AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world

Journal of Global Health, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 10, 2025

The emergence of artificial intelligence (AI) in drug discovery represents a transformative development addressing neglected diseases, particularly the context developing world. Neglected often overlooked by traditional pharmaceutical research due to limited commercial profitability, pose significant public health challenges low- and middle-income countries. AI-powered offers promising solution accelerating identification potential candidates, optimising process, reducing time cost associated with bringing new treatments market. However, while AI shows promise, many its applications are still their early stages require human validation ensure accuracy reliability predictions. Additionally, models availability high-quality data, which is sparse regions where diseases most prevalent. This viewpoint explores application for examining current impact, related ethical considerations, broader implications It also highlights opportunities presented this context, emphasising need ongoing research, oversight, collaboration between stakeholders fully realise transforming global outcomes.

Language: Английский

Protocol for implementing the nested model for AI design and validation in compliance with AI regulations

STAR Protocols, Journal Year: 2025, Volume and Issue: 6(2), P. 103771 - 103771

Published: April 11, 2025

Language: Английский

The Way Forward to Embrace Artificial Intelligence in Public Health

American Journal of Public Health, Journal Year: 2024, Volume and Issue: unknown, P. e1 - e6

Published: Nov. 21, 2024

Language: Английский