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Multiomics in cancer biomarker discovery and cancer subtyping.
Adv Clin Chem
January 2025
School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea; Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea; BK21FOUR R&E Center for Learning Health Systems, Korea University, Seoul, Republic of Korea; L-HOPE Program for Community-Based Total Learning Health Systems, Korea University, Seoul, Republic of Korea. Electronic address:
The advent of multiomics has ushered in a new era of cancer research characterized by integrated genomic, transcriptomic and proteomic analysis to unravel the complexities of cancer biology and facilitate the discovery of novel biomarkers. This chapter provides a comprehensive overview of the concept of multiomics, detailing the significant advances in the underlying technologies and their contributions to our understanding of cancer. It delves into the evolution of genomics and transcriptomics, breakthroughs in proteomics, and overarching progress in multiomic methodologies, highlighting their collective impact on cancer biomarker discovery.
View Article and Find Full Text PDF'Entanglement of nursing care': A theoretical proposition to understand the complexity of nursing work and division of labour.
Int J Nurs Stud
January 2025
NIHR Collaboration for Applied Research (Wessex), University of Southampton, Southampton, United Kingdom. Electronic address:
Ongoing challenges in the provision of care, driven by growing care complexity and nursing shortages, prompt us to reconsider the basis for efficient division of nursing labour. In organising nursing work, traditionally the focus has been on identifying nursing tasks that can be delegated to other less expensive and less highly educated staff, in order to make best use of scarce resources. We argue that nursing care activities are connected and intertwined.
View Article and Find Full Text PDFRapid and automated interpretation of CRISPR-Cas13-based lateral flow assay test results using machine learning.
Sens Diagn
December 2024
Department of Bioengineering, Rice University Houston TX 77030 USA
CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.
View Article and Find Full Text PDFPractical tips for starting a successful national postgraduate course.
MedEdPublish (2016)
March 2024
Surgical Sciences, Uppsala Universitet, Uppsala, SE-75185, Sweden.
Background: Few start national courses, and those that do usually do it once. The aim of this paper is to outline an approach to conduct a successful national postgraduate course.
Methods: The practical tips were derived from personal experience.
Infant regulatory problems and the quality of dyadic emotional connection-a proof-of-concept study in a multilingual sample.
Front Child Adolesc Psychiatry
January 2024
Department of Paediatrics I, Neonatology, Paediatric Intensive Care, Paediatric Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Background And Aims: Close autonomic emotional connections with others help infants reach and maintain homoeostasis. In recent years, infant regulatory problems (RPs, i.e.
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