Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
If algorithms can track, classify, and predict behaviour at scale, can they also narrate a life before it is lived?
The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...
Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...
Increasing age was identified as a significant independent predictor of inferior alveolar nerve injury after lower third molar extraction. Each additional year of age increased the odds of ...
Objectives Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease where infections ...
A recent study published in the Journal of Psychiatric Research reveals that men who have committed sexually sadistic crimes ...
Background Invasive coronary function testing (CFT) is indicated in patients with refractory angina with non-obstructed ...
Objective This study investigated perinatal depressive symptoms among pregnant and postpartum Filipino women. Design Cross-sectional survey. Setting The Philippines. Participants Participants were ...
Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...
As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...
This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results