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1
This report presents a WHO–PREZODE collaboration to develop and validate standardized indicators that assess the risk of zoonotic disease emergence by modeling pathogen circulation in animals and the risk of animal to human zoonotic spillover. The proposed indicators are intended to be actionable,
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i.e., to reflect the impact of the implementation of a prevention strategy along the process of zoonotic pathogen emergence and over time.
more
This tool enables a rapid, systematic review of pharmacy curricula at the national or institutional level to evaluate their robustness in delivering the expected content and competencies. It can also assist institutions in designing strategies to strengthen AMR curricular content, and to facilitate
...
structured, periodic dialogue on AMR and infection-related competencies among pharmacy faculty and other relevant stakeholders. A pharmacy curriculum that comprehensively integrates AMR content will help ensure that future pharmacists have the knowledge, skills, and attitudes needed to address AMR effectively in both clinical practice and public health.
more
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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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.
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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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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.
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A Global Access Framework for Country-Led.
ResponsesThis 2030 Prevention access framework focuses on one of those top-line targets, which covers primary prevention and requires that 90% of people in need of HIV prevention are using effective prevention options by 2030. This target is disaggregated
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into 15 second-line prevention targets for specific populations and programmes.
The 2030 Prevention Access Framework presents in greater detail the milestones and actions for achieving these targets––all of which are grounded in the three priorities of the Global AIDS Strategy: country-led, resilient and sustainable HIV responses; people-focused services, and community leadership
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