Results 191 to 200 of about 356,082 (291)

Risks and Benefits of Feeding Enterostomy Creation During Minimally Invasive Esophagectomy: A Propensity‐Weighted Analysis Using the Japanese National Clinical Database

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Feeding enterostomy during MIE was evaluated in 19 054 patients from the Japanese NCD using propensity weighting. Enterostomy was associated with higher reoperation and respiratory complications, but lower delayed gastric emptying and deep vein thrombosis, with no significant difference in overall bowel obstruction.
Eisuke Booka   +7 more
wiley   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males   +8 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Ventral Rectopexy: An International Expert Panel Consensus and Review of Contemporary Literature. [PDF]

open access: yesDis Colon Rectum
Perry WRG   +11 more
europepmc   +1 more source

Worlding CompLit: Diffractive Reading with Barad, Glissant and Nancy

open access: yes, 2014
LS Algemene Literatuurwetenschap   +2 more
core   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

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