IntroductionThe implementation of Universal Health Coverage (UHC) in the Philippines requires the formation of Local Government Unit (LGU)-centric Health Care Provider Networks (HCPNs). A cornerstone of this reform is the development of secure, scalable, and interoperable digital health ecosystems. However, significant challenges persist, including fragmented and non-standardized health information systems, siloed data repositories, and limited […]
Correction: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south
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From pilot to policy: why AI health interventions fail to scale in developing countries
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Infectious disease burden and surveillance challenges in Jordan and Palestine: a systematic review and meta-analysis
BackgroundJordan and Palestine face public health challenges due to infectious diseases, with the added detrimental factors of long-term conflict, forced relocation, and lack of resources. Added to these are the increased rates of morbidity and mortality from having limited healthcare services available due to a lack of funding, poor disease surveillance systems, and entrenched systemic […]
Big Pharma earnings kick off; Third-round IRA drugs selected; Hengrui’s trailblazing moment; and more
Welcome back to Endpoints Weekly! Fourth-quarter earnings season is in full swing, and our team covered reports this week from Teva, Roche, Sanofi, Takeda and Regeneron. CMS also unveiled the next 15 drugs subject to …
Multimodal learning for scalable representation of high-dimensional medical data
Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) and genomic sequencing, remains a significant challenge due to the intrinsic heterogeneity of these modalities and the need for scalable and interpretable frameworks. Existing diagnostic […]
Multimodal learning for scalable representation of high-dimensional medical data
Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal data, particularly digital pathology whole slide images (WSIs) and genomic sequencing, remains a significant challenge due to the intrinsic heterogeneity of these modalities and the need for scalable and interpretable frameworks. Existing diagnostic […]
Dopamine shapes brain metastate dynamics
Dopamine’s influence on large-scale network dynamics, especially on the default mode network (DMN), remains uncertain, as fMRI studies have produced mixed results. One likely contributor to these discrepancies is reliance on traditional functional connectivity analyses, which typically derive a single metric (e.g., the Pearson correlation coefficient) from the entire time series and thus fail to […]
Diverging trajectories of trust in healthcare and on-line information seeking: what’s next with LLMs
npj Digital Medicine, Published online: 31 January 2026; doi:10.1038/s41746-026-02408-9 As technology evolves, so does the way people engage with it—especially when it comes to health information. Over the past 25 years, the explosive growth in internet use has been paralleled by an equally rapid increase in individuals seeking health information online. During this same period, […]
Flight rules for clinical AI: lessons from aviation for human-AI collaboration in medicine
npj Digital Medicine, Published online: 31 January 2026; doi:10.1038/s41746-026-02410-1 Flight rules for clinical AI: lessons from aviation for human-AI collaboration in medicine
Challenges in applying the EU AI act research exemptions to contemporary AI research
npj Digital Medicine, Published online: 31 January 2026; doi:10.1038/s41746-025-02263-0 Challenges in applying the EU AI act research exemptions to contemporary AI research
Ten-year population-based assessment of multimorbidity burden progression in a regional cohort of 5.5 million adults
npj Digital Medicine, Published online: 31 January 2026; doi:10.1038/s41746-026-02395-x Ten-year population-based assessment of multimorbidity burden progression in a regional cohort of 5.5 million adults