During 2018, Heartland virus RNA was detected in an Amblyomma americanum tick removed from a resident of Suffolk County, New York, USA. The person showed seroconversion. Tick surveillance and white-tailed deer (Odocoileus virginianus) serosurveys showed widespread distribution in Suffolk County, emphasizing a need for disease surveillance anywhere A. americanum ticks are established or emerging.
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http://dx.doi.org/10.3201/eid2712.211426 | DOI Listing |
Health Soc Care Deliv Res
December 2024
School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Background: As milder cases of adolescent depression do not meet treatment thresholds for specialist mental health services, young people often receive support from non-qualified professionals in third-sector/voluntary agencies. Early psychological interventions to meet growing demand with limited resources are crucial.
Objectives: The study aimed to explore the effectiveness and cost effectiveness of interpersonal counselling for adolescents by (1) assessing the feasibility and acceptability of trial procedures; (2) exploring the delivery of, and differences between, interpersonal counselling for adolescents and treatment as usual; (3) evaluating the extent of contamination of the control arm and if it should be mitigated against in a future trial; and (4) investigating whether the interval estimate of benefit of interpersonal counselling for adolescents over treatment as usual in depression post treatment includes a clinically significant effect.
Int J Cardiol
February 2025
Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden; Department of Cardiology, Skåne University Hospital, Malmö, Sweden.
Bone Joint J
December 2024
Nottingham University Hospitals NHS Trust, Nottingham, UK.
Cureus
October 2024
Internal Medicine, Wayne State University Detroit Medical Center, Detroit, USA.
Cardiovascular diseases (CVDs) are the major cause of mortality worldwide, emphasizing the critical need for timely and accurate diagnosis. Artificial intelligence (AI) and machine learning (ML) have become revolutionary tools in the healthcare system with significant potential for cardiovascular diagnosis and imaging. AI and ML techniques, including supervised and unsupervised learning, logistic regression, deep learning models, neural networks, and convolutional neural networks (CNNs), have significantly advanced cardiovascular imaging.
View Article and Find Full Text PDFSci Data
September 2024
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794-5000, USA.
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