Results 181 to 190 of about 2,612,900 (301)

Building the future of public health intelligence: updates from the fifth Epidemic Intelligence from Open Sources (EIOS) Global Technical Meeting (GTM) convened by WHO

open access: yesBMC Proceedings
Raquel Medialdea Carrera   +7 more
doaj   +1 more source

Call to Duty: US Military Plastic Surgery Response to the Coronavirus Disease 2019 Pandemic

open access: yesPlastic and Reconstructive Surgery, Global Open, 2020
Scott Farber, MD   +2 more
doaj   +1 more source

Maternal internalizing symptoms as a mechanism linking pre- and postnatal COVID-19 pandemic exposure with preschool-aged children's neurodevelopment. [PDF]

open access: yesArch Womens Ment Health
Finegold KE   +10 more
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken   +4 more
wiley   +1 more source

Pandemic Influenza

open access: yesAmerican Journal of Public Health and the Nations Health, 1955
openaire   +3 more sources

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova   +4 more
wiley   +1 more source

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