Results 231 to 240 of about 577,051 (308)

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura   +9 more
wiley   +1 more source

Outcomes of End Stage Renal Disease in Patients With Infective Endocarditis: A Nationwide Population-Based Study. [PDF]

open access: yesJ Am Heart Assoc
Hung HC   +9 more
europepmc   +1 more source

“Intrapericardial Approach” for Venous Outflow Reconstruction in Living‐Donor Liver Transplantation for Budd‐Chiari Syndrome: Surgical Techniques and LongTerm Outcomes

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata   +4 more
wiley   +1 more source

Anticoagulation in Patients with End-Stage Renal Disease: A Critical Review. [PDF]

open access: yesHealthcare (Basel)
Parul F   +12 more
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

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