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Open access Sep 2026

From El Niño forecasts to proportionate public health action: a forecast-to-action framework for climate-related health risks

El Niño creates an important opportunity for anticipatory public health action because its development can often be detected before many downstream hazards emerge. Yet predictability does not transfer uniformly from the large-scale El Niño Southern Oscillation (ENSO) signal to regional climate anomalies and ultimately...

L. Bajrai, E. Azhar · 0 citations
Open access Sep 2026

Anti-HIV Potential of Origanum vulgare Compounds Targeting Viral Reverse Transcriptase with High Binding and Stability Validated by Machine Learning

Computational analyses have ranked four compounds as HIV-RT inhibitors that need further experimental verification and Machine learning-based quantitative structure–activity relationship (QSAR) prediction of experimentally validated HIV-RT inhibitors was applied to predict inhibitory potency.

L. Bajrai, R. Ghazali · 0 citations

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