Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

For a technical audience, the phrase that matters is "full stack." Post-quantum signatures have appeared on other networks. What has not shipped before, to the team's knowledge, is a live mainnet ...

Abstract: In complex industrial manufacturing processes, various defects may occur in products because of the poor quality of the equipment, materials, and human factors. These defects may lead to ...

Abstract: This paper presents a framework called localized support vector machine (LSVM) for classifying data with nonlinear decision surfaces. Instead of building a sophisticated global model from ...

Pulmonary embolism accounts for 10–15% of all paediatric venous thromboembolism (VTE) events, with an annual incidence of 0·14–0·9 per 100 000 children.1,2 Although rare, pulmonary embolism is a ...

Perioperative anemia and red blood cell transfusions are important risk factors for morbidity and mortality in cardiac ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...

Comparative Analysis of Data Mining algorithms (KNN, Naive Bayes, SVM) for Diabetes prediction. Features an 88% accuracy SVM model deployed as a Clinical Decision Support System. - Muhamad-Shahan/D ...

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