Industrial University of Santander

Electroantennographic and Behavioral Evidence Identifies Carvone and IR3535 as Biting Deterrents Against Rhodnius prolixus (Stål, 1872)

Electroantennography (EAG) is a valuable approach for monitoring insect antennal responses to insecticidal and test compounds and may provide a preliminary screening method for identifying compounds with potential activity against medically important insect vectors. The objective...

Comparative benchmark of machine learning models for predicting perovskite solar cell performance

This study presents a systematic comparative evaluation of five machine learning models, namely Random Forest (RF), Extreme Gradient Boosting (XGB), Artificial Neural Network (ANN), Multilayer Perceptron (MLP), and Support Vector Machine (SVM), for predicting the electrical perfo...

Diagnostic accuracy of artificial intelligence for fracture detection on radiography and computed tomography: A systematic review and meta-analysis of externally validated clinician-comparative studies

Objectives: This systematic review evaluated externally validated, clinician-comparative studies of artificial intelligence (AI)-based fracture detection on conventional radiography and computed tomography (CT) and summarized diagnostic performance by imaging modality. Material a...

Exploratory serum mass spectral fingerprinting and machine learning for case-control classification of preeclampsia

Preeclampsia is a pregnancy-specific hypertensive disorder associated with maternal and perinatal morbidity and mortality and can increase the risk of vascular diseases after pregnancy. However, a timely and unequivocal diagnosis in the first weeks allows access to appropriate me...