Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1161/CIRCULATIONAHA.123.064318 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Very Early Health Technology Assessment for Potential Predictive Biomarkers in the Treatment of Advanced Non-Small Cell Lung Cancer.
Pharmacoecon Open
January 2025
Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Objectives: Immune checkpoint inhibitor (ICI)-containing treatment is currently prescribed as first-line treatment for all patients with advanced non-small cell lung cancer (NSCLC) without targetable driver mutations. However, only 30-45% of patients show no progression within 12 months after treatment start. Various biomarkers are being studied to save costly and potentially harmful treatment in non-responders.
View Article and Find Full Text PDFOne state's journey with a reflective supervision professional development series: Development, implementation, and adaptation.
Infant Ment Health J
January 2025
Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Reflective supervision (RS) has been viewed as best practice and is therefore incorporated-and often mandated-as a key feature of many relationship-based infant and early childhood serving programs. To promote the implementation of high-quality RS for infant and early childhood professionals, it is critical that a focus is placed on how infant and early childhood professionals are trained to build RS capacities. To this end, we describe Rhode Island, United States's journey developing, implementing, and iteratively adapting an RS professional development series.
View Article and Find Full Text PDFDigital Home-Based Self-Monitoring System for People with Heart Failure: Protocol for Development of SmartHeart and Evaluation of Feasibility and Acceptability.
JMIR Res Protoc
January 2025
School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University, Burwood, Australia.
Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.
View Article and Find Full Text PDFUser and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study.
JMIR Cancer
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.
View Article and Find Full Text PDFPredicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease.
Ann Rheum Dis
January 2025
Department of Surgery, University of Cambridge, Cambridge, UK.
Objectives: To facilitate the stratification of patients with osteoarthritis (OA) for new treatment development and clinical trial recruitment, we created an automated machine learning (autoML) tool predicting the rapid progression of knee OA over a 2-year period.
Methods: We developed autoML models integrating clinical, biochemical, X-ray and MRI data. Using two data sets within the OA Initiative-the Foundation for the National Institutes of Health OA Biomarker Consortium for training and hold-out validation, and the Pivotal Osteoarthritis Initiative MRI Analyses study for external validation-we employed two distinct definitions of clinical outcomes: Multiclass (categorising OA progression into pain and/or radiographic) and binary.
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!