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The webpage presents a case study on the use of artificial intelligence (AI) in global early warning systems as part of the United Nations’ “Early Warnings for All” (EW4All) initiative. The initiative aims to ensure that everyone worldwide is protected by effective early warning systems for na
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The Guardian article reports that Google DeepMind has developed an artificial intelligence model capable of predicting weather more accurately than one of the world’s leading traditional forecasting systems. The AI system, trained on large amounts of historical weather data, can generate faster an
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The webpage presents WeatherNext 2, an advanced AI-based weather forecasting model developed by Google DeepMind. It explains how the system uses machine learning to analyze large amounts of atmospheric data and produce fast and accurate weather predictions. The model is designed to improve forecasti
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Procedia Computer Science 278 (2026) 1170–1177
WeRobotics aims to decentralise power and knowledge in the technology sector. Instead of sending external actors to crisis regions, the organisation builds up local expertise. Its ‘Flying Labs’ in Asia, Africa, Latin America and the Middle East are autonomous partner organisations that use drone
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J Glob Health. 2025;15:04192. This scoping review highlights the potential of AI-driven predictions in national TB programmes to enhance diagnostics, track trends, and strengthen public health surveillance. While promising for reducing transmission and support-
ing TB care in low-resource settings,
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A comprehensive guide to integrating drones into medical supply chains, taking into account cost and effectiveness
This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in heal
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TArtificial intelligence (AI) is transforming health systems, reshaping how care is planned, delivered and governed. This report presents the first assessment of AI integration into health systems across the whole of the WHO European Region, based on findings from the 2024–2025 survey on AI for he
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Studies in Health Technology and Informatics Ebook Volume 329: MEDINFO 2025 — Healthcare Smart × Medicine Deep
Drones, or unmanned aerial vehicles (UAVs), are transforming humanitarian operations by providing solutions for disaster relief, medical logistics, and aid delivery in challenging envir
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The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve public health systems across Africa, particularly in low-resource settings. It explores how machine learning and other AI techniques
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The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’
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Front. Public Health 10:876949. doi: 10.3389/fpubh.2022.876949.In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyzed using a tuberculosis (TB) therapy program at a health institution in a main
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Rwanda’s mountainous topography makes ground transportation of medical supplies unreliable — some roads stretching into rural areas remain uncared for and unpaved. Between 25 and 40 per cent of all temperature-sensitive medical supplies sent from urban centres to rural health clinics are wasted
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VillageReach recommended
the drone company Swoop Aero to the civil aviation authority in DRC. In
summer 2019, Swoop Aero conducted a series of test and demonstration
drone flights to deliver vaccines, syringes, medicines and other supplies from
Mbandaka town to the village of Widjifake, which is
...
