Results 191 to 200 of about 135,269 (316)

Impact of Abdominoperineal Resection on Postoperative Male Sexual Function After Minimally Invasive Rectal Cancer Surgery: A Subgroup Analysis From the LANDMARC Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Abdominoperineal resection (APR) after minimally invasive rectal cancer surgery was associated with significantly higher rates of erectile and early ejaculatory dysfunction compared with anal‐sparing surgery. Although ejaculatory function showed partial recovery over time, erectile dysfunction persisted up to 12 months postoperatively.
Taiki Kajiwara   +14 more
wiley   +1 more source

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

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This multicenter retrospective cohort study compared mid‐term oncological outcomes between intracorporeal anastomosis (IA) and extracorporeal anastomosis (EA) in minimally invasive colectomy for colon cancer using propensity score–matched data from 2018 to 2022.
Takuya Takami   +9 more
wiley   +1 more source

Methods sans sensors control of some parameters and some other electric electrified species mine transport [PDF]

open access: yes, 2014
Chernaja, V.   +9 more
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

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