AIMC Topic: Neglected Diseases
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AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world.
Journal of global health
Jan 10, 2025
The emergence of artificial intelligence (AI) in drug discovery represents a transformative development in addressing neglected diseases, particularly in the context of the developing world. Neglected diseases, often overlooked by traditional pharmac...
Harnessing artificial intelligence microscopy to improve diagnostics for soil-transmitted helminthiasis and schistosomiasis: a review of recent advances and future pathways.
Current opinion in infectious diseases
Aug 2, 2024
PURPOSE OF REVIEW: This opinion piece aims to explore the transformative potential of integrating artificial intelligence with digital microscopy to enhance diagnostics for soil-transmitted helminthiasis (STH) and schistosomiasis (SCH), two pervasive...
ChatGPT does not neglect a neglected disease, if appropriately prompted.
The Lancet. Infectious diseases
Jan 16, 2024
Deep learning for AI-based diagnosis of skin-related neglected tropical diseases: A pilot study.
PLoS neglected tropical diseases
Aug 14, 2023
BACKGROUND: Deep learning, which is a part of a broader concept of artificial intelligence (AI) and/or machine learning has achieved remarkable success in vision tasks. While there is growing interest in the use of this technology in diagnostic suppo...
Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review.
Frontiers in public health
Jun 3, 2022
Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health challenges for countries around the world. The arboviruses' dynamics are governed ...
Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications.
Bulletin of the World Health Organization
Mar 3, 2020
Artificial Neural Network Methods Applied to Drug Discovery for Neglected Diseases.
Combinatorial chemistry & high throughput screening
Jan 1, 2015
Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar to the human brain, to be quite powerful. Some ANN applications use biological and molecular data of ...
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