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Clin Lung Cancer
December 2024
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD.
Objective: To determine the association between concurrent statin use with immune checkpoint inhibitors (ICIs) and lung cancer-specific and overall mortality in patients with nonsmall cell lung cancer (NSCLC).
Materials And Methods: SEER-Medicare was used to conduct a retrospective study of Medicare beneficiaries ≥65 years of age diagnosed with NSCLC between 2007 and 2017 treated with an ICI. Patients were followed from date of first ICI claim until death, 1 month from last ICI claim, or 12/31/2018, whichever came first.
ISA Trans
December 2024
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK. Electronic address:
As artificial intelligence advances and demand for cost-effective equipment maintenance in various fields increases, it is worth insightful research on utilizing robots embedded with sound source localization (SSL) technology for condition monitoring. Combining the two techniques has significant advantages, which are conducive to further classifying and tracking abnormal sources, thereby enhancing system performance at a lower cost. The paper provides an overview of current acoustic-based robotic techniques for condition monitoring, highlights the common SSL methods, and finds that localization performance heavily depends on signal quality.
View Article and Find Full Text PDFTrends Microbiol
January 2025
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton School of Public and International Affairs, Princeton University, Princeton, NJ, USA.
Serological studies uniquely strengthen infectious disease surveillance, expanding prevalence estimates to encompass asymptomatic infections, and revealing the otherwise inapparent landscape of immunity, including who is and is not susceptible to infection. They are thus a powerful complement to often incomplete epidemiological and public health measures (administrative measures of vaccination coverage, incidence estimates, etc.).
View Article and Find Full Text PDFJ Voice
January 2025
Department of Surgery, UMONS Research Institute for Health Sciences and Technology, University of Mons (UMons), Mons, Belgium; Division of Laryngology and Bronchoesophagology, Department of Otolaryngology Head Neck Surgery, EpiCURA Hospital, Baudour, Belgium; Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, UFR Simone Veil, Université Versailles Saint-Quentin-en-Yvelines (Paris Saclay University), Paris, France; Department of Otolaryngology, Elsan Hospital, Paris, France. Electronic address:
Background: Voice analysis has emerged as a potential biomarker for mood state detection and monitoring in bipolar disorder (BD). The systematic review aimed to summarize the evidence for voice analysis applications in BD, examining (1) the predictive validity of voice quality outcomes for mood state detection, and (2) the correlation between voice parameters and clinical symptom scales.
Methods: A PubMed, Scopus, and Cochrane Library search was carried out by two investigators for publications investigating voice quality in BD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements.
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.
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