The National Institute for Health and Clinical Excellence (NICE) shared learning awards are open to everyone who submits information about implementing NICE guidance to its database.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.7748/ns.23.2.22.s30 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Prognostic impact of tumor cell nuclear size assessed by artificial intelligence in esophageal squamous cell carcinoma.
Lab Invest
December 2024
Department of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama 359-8513 Japan.
Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical significance in esophageal squamous cell carcinoma (ESCC) is unknown. Artificial intelligence (AI) can quantitatively evaluate histopathological findings. The aim was to measure NS in ESCC using AI and elucidate its clinical significance.
View Article and Find Full Text PDFTargeting Ubiquitin-Proteasome System (UPS) in Treating Osteoarthritis.
Eur J Pharmacol
December 2024
National Orthopaedic Centre of Excellence in Research and Learning (NOCERAL), Department of Orthopaedic Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
Despite osteoarthritis (OA) being recognised for over a century as a debilitating disease that affects millions, there are huge gaps in our understanding of the underlying pathophysiology that drives this disease. Present day studies that focussed on ubiquitination (Ub) and ubiquitylation-like (Ubl) modification related mechanisms have brought light into the possibility of attenuating OA development by targeting these specific proteins in chondrocytes. In the present review, we discuss recent advances in studies involving Ub ligases and deubiquitinating enzymes (DUBs) which are of importance in the development of OA, and may offer potential therapeutic strategies for OA.
View Article and Find Full Text PDFComparison of Population Pharmacokinetic Modeling and Machine Learning Approaches for Predicting Voriconazole Trough Concentrations in Critically Ill Patients.
Int J Antimicrob Agents
December 2024
Department of Pharmacy, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510163, China. Electronic address:
Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.
View Article and Find Full Text PDFPredicting lack of clinical improvement following varicose vein ablation using machine learning.
J Vasc Surg Venous Lymphat Disord
December 2024
Department of Surgery, University of Toronto, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Canada; Department of Surgery, King Faisal Specialist Hospital and Research Center, Saudi Arabia. Electronic address:
Objective: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LCI) following vein ablation may help guide clinical decision-making but remain limited.
View Article and Find Full Text PDFAdolescents' perceptions, experiences, and reactions to "fake" vaping devices.
Drug Alcohol Depend
December 2024
Center for Tobacco Control Research and Education, University of California San Francisco, 95 Kirkham Street Box 1361, San Francisco, CA 94143, United States.
Unlabelled: Use of electronic cigarette (vaping) devices, whether to inhale nicotine, cannabis, or other substances, may pose health risks to adolescents. Those risks could be heightened when a vaping device is "fake," a term we use to include inauthentic, knockoff, counterfeit, and/or adulterated devices, an issue exemplified by the Electronic Cigarette, or Vaping, Product Use-Associated Lung Injury (EVALI) outbreak of 2019-2020.
Methods: Investigators completed in-depth, semi-structured interviews in 2020-2021 with 47 California adolescents (ages 13-17) who used nicotine products.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!