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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
...
th care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
more
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
...
alth care. It examines national strategies, governance models, legal and ethical frameworks, workforce readiness, data governance, stakeholder engagement, private sector roles and the uptake of AI applications. Drawing on insights from 50 Member States, the report explores how countries are navigating opportunities and challenges, highlighting emerging trends, gaps and practices to guide policy-makers towards coherent, ethical and people-centred approaches to AI in health care.
more
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
...
onments. This scoping review explores UAV applications in humanitarian contexts, emphasizing their advantages, limitations, and barriers to adoption
more
Front. Artif. Intell., 02 July 2025 Sec. Medicine and Public Health
Volume 8 - 2025 | https://doi.org/10.3389/frai.2025.1627773
Nature . 2025 Feb;638(8051):623-635.doi: 10.1038/s41586-024-08564-w. Epub 2025 Feb 19.
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making
...
in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology
more
Disaster losses are rising, and the stakes are high for reducing risk. Artificial intelligence (AI) promises new ways to spot danger sooner, coordinate relief more quickly, and save lives and property. But AI doesn't just drop neatly into a command center. To matter in practice, it must be shaped to
...
the messy realities of emergency management—and wrestle with the thorny questions that haunt every new technology: Who gets to use it? When should it replace traditional methods? And who makes sure it doesn't go off the rails?
more
Front Public Health . 2025 Jun 23:13:1609615. doi: 10.3389/fpubh.2025.1609615. eCollection 2025.
Key findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climat
...
e, wastewater). The major benefits identified include earlier outbreak detection and improved prediction accuracy. However, significant challenges persist regarding data quality and bias, model transparency (the "black box" issue), system integration difficulties, and ethical considerations such as privacy and equity.
more
A new study confirms that Zipline’s autonomous drone logistics system isn’t just saving lives and preventing disease—it's the most cost-effective public health intervention aimed at increasing immunization.
Flood mapping in urban areas poses significant challenges for Synthetic Aperture Radar (SAR) sensors due to limitations in detecting water in regions characterized by dense vegetation, urban infrastructure, or complex surface conditions. These limitations include reduced sensitivity in vegetated or
...
built-up areas and water-like backscatter effects on smooth, dry, or snow-covered surfaces. The Global Flood Monitoring (GFM) platform employs Sentinel-1 SAR backscatter data for automated flood delineation but recognizes the constraints posed by such conditions. To address these challenges, the GFM has integrated an exclusion mask that highlights regions prone to SAR-based misclassification.
more
The Gulf CDC Technical Guide for Rapid Risk Assessments of Acute Public Health Events provides a structured, multi-sectoral approach to evaluate and manage public health threats in Gulf Cooperation Council (GCC) countries. It focuses on rapid, evidence-based assessments (within 2-5 days) to determin
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e risk levels, propose control measures, and guide communications
more
Risk Assessment Reports
The present ‘Guideline for the assessment of health risks’ serves
to implement the theoretical principles mentioned in practice and,
therefore, assure the quality of risk assessments and other health
statements published by the BfR
Natural Hazards, Vol.121 (2025): 15091-15108
Medical evacuation in emergencies
recommended
A guidance for medical teams and specialized care teams.
This guidance aims to provide a comprehensive framework for the safe and context-adapted coordination, clinical care, operations support and logistics relevant to governments, national authorities, including ministries of health, civil protec
...
tion and civil defence, national and international Emergency Medical Teams (EMTs), nongovernmental organizations (NGOs), Emergency Medical Services (EMS) and other key stakeholders operating in the medevac space, or wishing to build this kind of capacity. It defines minimum standards and recommendations for the development and classification of respective specialized care teams (SCTs). This is particularly relevant for contexts without pre-existing or functional prehospital or medevac systems, and can support country-level capacity building, regional and sub-regional planning, and the development of SCTs.
more
Recognizing this need and the role of NPHIs in ensuring health security across the continent, the Africa CDC has prioritized the strengthening of NPHIs as a critical pillar of both the New Public Health Order and the Africa CDC Strategic Plan 2023-2027. To aid the realization of this goal, the Afric
...
a CDC has developed a Plan for the Development of National Public Health Institutes in Africa 2025-2027. The goal is to ensure that NPHIs are not only present in every Member State but are also empowered with the necessary legal frameworks, resources and expertise to effectively lead Africa’s health security efforts.
more
L'objectif est de veiller à ce que les IPNS soient non seulement présents dans chaque État membre, mais qu'ils disposent également des cadres juridiques, des ressources et de l'expertise r à la réalisation de cet objectif, l'Africa CDC a élaboré un Plan de développement des instituts nation
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aux de santé publique en Afrique 2025-2027. L'objectif nécessaires pour mener efficacement les efforts de sécurité sanitaire en Afrique.
more
Hand hygiene is a simple yet powerful tool in interrupting the transmission of the monkeypox virus (MPXV) and other infectious disease both in healthcare facilities and communities. However millions still lack access to basic hygiene services particularly in vulnerable and resource limited settings.
...
Governments must urgently ensure universal access to functioning hand hygiene stations in public and healthcare facilities, promote correct hand hygiene practices, and integrate hand hygiene into national polices and response strategies, to contain mpox. There is a need for multimodal approach- combining political leadership, availability of supplies, evidence based behavioral change strategies and strengthened healthcare practices is critical.
more
Resource Website
WHO Essential Regulatory Laboratories (ERLs), inside the Global Influenza Surveillance and Response System (GISRS), are a crucial element of influenza prevention and control, especially vaccine response.
The main objectives of ERLI-Net are to carry out virological surveillance of human influenza and to ensure that data are shared through the European Influenza Surveillance Network (EISN) reporting mechanisms in a timely manner.
