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Findings from two conjoint experiments conducted in Austria and Italy revealed differences in the determinants of COVID-19 vaccine hesitancy and vaccine fatigue, suggesting that vaccination campaigns should be tailored to different groups according to previous vaccination status.
DeepGlioma, a multimodal deep learning approach for intraoperative diagnostic screening of diffuse glioma, trained on stimulated Raman histology and large-scale public genomic data, can predict molecular alterations for diffuse glioma diagnosis with high accuracy.
Analysis from a population cohort in Israel found that a third booster dose of the BNT162b2 mRNA vaccine in mothers before or during pregnancy was associated with greater protection against COVID-19 hospitalization in their infants compared to two doses.
Integrated analyses reveal that multiomics captured the heterogeneity of metabolic states accompanying obesity and changes in metabolic health in response to lifestyle intervention that are not apparent in body mass index measurements.
A new multilevel clustering approach applied retrospectively to 13,000 transcriptomes of different tumors reveals a new diagnostic classification of childhood cancers, in some cases allowing a better prediction of disease outcomes.
A flexible and compact database containing rare variant genotypes and phenotypes of 77,539 participants sequenced by the 100,000 Genomes Project enables the identification of new disease-causing genes.
A machine learning model that uses longitudinal ctDNA metrics robustly predicts survival in two phase 3 trials of patients with metastatic NSCLC, which may improve therapy selection and risk stratification.
The integration of DNA methylation profiling and targeted sequencing with neuropathology improves the diagnostic accuracy of central nervous system tumors in a population-based cohort of more than 1,200 newly diagnosed pediatric patients.
The combination of neoadjuvant nivolumab, ipilimumab and chemotherapy showed promising efficacy in patients with resectable non-small cell lung cancer, with higher tumor immune cell infiltration and tertiary lymphoid structures after treatment compared with neoadjuvant nivolumab plus chemotherapy.
New experimental models provide much-needed tools for understanding how genetically diverse multiple myeloma progresses and evolves in response to therapy.
Analyses of eight dietary patterns revealed that adherence to low insulinemic, low inflammatory or diabetes risk-reducing diets was associated with the largest risk reduction of cardiometabolic diseases and cancer in US men and women.
Conserved microbiome features across clinical and geographical variations may enable microbiome-based predictions of outcomes in CD19-targeted CAR-T cell immunotherapy
Better approaches are crucial to improve identification of people with active tuberculosis (TB), accelerate treatment and curtail disease transmission. A randomized trial suggests that a mobile clinic using DNA-based diagnosis is one such tool to reduce time to treatment of individuals with TB.
Dysbiosis of the gut microbiome in critically ill patients, coupled with impaired innate immune responses, may lower the barrier to acquiring infectious pathogens in the hospital setting.
Clinical, genomic and transcriptomic analyses of paired samples of synchronous bilateral female breast cancer identify associations between tumor concordance and immune infiltrates levels and response to neoadjuvant treatment.
In a cohort of patients with cerebral arachnoid cysts, multiomic analyses reveal de novo variants causing genetic neurodevelopmental conditions in up to 16% of cases, suggesting that surgery in these cases may not improve non-mass effect-related symptoms.
The potential of evinacumab, a monoclonal antibody targeting angiopoietin-like 3, for reducing triglyceride levels was tested in patients with severe hypertriglyceridemia due to differing genetic etiologies.
A combination of real-world evidence and a reanalysis of phase 3 clinical trial data unveils KRAS codon G12 mutations as a biomarker of resistance to trifluridine/tipiracil in metastatic colorectal cancer.
A deep-learning algorithm was developed to identify skin lesions caused by the mpox virus and was then implemented in a web-based app designed for patient use.
Neutralizing antibody titers elicited by either ancestral or bivalent COVID-19 vaccine boosters are predicted to increase protection against severe disease due to SARS-CoV-2 variants.