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Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering solutions, emphasizing the selection of privacy enhancing technologies for various healthcare cases. Future solutions must consider dynamic flows of data throughout their lifecycle.
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http://dx.doi.org/10.1038/s41746-025-01520-6 | DOI Listing |
Risk Anal
September 2025
US Army Engineer Research and Development Center, Concord, Massachusetts, USA.
The COVID-19 pandemic has exposed critical gaps in our management of systemic risks within complex, interconnected systems. This review examines 10 key areas where artificial intelligence (AI) and data analytics can significantly enhance pandemic preparedness, response, and recovery. Inadequate early warning systems, insufficient real-time data on resource needs, and the limitations of traditional epidemiological models in capturing complex disease dynamics are among the challenges analyzed.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Community Medicine, Faculty of Health, UiT The Arctic University of Norway, Tromsø, Norway.
Background: The ability to access and evaluate online health information is essential for young adults to manage their physical and mental well-being. With the growing integration of the internet, mobile technology, and social media, young adults (aged 18-30 years) are increasingly turning to digital platforms for health-related content. Despite this trend, there remains a lack of systematic insights into their specific behaviors, preferences, and needs when seeking health information online.
View Article and Find Full Text PDFNeurosurgery
September 2025
Department of Neurosurgery, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
School of Forensic Science, National Forensic Sciences University, Gandhinagar, Gujarat, India.
Ingestible biosensors are a mix of advanced biomedical engineering, digital health and precision pharmacotherapy. These miniaturised electronic devices are encapsulated in biocompatible materials, which operate within gastrointestinal (GI) tract. This enables real-time monitoring of pharmacological and physiological parameters.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
OmnibusXLab, OmnibusX Company Limited, Ho Chi Minh City, Vietnam.
OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters.
View Article and Find Full Text PDF