Results 91 to 100 of about 74,936 (290)

Unifying Scaling Relations and Multiple Reaction Mechanisms for Screening Transition Metal‐Doped Co3O4 for Oxygen Evolution Reaction

open access: yesAngewandte Chemie, EarlyView.
Doped Co3O4 climbs a mechanistic volcano: transition‐metal substitution reshapes the OER activity landscape, while multiple competing reaction mechanisms govern the volcano trends across different dopants. ABSTRACT Accelerating the discovery of oxygen‐evolution reaction (OER) catalysts requires high‐throughput screening strategies combining descriptor ...
Kapil Dhaka   +7 more
wiley   +2 more sources

2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor

open access: yesBMC Bioinformatics, 2020
Background Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been machine learning-based models to predict androgen receptor agonist activity.
Myeong-Sang Yu   +3 more
doaj   +1 more source

Large‐Scale Quantitative Morphometry of Platelet α‐Granules via SIM Super‐Resolution Microscopy for Cancer Liquid Biopsy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Blood‐based liquid biopsies hold transformative potential for non‐invasive cancer management, but current approaches relying on rare circulating tumor components limit their broad clinical utility. Platelets, abundant in blood and mediating diverse cancer‐associated responses, represent a compelling yet largely unexplored alternative.
Yan Ma   +28 more
wiley   +1 more source

Prognostic Value of Psoas Major Muscle Volume in Assessing Sarcopenia in Elderly Patients With Rectal Cancer

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study investigates the prognostic utility of a novel volumetric indicator—psoas volume index (PVI)—for assessing sarcopenia in elderly rectal cancer patients. Sarcopenia classified by our proposed PVI cut‐off values was associated with poor nutritional and inflammatory status, and patients with low PVI showed significantly worse long‐term outcomes.
Gen Tsujio   +8 more
wiley   +1 more source

Artificial Intelligence Models for Predicting Ground Vibrations in Deep Underground Mines to Ensure the Safety of Their Surroundings

open access: yesApplied Sciences
Ground vibrations induced by underground mining blasting has a significant impact on the stability and safety of surface buildings near mines. Due to the thick rock layers overlying underground mines, there is presently limited accuracy in regard to ...
Yunbo Tao   +4 more
doaj   +1 more source

A Machine Learning Model for Predicting Posthepatectomy Liver Failure After Hepatectomy With Extrahepatic Bile Duct Resection for Perihilar Cholangiocarcinoma: With and Without Indocyanine Green

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Using machine learning‐based decision tree models, patients with perihilar cholangiocarcinoma undergoing major hepatectomy with extrahepatic bile duct resection were stratified according to the risk of posthepatectomy liver failure. Separate models were developed with and without indocyanine green data, enabling clinically interpretable preoperative ...
Yuki Homma   +11 more
wiley   +1 more source

PhageWeb – Web Interface for Rapid Identification and Characterization of Prophages in Bacterial Genomes

open access: yesFrontiers in Genetics, 2018
This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering.
Ailton Lopes de Sousa   +9 more
doaj   +1 more source

DUNet: A deformable network for retinal vessel segmentation

open access: yes, 2018
Automatic segmentation of retinal vessels in fundus images plays an important role in the diagnosis of some diseases such as diabetes and hypertension. In this paper, we propose Deformable U-Net (DUNet), which exploits the retinal vessels' local features
Chen, Qi   +5 more
core   +1 more source

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama   +4 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

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