Spanish study identifies three distinct early SLE phenotypes
A study of 795 newly diagnosed patients in the Spanish RELES cohort identified three distinct clinical and immunological phenotypes of ...
A study of 795 newly diagnosed patients in the Spanish RELES cohort identified three distinct clinical and immunological phenotypes of ...
A new metabolomics-based diagnostic model using machine learning shows high accuracy in detecting radiation-induced heart disease through plasma biomarkers.
A study of 20 early Parkinson’s disease patients found that REM-sleep behavior disorder status correctly classified 85% of individuals into ...
A narrative review finds imaging-detected tenosynovitis is an early pathological event in inflammatory arthritis and a strong predictor of rheumatoid ...
A new hypothesis-generating review proposes that the adult liver cancer blood marker AKR1B10 may also hold diagnostic value for pediatric ...
A scoping review of 90 studies finds that tracking changes in routine blood tests over time is a growing but ...
A multicenter Chinese study found that a fine-tuned large language model identified autism spectrum disorder in young children from electronic ...
A new review maps the advances in diagnosing and treating cholangiocarcinoma while highlighting persistent gaps in early detection, drug resistance ...
A retrospective multicenter study identifies a recurring ECG pattern—new or recurrent ST-segment elevation with lead AVR depression—that may help flag ...
A systematic review and meta-analysis of 43 studies reports pooled diagnostic performance of artificial intelligence models for dengue, chikungunya, and ...
A cohort of 111 Mexican children with central nervous system tumors found that diagnostic delays longer than one or three ...
A small retrospective study found that all five children diagnosed with scaphocephaly after age one had elevated intracranial pressure at ...
A machine-learning model based on six serum proteins diagnosed esophageal squamous cell carcinoma with AUCs of 0.932 and 0.968 in ...
A theory-informed qualitative framework maps patient-navigation activities across diagnostic, treatment, post-treatment and survivorship intervals in low- and middle-income countries.
A qualitative study of 17 pregnant Asian and Hispanic women and 10 obstetric providers found that institutional protocols, rather than ...
A large-scale serology study presented at UEG Week 2026 found distinct antibody signatures up to ten years before an inflammatory ...
A three-microRNA signature carried in serum exosomes distinguished cats with feline infectious peritonitis from healthy controls with an area under ...
A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...
A South Korean study of 88 children and adolescents found that two or more ultrasound abnormalities in an enlarged but ...
A new graph-based machine learning method called GraphiRNA models the relationships among microRNAs, including negative correlations, to diagnose Alzheimer's disease ...
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