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Policy Points We can leverage data science and artificial intelligence to inform state and local resource allocation for overdose prevention. Data science and artificial intelligence can help us answer four questions: (1) What is the impact of laws on access to interventions and overdose risk? (2) Where should interventions be targeted? (3) Which types of demographic subgroups benefit the most and the least from interventions? and (4) Which types of interventions should they invest in for each setting and population? Advances in data science and artificial intelligence can accelerate the pace at which we can answer these critical questions and help inform an effective overdose prevention response.
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http://dx.doi.org/10.1111/1468-0009.70025 | DOI Listing |
J Med Screen
September 2025
Institute of Cardiovascular Science, University College London, London, UK.
It is claimed that polygenic risk scores will transform disease prevention, but a typical polygenic risk score for a common disease only detects 11% of affected individuals at a 5% false positive rate. This level of screening performance is not useful. Claims to the contrary are either due to incorrect interpretation of the data or other influences.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla.
Importance: Janus kinase (JAK) inhibitors are highly effective medications for several immune-mediated inflammatory diseases (IMIDs). However, safety concerns have led to regulatory restrictions.
Objective: To compare the risk of adverse events with JAK inhibitors vs tumor necrosis factor (TNF) antagonists in patients with IMIDs in head-to-head comparative effectiveness studies.
Cereb Cortex
August 2025
Section of Brain Function Information, National Institute for Physiological Sciences, 38 Nishigonaka, Myodaiji, Okazaki, Aichi 444-8585, Japan.
This study aimed to identify brain activity modulations associated with different types of visual tracking using advanced functional magnetic resonance imaging techniques developed by the Human Connectome Project (HCP) consortium. Magnetic resonance imaging data were collected from 27 healthy volunteers using a 3-T scanner. During a single run, participants either fixated on a stationary visual target (fixation block) or tracked a smoothly moving or jumping target (smooth or saccadic tracking blocks), alternating across blocks.
View Article and Find Full Text PDFCereb Cortex
August 2025
Research Imaging Institute, University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, San Antonio, TX 78229, United States.
Statistical Parametric Mapping (SPM) adheres to rigorous methodological standards, including: spatial normalization, inter-subject averaging, voxel-wise contrasts, and coordinate reporting. This rigor ensures that a thematically diverse literature is amenable to meta-analysis. BrainMap is a community database (www.
View Article and Find Full Text PDFJ Urban Health
September 2025
School of Architecture and Design, Harbin Institute of Technology, Harbin, 150001, China.
Street-level environments play a vital role in children's development by promoting their physical activity, cognitive growth, and overall development. This study systematically reviews the measurement tools available to assess street environments according to children's needs. This systematic review was conducted according to the PRISMA-COSMIN guidelines.
View Article and Find Full Text PDF