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Feasibility pilot of a novel coaching intervention to optimize cannabis use for chronic pain management among Veterans.
J Cannabis Res
January 2025
Anesthesiology Department, University of Michigan Medical School, Ann Arbor, MI, 48105, USA.
Introduction: Chronic pain is common among Veterans, some of whom use cannabis for pain. We conducted a feasibility pilot study of a novel coaching intervention to help Veterans optimize use of medical cannabis products for pain management (NCT06320470).
Methods: The intervention drew from scientific literature, consultation with cannabis experts, Veteran input via a Community Advisory Board, and tenets of motivational interviewing.
The association of state policies and opioid analgesic amount dispensed from retail pharmacies.
Drug Alcohol Depend
February 2025
RAND, Boston, MA, United States. Electronic address:
Importance: States have implemented multiple policies likely to influence opioid prescribing; few national general population studies examine those policies' effects on per-capita opioid morphine milligram equivalents (MME) dispensed.
Objective: To examine state policies' effects on opioids per-capita MMEs dispensed at retail pharmacies.
Design: A longitudinal study of associations between MME per capita and implementation of policy interventions at different times across states.
Aim: To identify predictors and construct a model for predicting left ventricular (LV) ejection fraction (EF) in patients with ST-segment elevation myocardial infarction (STEMI).
Material And Methods: This was a prospective registry study of patients with STEMI admitted within the first 24 hours of the disease onset. Patients were evaluated and treated according to the current clinical guidelines.
Background: Lung cancer is one of the leading causes of death worldwide, with incidence and mortality significantly affected by population ageing and changes in the prevalence of risk factors. Lung nodules, which are often detected incidentally on imaging studies, pose a significant diagnostic challenge as they may indicate both benign and malignant processes. Correct diagnosis and management of these nodules is therefore essential to optimize clinical outcomes.
View Article and Find Full Text PDFThe biomedical applications of artificial intelligence: an overview of decades of research.
J Drug Target
January 2025
Department of Pharmaceutics, Bharat Pharmaceutical Technology, Amtali, Agartala, Tripura, India.
A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attracted significant interest in biomedical research due to its features: (i) better patient care through early diagnosis and detection; (ii) enhanced workflow; (iii) lowering medical errors; (v) lowering medical costs; (vi) reducing morbidity and mortality; (vii) enhancing performance; (viii) enhancing precision; and (ix) time efficiency. Quantitative metrics are crucial for evaluating AI implementations, providing insights, enabling informed decisions, and measuring the impact of AI-driven initiatives, thereby enhancing transparency, accountability, and overall impact.
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