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Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFPiNN: Equivariant Neural Network Suite for Modeling Electrochemical Systems.
J Chem Theory Comput
January 2025
Department of Chemistry-Ångström Laboratory, Uppsala University, Lägerhyddsvägen 1, P.O. Box 538, 75121 Uppsala, Sweden.
Electrochemical energy storage and conversion play increasingly important roles in electrification and sustainable development across the globe. A key challenge therein is to understand, control, and design electrochemical energy materials with atomistic precision. This requires inputs from molecular modeling powered by machine learning (ML) techniques.
View Article and Find Full Text PDFTen-Year Trends in Last Known Well to Arrival Time in Acute Ischemic Stroke Patients: 2014 to 2023.
Stroke
January 2025
Northwell Health, New Hyde Park, NY (N.G.F., M.X.S., J.O.H., S.R.F., J.J.W., J.M.K., P.C.S.).
Background: Many national initiatives focus on promoting early hospital arrival of patients with acute ischemic stroke (AIS) because treatment effectiveness is time-dependent. However, several studies reported time-delays in hospital arrival, especially during the COVID-19 pandemic. Our purpose was to evaluate the 10-year trends in last known well to arrival (LKWA) time and assess disparities in patients with AIS.
View Article and Find Full Text PDFArtificial intelligence, recessionary pressures and population health.
Bull World Health Organ
February 2025
Swiss Academies of Arts and Sciences, Bern, Switzerland.
Economic and labour policies have a considerable influence on health and well-being through direct financial impacts, and by shaping social and physical environments. Strong economies are important for public health investment and employment, yet the rapid rise of generative artificial intelligence (AI) has the potential to reshape economies, presenting challenges beyond mere temporary market disruption. Generative AI can perform non-routine cognitive tasks, previously unattainable though traditional automation, creating new efficiencies.
View Article and Find Full Text PDFSARS-CoV-2 CoCoPUTs: analyzing GISAID and NCBI data to obtain codon statistics, mutations, and free energy over a multiyear period.
Virus Evol
January 2025
Hemostasis Branch 1, Division of Hemostasis, Office of Plasma Protein Therapeutics CMC, Office of Therapeutic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA.
A consistent area of interest since the beginning of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has been the sequence composition of the virus and how it has changed over time. Many resources have been developed for the storage and analysis of SARS-CoV-2 data, such as GISAID (Global Initiative on Sharing All Influenza Data), NCBI, Nextstrain, and outbreak.info.
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