Academic journal peer review lacks disciplinary support due to uneven quality of peer review and inconsistent comments. Based on long-term experience in peer review and professional journal publishing, the authors put forward some suggestions on esta... read more
Virchows Archiv : an international journal of pathology
May 12, 2026
Histopathological grading remains the cornerstone of risk stratification in prostate cancer, yet conventional Gleason-based assessment is limited by interobserver variability and by the biological heterogeneity concealed within Gleason pattern 4. Thi... read more
Understanding why patients with the same diagnosis exhibit markedly different disease progression-some rapidly, others slowly, with distinct symptom patterns-remains a major challenge in medicine. Here, we developed a machine learning framework calle... read more
BACKGROUND: Structural cranial base superimposition is widely regarded as a biologically reliable reference for evaluating orthodontic treatment outcomes. However, its clinical implementation remains limited due to labor-intensive manual procedures a... read more
BACKGROUND: Although generative artificial intelligence (AI) shows promise in healthcare, its diagnostic performance relative to physical therapists (PTs) in musculoskeletal conditions remains largely unknown. Limited research has examined how genera... read more
Leptospirosis is a neglected disease that primarily impacts small islands in the South Pacific region. We compared pathogenic Leptospira concentration in rivers from two contrasting catchments in New Caledonia, a leptospirosis hot spot. The Tho and F... read more
To overcome data scarcity constraints in modeling emerging disinfection byproducts (EDBPs) for resource-limited small water systems, this study introduces a novel framework coupling generative algorithms (GAs) and machine learning algorithms (MLAs). ... read more
BACKGROUND: Characterizing the tumor immune microenvironment (TIME) is essential for understanding anti-tumoral responses in colon cancer. This study introduces TIME Landscaper (TIMEL), a computational framework that uses deep learning to identify ti... read more
BACKGROUND: Non-invasive biomarkers with biological rationale are needed for identifying patients with progressive metabolic dysfunction-associated steatohepatitis (MASH). OBJECTIVE: To test the diagnostic performance of thrombospondin-2 (TSP2), insu... read more
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide, with conventional management often applying standardised approaches that struggle to address individual variability in increasingly complex patient populations. Comp... read more
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