Introduction: The Comparative Outcomes Management with Electronic Data Technology (COMET) platform is extensible and designed for facilitating multicenter electronic clinical research.
Background: Our research goals were the following: (1) to conduct a comparative effectiveness trial (CET) for two obstructive sleep apnea treatments-positive airway pressure versus oral appliance therapy; and (2) to establish a new electronic network infrastructure that would support this study and other clinical research studies.
Discussion: The COMET platform was created to satisfy the needs of CET with a focus on creating a platform that provides comprehensive toolsets, multisite collaboration, and end-to-end data management. The platform also provides medical researchers the ability to visualize and interpret data using business intelligence (BI) tools.
Conclusion: COMET is a research platform that is scalable and extensible, and which, in a future version, can accommodate big data sets and enable efficient and effective research across multiple studies and medical specialties. The COMET platform components were designed for an eventual move to a cloud computing infrastructure that enhances sustainability, overall cost effectiveness, and return on investment.
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http://dx.doi.org/10.13063/2327-9214.1059 | DOI Listing |
Exp Hematol Oncol
January 2025
Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Background: Radiotherapy is the primary treatment modality for most head and neck cancers (HNCs). Despite the addition of chemotherapy to radiotherapy to enhance its tumoricidal effects, almost a third of HNC patients suffer from locoregional relapses. Salvage therapy options for such recurrences are limited and often suboptimal, partly owing to divergent tumor and microenvironmental factors underpinning radioresistance.
View Article and Find Full Text PDFCurr Opin Gastroenterol
January 2025
Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, European Reference Network on Hepatological Diseases (ERN Rare-Liver), Saint-Antoine Hospital, Assistance Publique - Hôpitaux de Paris; Sorbonne University, INSERM, Saint-Antoine Research Center (CRSA).
Purpose Of Review: Low phospholipid-associated cholelithiasis (LPAC) syndrome is a rare genetic form of intrahepatic cholesterol lithiasis, affecting mainly young adults. This review describes the recent advances in genetic and clinical characterization, diagnosis and management of LPAC syndrome.
Recent Findings: Recent publications report data from several retrospective cohorts.
Hum Reprod
January 2025
Research Center of Clinical Epidemiology, Peking University Third Hospital, Haidian District, Beijing, China.
Study Question: Do the infertility core outcome set and standardized definitions affect the outcome selection for randomized controlled trials, and what aspects should be further improved in the future?
Summary Answer: Intrauterine pregnancy demonstrated the highest uptake level, whereas others were low, especially in neonatal outcomes; as time progresses, the target sample size increases, and with prospective registration, the consistency between outcomes reported in registrations and infertility core outcome set improves significantly.
What Is Known Already: The infertility core outcome set, published on 30 November 2020, aims to standardize outcome reporting and prevent selective reporting bias; however, there is a paucity of research evaluating its actual adoption, which is crucial for the timely promotion of transparency, standardization, adjustment of development strategies, and efficient resource utilization.
Study Design, Size, Duration: This cross-sectional study included 1673 eligible randomized controlled trial registrations for infertility in 18 registries from March 2004 to July 2024 based on registry entries.
Commun Biol
November 2024
SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden.
bioRxiv
October 2024
Department of Urology, University of California, San Francisco, CA 94158, USA.
Understanding how human gene expression is coordinately regulated by functional units of proteins across the genome remains a major biological goal. Here, we present COMET, a high-throughput screening platform for combinatorial effector targeting for the identification of transcriptional modulators. We generate libraries of combinatorial dCas9-based fusion proteins, containing two to six effector domains, allowing us to systematically investigate more than 110,000 combinations of effector proteins at endogenous human loci for their influence on transcription.
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