Results 161 to 170 of about 581,169 (264)

Comparison of Minimally Invasive Colectomy Between Intra‐ Versus Extra‐Corporeal Anastomosis Technique (COMMIT Study): Short‐Term Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This multicenter propensity score‐matched study of 3213 patients compared intracorporeal (IA) and extracorporeal (EA) anastomosis during minimally invasive colectomy. IA was associated with a significantly lower incidence of intraoperative blood loss ≥ 200 mL (2.5% vs.
Takuya Takami   +9 more
wiley   +1 more source

Radical Resection of the Third Portion of the Duodenum for Secondary Aortoduodenal Fistula

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Secondary aortoduodenal fistula most commonly involves the third portion of the duodenum and requires definitive management of both vascular and gastrointestinal components. We demonstrate a step‐by‐step technique for radical duodenal resection and reconstruction performed in structured collaboration with cardiovascular surgeons.
Koji Kubota   +4 more
wiley   +1 more source

Pulmonary Infections

open access: yes, 2010
Richard L. Kradin, Eugene J. Mark
openaire   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

The Brief Case: Postoperative pulmonary infection caused by <i>Bordetella hinzii</i>. [PDF]

open access: yesJ Clin Microbiol
Zhou J   +7 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

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