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Aug 2026

A computational and in silico study of machine learning-assisted design of boron and selenium compounds against Alzheimer's disease targets

Alzheimer's disease (AD) is the most common neurodegenerative disease worldwide with over 55 million people affected and projected to reach more than 130 million by 2050. Although substantial research is underway, FDA approved therapies are palliative only. In this work, we employed machine learning (ML) algorithms, in...

D. Negi, Meenu Chaudhary, A. Badola · 0 citations
Review Sep 2026

A review on mechanistic insights into heavy metal removal in constructed wetlands: roles of plants, microbes, and substrates

The image shows different sources of HMs from the ecosystem, and its subsequent treatment using CWs incorporating different substrates, microbial communities and macrophytes. The treated water can then be sustainably utilized for agricultural applications, recycling, and reuse. Heavy metals (HMs) are persistent in n...

Divyani Kumari, D. Negi, A. Daverey et al. · 0 citations

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