evaluated longitudinal electrocardiographic (ECG) repola...
Osteoporosis (OP) is a multifactorial disease, leading to abnormal bone remodeling, requiring targeted therapeutic interventions. This study investiga...
BACKGROUND: Prostate cancer represents the second most common malignancy among men globally, necessitating accurate diagnostic methodologies for optim...
This dataset utilizes social media videos to investigate behavior of Rose-ringed parakeet(Psittacula krameri), offering a unique opportunity to unders...
Neoadjuvant systemic therapy has emerged as a strategy to improve outcomes in high-risk localized genitourinary malignancies. In bladder cancer, neoad...
UNLABELLED: : Background and Hypothesis: Monoallelic pathogenic variants in GANAB cause autosomal dominant cystic kidney and liver disease, but quanti...
BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for social health and well-being. However, individual, s...
T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), and joining (J) gene segments, resulting in an ext...
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise impact on tumor prognosis and the immune microenviron...
INTRODUCTION: Cytotechnologists have long been central to cervical cancer screening, although their education and job responsibilities differ markedly...
Colorectal liver metastases (CRLM) represent a major clinical challenge because outcomes after hepatic resection vary widely between patients. Preoper...
BACKGROUND: Accurate segmentation of cartilage from magnetic resonance imaging (MRI) is crucial for the diagnosis and surgical planning of knee osteoa...
OBJECTIVES: Antiphospholipid antibodies (aPLs) are closely associated with recurrent spontaneous abortion (RSA) and adverse pregnancy outcomes (POs). ...
PURPOSE: To investigate imaging phenotypes in posthospitalized COVID-19 patients by integrating quantitative CT (QCT) and machine learning (ML), with ...
The heat-stable metalloprotease AprX, secreted by psychrotrophic Pseudomonas spp., is a major cause of quality deterioration in dairy products, partic...
Purpose To evaluate the performance of deep learning models integrating multimodal data for predicting microvascular invasion (MVI) in hepatocellular ...
Visual point-of-care testing (POCT) technologies convert biomolecular events into naked-eye readable signals. These systems offer rapid assay times, u...
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, intracranial hemorrhage, and long-term neurologica...