clinical cohort / trial

The paper examines how tick-borne coinfections affect CD8+ T cell responses and disease progression in dogs with Leishmania infantum infection.

This study investigates how obesity affects the long-term effects of SARS-CoV-2 infection in nonhuman primates, finding persistent changes in multiple parameters in most animals.

This study shows that mitochondrial DNA mutations are linked to better responses to kinase inhibitor therapy and reduced oxidative phosphorylation in CML patients.

This study shows that activating RET mutations in medullary thyroid cancer (MTC) cells promote osteoblastic bone metastases by increasing osteoprotegerin (OPG), which inhibits bone resorption and is linked to poor patient survival.

This paper evaluates a method to estimate body fluid and blood volumes during hemodialysis using modeling and prediction algorithms without relying on specific sensors or protocols.

This study identifies immunological markers associated with PASC in patients six months post-COVID-19 infection, showing altered T-cell subsets and cytokine profiles linked to disease severity and symptom duration.

This study examines the link between circulating tumor cell subtypes, MMP9 expression, and clinicopathological features in breast cancer patients, finding significant associations with lymph node metastasis and EMT.

This study uses population pharmacokinetics to evaluate vancomycin dosing strategies in adults with cystic fibrosis, finding optimal regimens for efficacy and safety.

The paper describes the Hope for Others rapid autopsy program for metastatic breast cancer, detailing its protocols, sample collection, and findings on metastasis research and model development.

This study assesses hematobiochemical changes and pathological lesions in cattle with fasciolosis at an Ethiopian abattoir, finding significant differences between infected and non-infected animals.

This study uses virtual patient cohorts to model immune response differences in cancer and immunosuppressed COVID-19 patients, identifying key immune dysregulation factors.

This study evaluates the generalizability of a dengue classifier across multiple datasets, finding that logistic regression models perform well but require adjustments for new populations.

This study compares phage therapy outcomes using mixed versus single bacterial isolates from an MRSA case study, finding mixed isolates better predict lung infection outcomes than blood infection outcomes.

This study evaluates a polyherbal treatment for Lumpy Skin Disease in cattle, showing reduced lesion size, resolved systemic symptoms, and partial milk yield recovery within 15 days.

This paper introduces CereBRLSIM, a digital twin that predicts cerebral blood flow and CVR mechanisms in neurocritical care patients with higher accuracy than machine learning models.

This study identifies HHLA2 as a ligand-independent activator of c-Met in HCC, showing its role in tumor progression and its predictive value for c-Met inhibitor response.

The paper evaluates the postural stimulation test (PST) to differentiate primary aldosteronism from low-renin hypertension using multivariate analysis of clinical and endocrine data.

This paper reports the first antifungal susceptibility testing of Candida auris in Vietnam using the Sensititre YeastOne system, showing resistance patterns to three antifungal classes.

This study characterizes donor lungs used for research, finding higher prevalence of diabetes, smoking, and non-intravenous drug use compared to transplant lungs.

This paper develops a hybrid population PK-ML model to improve infliximab concentration predictions in pediatric and young adult Crohn's disease patients, showing better accuracy than Bayesian estimation alone.

The paper identifies novel subgroups in myeloid malignancies using a network-based clustering approach that integrates genomic and clinical features, improving prognostic accuracy.

This paper analyzes melanoma in people living with HIV, finding impaired antitumor immunity, delayed ICI treatment, and an immunosuppressive tumor microenvironment.

This study analyzes 76 lab tests across 300,000 pregnancies to reveal physiological dynamics during pregnancy and postpartum, showing delayed return to baseline and distinct patterns for complications.

This study compares eight machine learning models for coronary heart disease prediction, identifies key features, and uses SHAP and LIME to improve model interpretability.

This study investigates how cimetidine affects metformin's pharmacokinetics by inhibiting OCT1 and OCT2, showing increased plasma exposure and reduced renal clearance.

The paper tests sulbactam-durlobactam susceptibility in cefiderocol heteroresistant Acinetobacter isolates and finds no heteroresistance, supporting its efficacy and potential prioritization over cefiderocol.

This study compares ocular disease prevalence in California sea lions housed in freshwater vs. saltwater, finding no overall difference but seasonal variation linked to sun exposure and water quality.

This paper evaluates thin-layer agar (TLA) for faster, accurate bedaquiline-susceptibility testing of Mycobacterium tuberculosis directly from sputum samples, achieving high sensitivity and reducing time to result.

This paper develops a multimodal transformer model using H&E images and text reports to predict recurrence scores in hormone receptor-positive breast cancer, achieving high accuracy and generalizability.

This paper investigates the link between low choline levels, obesity, metabolic dysfunction, and neuropathology in humans and 3xTg-AD mice, finding sex-specific and obesity-related associations.