Results 151 to 160 of about 318,956 (283)

Incidence of fistulas following human pancreas transplantation [PDF]

open access: yes, 1987
Abendroth, D.   +3 more
core   +1 more source

Nanozymes for Liver Disease Therapy: Advances in Catalytic Activity, Targeting Strategies, and Clinical Translation

open access: yesAdvanced Science, EarlyView.
Nanozymes, as enzyme‐mimicking nanomaterials, exhibit unique catalytic properties for the treatment of liver diseases. By regulating redox homeostasis, modulating immune responses, and enabling targeted delivery, nanozymes overcome the limitations of natural enzymes.
Xiandi Meng   +6 more
wiley   +1 more source

Congophilic fibrillary glomerulonephritis recurrence post-renal transplant: diagnostic challenges and proteomic insights. [PDF]

open access: yesCEN Case Rep
Watanabe H   +7 more
europepmc   +1 more source

Preoperative Aortic Calcification Volume Predicts Postoperative Complications in Nonpancreatic Cancer Patients Undergoing Pancreaticoduodenectomy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi   +9 more
wiley   +1 more source

Renal and Cardiovascular Outcomes in Renal Transplant Candidates According to Coronary Status. [PDF]

open access: yesJ Am Heart Assoc
Giovachini L   +16 more
europepmc   +1 more source

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

Nationwide Real‐World Modeling of Surgical Outcomes in Elderly Patients: Incorporating Geriatric‐Specific Risk Factors Into Prediction of Mortality and Morbidity

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
A reliable and effective risk prediction model for mortality and morbidity in elderly patients undergoing gastroenterological surgeries was developed and validated. Geriatric‐specific risk factors, including the newly added variables in the NCD registry, along with age, were identified as significant contributors to the model. ABSTRACT Aim As the aging
Naoya Sato   +11 more
wiley   +1 more source

It never rains but pours: disseminated nocardiosis in a renal transplant patient from Nigeria - a case report. [PDF]

open access: yesBMC Infect Dis
Whitehead T   +12 more
europepmc   +1 more source

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