Results 161 to 170 of about 66,369 (329)

Enhancing cybersecurity via attribute reduction with deep learning model for false data injection attack recognition. [PDF]

open access: yesSci Rep
Alrslani FAF   +6 more
europepmc   +1 more source

Exercise‐specific plasma proteomic signatures in racehorses: Candidates for training adaptation and peak load monitoring

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka   +4 more
wiley   +1 more source

Toxicological Evaluation of the Undesirable Components in Processed Infant Foods Using Artificial Intelligence

open access: yesFuture Postharvest and Food, EarlyView.
The detection of toxins in baby food using artificial intelligence. ABSTRACT Infant foods and baby formulas are becoming increasingly popular across the globe owing to their ease of consumption and nutritional value specific to infants. Impurities may find their way into the food chain at any point from the acquisition of raw materials to final ...
Poornima Singh   +3 more
wiley   +1 more source

A first‐trimester mechanistic framework integrating three Physiopathologic biomarker domains for pre‐eclampsia classification

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To develop and internally validate a mechanistic, three‐domain framework for early classification and prediction of pre‐eclampsia (PE) using first‐trimester angiogenic, uteroplacental, and maternal vascular biomarkers. Methods In a prospective cohort of 1925 singleton pregnancies screened at 11 to 13.6 weeks, placental growth factor (
Johnatan Torres‐Torres   +8 more
wiley   +1 more source

Second‐trimester multimetabolite panel for early preeclampsia rule‐out

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective We aimed to establish a high‐sensitivity, multimetabolite rule‐out model for the development of preeclampsia (PE), prioritizing minimizing false negatives to exclude low‐risk individuals from intensive surveillance confidently. Methods In this prospective, nested case–control study, maternal serum samples were collected between 20+0 ...
Matthews Silva Martins   +7 more
wiley   +1 more source

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