Artificial Intelligence for Drug Discovery and Environmental Sciences

Addressing global health challenges and environmental threats requires innovative technological solutions.Despite advances in medicine, millions suffer from conditions lacking effective treatments, while antibiotic resistance grows and traditional drug development pipeline remains slow and costly.DeepDrug, our AI-powered drug design pipeline, accelerate therapeutic discovery by efficiently analyzing vast datasets to identify promising compounds.Simultaneously, climate change manifests through increasing natural disasters, pollution, habitat destruction, and agricultural disruption, threatening both human civilization and biodiversity.Our research demonstrates how artificial intelligence can address these dual challenges through advanced data analysis, predictive modeling, and decision support systems.We present applications ranging from drug discovery to environmental monitoring, including understanding satellite imagery, wildfire management, and predicting permafrost changes.

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Publication Details

Journal
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
Published
2025-05-14
DOI
https://doi.org/10.32473/flairs.38.1.139104
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence for Drug Discovery and Environmental Sciences

B A Adam, Supratik Mukhopadhyay, Alvin Chris
Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
Computational Drug Discovery Methods
article

Artificial Intelligence for Drug Discovery and Environmental Sciences

B A Adam, Supratik Mukhopadhyay, Alvin Chris
article en

Abstract

Addressing global health challenges and environmental threats requires innovative technological solutions.Despite advances in medicine, millions suffer from conditions lacking effective treatments, while antibiotic resistance grows and traditional drug development pipeline remains slow and costly.DeepDrug, our AI-powered drug design pipeline, accelerate therapeutic discovery by efficiently analyzing vast datasets to identify promising compounds.Simultaneously, climate change manifests through increasing natural disasters, pollution, habitat destruction, and agricultural disruption, threatening both human civilization and biodiversity.Our research demonstrates how artificial intelligence can address these dual challenges through advanced data analysis, predictive modeling, and decision support systems.We present applications ranging from drug discovery to environmental monitoring, including understanding satellite imagery, wildfire management, and predicting permafrost changes.

Proceedings of the ... International Florida Artificial Intelligence Research Society ConferenceVol. 38
Louisiana State University (US)
Openalex Percentile: Top 84%
Computational Drug Discovery Methods
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