Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.zefq.2010.06.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis.
Neural Netw
January 2025
Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 138632, Singapore.
Pre-training and fine-tuning have become popular due to the rich representations embedded in large pre-trained models, which can be leveraged for downstream medical tasks. However, existing methods typically either fine-tune all parameters or only task-specific layers of pre-trained models, overlooking the variability in input medical images. As a result, these approaches may lack efficiency or effectiveness.
View Article and Find Full Text PDFCombining steric exclusion with anion exchange - development of a universal and scalable adeno-associated virus downstream process.
J Chromatogr A
January 2025
Lab Essentials Applications Development, Sartorius Lab Instruments GmbH & Co. KG, Göttingen, Germany.
Adeno-associated viruses (AAV) are among the leading vectors for in vivo gene therapy. The purification of AAV remains a bottleneck as it typically requires multiple individual process steps, often resulting in product loss and high costs. Current downstream processes are usually serotype-specific and rely primarily on expensive affinity resins.
View Article and Find Full Text PDFClinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation.
Sci Rep
January 2025
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound using actionable concepts as feedback to end-users, using a prospective cross-center, multi-level approach. We developed, implemented, and tested a deep-learning model for fetal growth scans using both retrospective and prospective data. We used a modified Progressive Concept Bottleneck Model with pre-established clinical concepts as explanations (feedback on image optimization and presence of anatomical landmarks) as well as segmentations (outlining anatomical landmarks).
View Article and Find Full Text PDFA macro-transection model of brain trauma for neuromaterial testing with functional electrophysiological readouts.
Neural Regen Res
January 2025
School of Medicine, Keele University, Newcastle-under-Lyme, UK.
Functional recovery in penetrating neurological injury is hampered by a lack of clinical regenerative therapies. Biomaterial therapies show promise as medical materials for neural repair through immunomodulation, structural support, and delivery of therapeutic biomolecules. However, a lack of facile and pathology-mimetic models for therapeutic testing is a bottleneck in neural tissue engineering research.
View Article and Find Full Text PDFChanging patterns of treatment and prescribers of stimulants for children, adolescents and young adults with attention deficit hyperactivity disorder in New South Wales, Australia: evidence for a treatment bottleneck? - A database study.
Australas Psychiatry
January 2025
Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.
Objective: Investigate the treatment patterns and prescribers of stimulants for attention deficit hyperactivity disorder (ADHD) in young people in New South Wales (NSW).
Method: Longitudinal cohort study of persons born after 1983 and prescribed stimulants for ADHD as per the NSW Ministry of Health Controlled Drugs Data Collection. Results were analyzed descriptively: a) treatment prevalence by year; age; sex; b) speciality of prescribers over time; c) rate of transition from paediatrics to adult psychiatry.
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!