keyword
https://read.qxmd.com/read/38508231/best-practices-for-managing-and-disseminating-resources-and-outreach-and-evaluating-the-impact-of-the-idg-consortium
#21
REVIEW
Dušica Vidović, Anna Waller, Jayme Holmes, Larry A Sklar, Stephan C Schürer
The Illuminating the Druggable Genome (IDG) consortium generated reagents, biological model systems, data, informatic databases, and computational tools. The Resource Dissemination and Outreach Center (RDOC) played a central administrative role, organized internal meetings, fostered collaboration, and coordinated consortium-wide efforts. The RDOC developed and deployed a Resource Management System (RMS) to enable efficient workflows for collecting, accessing, validating, registering, and publishing resource metadata...
March 18, 2024: Drug Discovery Today
https://read.qxmd.com/read/38506537/ultrasound-derived-fat-fraction-for-hepatic-steatosis-assessment-prospective-study-of-agreement-with-mri-pdff-and-sources-of-variability-in-a-heterogeneous-population
#22
JOURNAL ARTICLE
Reinhard Kubale, Guenther Schneider, Carl Paul Nicolas Lessenich, Arno Buecker, Sebastian Wassenberg, Gabriela Torres, Arati Gurung, Timothy Hall, Yassin Labyed
Background: Metabolic dysfunction-associated steatotic liver disease is a growing global public health concern. Quantitative ultrasound measurements, such as ultrasound-derived fat fraction (UDFF), could provide noninvasive, cost-effective, and portable steatosis evaluation. Objective: To evaluate utility of UDFF for steatosis assessment using PDFF as reference in patients undergoing liver MRI for heterogeneous indications, and to assess UDFF variability. Methods: This prospective study included a primary analysis of 187 patients (mean age, 53...
March 20, 2024: AJR. American Journal of Roentgenology
https://read.qxmd.com/read/38505280/scoping-review-of-data-privacy-risks-in-covid-19-apps-with-digital-vaccination-certifications
#23
REVIEW
Isca Amanda, Savannah Graffin, Maria Adela Grando
The goal was to review mobile apps with COVID-19 digital vaccination certificates between November 2022 and March 2023 and evaluate: (a) compliance with the WHO Proof of Vaccination Scenario requirements, (b) risk levels of app permissions using a Permission Accumulated Risk Score (PARS), and (c) readability and transparency of the app's privacy policies using a Privacy Transparency Index (PTI) score. We found 49 mobile apps with COVID-19 digital vaccination certificates from across 32 countries. Most apps were developed by governments (37/49, 75...
2024: Digital Health
https://read.qxmd.com/read/38497765/update-of-the-minimum-information-about-biobank-data-sharing-miabis-core-terminology-to-the-3-rd-version
#24
JOURNAL ARTICLE
Niina Eklund, Cäcilia Engels, Michael Neumann, Andrzej Strug, Esther van Enckevort, Ronny Baber, Margreet Bloemers, Annelies Debucquoy, Aad van der Lugt, Heimo Müller, Lauri Parkkonen, Philip R Quinlan, Esmond Urwin, Petr Holub, Kaisa Silander, Gabriele Anton
Introduction: The Minimum Information About BIobank Data Sharing (MIABIS) is a biobank-specific terminology enabling the sharing of biobank-related data for different purposes across a wide range of database implementations. After 4 years in use and with the first version of the individual-level MIABIS component Sample , Sample donor, and Event , it was necessary to revise the terminology, especially to include biobanks that work more in the data domain than with samples. Materials & Methods: Nine use-cases representing different types of biobanks, studies, and networks participated in the development work...
March 18, 2024: Biopreservation and Biobanking
https://read.qxmd.com/read/38490206/restraint-validation-of-biomolecular-structures-determined-by-nmr-in-the-protein-data-bank
#25
JOURNAL ARTICLE
Kumaran Baskaran, Eliza Ploskon, Roberto Tejero, Masashi Yokochi, Deborah Harrus, Yuhe Liang, Ezra Peisach, Irina Persikova, Theresa A Ramelot, Monica Sekharan, James Tolchard, John D Westbrook, Benjamin Bardiaux, Charles D Schwieters, Ardan Patwardhan, Sameer Velankar, Stephen K Burley, Genji Kurisu, Jeffrey C Hoch, Gaetano T Montelione, Geerten W Vuister, Jasmine Y Young
Biomolecular structure analysis from experimental NMR studies generally relies on restraints derived from a combination of experimental and knowledge-based data. A challenge for the structural biology community has been a lack of standards for representing these restraints, preventing the establishment of uniform methods of model-vs-data structure validation against restraints and limiting interoperability between restraint-based structure modeling programs. The NEF and NMR-STAR formats provide a standardized approach for representing commonly used NMR restraints...
March 7, 2024: Structure
https://read.qxmd.com/read/38489222/comparison-of-3d-printed-single-crown-outcomes-among-different-computer-aided-design-software-programs
#26
JOURNAL ARTICLE
Juliana No-Cortes, Bonnie Attard, David Paul Mifsud, Jacqueline Ferreira Lima, Roberto Adrian Markarian, Ana Paula Ayres, Glenn Cassar, Arthur Rodriguez Gonzalez Cortes, Nikolai John Attard
PURPOSE: Low-cost resin 3D printers have been used to produce affordable interim single crowns in public and private dental practices. The purpose of this study was to assess the impact of different computer-aided design (CAD) software programs on 3D trueness, microscopic marginal and internal gaps, time to design, and interproximal contacts of low-cost 3D-printed single crowns. MATERIALS AND METHODS: This in vitro study was performed on a total of 90 standardized resin-prepared teeth adapted to a dental manikin...
February 21, 2024: International Journal of Prosthodontics
https://read.qxmd.com/read/38488510/nci-cancer-research-data-commons-lessons-learned-and-future-state
#27
JOURNAL ARTICLE
Erika Kim, Tanja M Davidsen, Brandi Davis-Dusenbery, Alexander Baumann, Angela Maggio, Zhaoyi Chen, Daoud Meerzaman, Esmeralda Casas-Silva, David Pot, Todd Pihl, John Otridge, Eve Shalley, The Crdc Program, Jill S Barnholtz-Sloan, Anthony R Kerlavage
More than ever, scientific progress in cancer research hinges on our ability to combine datasets and extract meaningful interpretations to better understand diseases and ultimately inform the development of better treatments and diagnostic tools. To enable the successful sharing and use of big data, the NCI developed the Cancer Research Data Commons (CRDC), providing access to a large, comprehensive, and expanding collection of cancer data. The CRDC is a cloud-based data science infrastructure that eliminates the need for researchers to download and store large-scale datasets by allowing them to perform analysis where data resides...
March 15, 2024: Cancer Research
https://read.qxmd.com/read/38488507/nci-cancer-research-data-commons-resources-to-share-key-cancer-data
#28
JOURNAL ARTICLE
Zhining Wang, Tanja M Davidsen, Gina R Kuffel, KanakaDurga Addepalli, Amanda Bell, Esmeralda Casas-Silva, Hayley Dingerdissen, Keyvan Farahani, Andrey Fedorov, Sharon Gaheen, Robert L Grossman, Ron Kikinis, Erika Kim, John Otridge, Todd Pihl, Melissa Porter, Henry Rodriguez, Louis M Staudt, Ratna R Thangudu, Sudha Venkatachari, Jean Claude Zenklusen, Xu Zhang, Jill S Barnholtz-Sloan, The Crdc Program, Anthony R Kerlavage
Since 2014, the National Cancer Institute (NCI) has launched a series of data commons as part of the Cancer Research Data Commons (CRDC) ecosystem housing genomic, proteomic, imaging, and clinical data to support cancer research and promote data sharing of NCI-funded studies. This review describes each data commons (Genomic Data Commons, Proteomic Data Commons, Integrated Canine Data Commons, Cancer Data Service, Imaging Data Commons, and Clinical and Translational Data Commons), including their unique and shared features, accomplishments, and challenges...
March 15, 2024: Cancer Research
https://read.qxmd.com/read/38482661/from-today-to-tomorrow-leveraging-digital-health-to-move-toward-health-for-all
#29
JOURNAL ARTICLE
Kendall Ho, Onil Bhattacharyya, Owen Adams
This series of papers explores the concept of essential digital health for the underserved. Several cross-cutting themes are highlighted in this paper, for example: (1) harmonizing journeys of different patient groups to understand diverse perspectives; (2) engaging health professionals in interoperability, change management and health human resource capacity building; (3) ensuring harmonization of micro, meso and macro levels of health services delivery; and (4) integrating evaluation iteratively to enable continuous improvement and learning...
January 2024: HealthcarePapers
https://read.qxmd.com/read/38482657/human-factor-health-data-interoperability
#30
JOURNAL ARTICLE
Ewan Affleck, Eric Sutherland, Cliff Lindeman, Richard Golonka, Teri Price, Tim Murphy, Tyler Williamson, Ann Chapman, Anita Layton, Cassie Fraser
Comprehensive health data interoperability is recognized as an essential element of high-functioning and accountable health service. Canada is lagging in health data interoperability compared to international comparators, and lacks a comprehensive approach to human factor interoperability, defined as system-level relationships that impact the capacity of health sector stakeholders to adopt harmonized health data standards and technology. Without addressing these system-level relationships, the adoption of harmonized health data standards and technology will be obstructed and Canadians will be underserved...
January 2024: HealthcarePapers
https://read.qxmd.com/read/38481427/evaluation-of-three-cytomegalovirus-igg-lateral-flow-assays-for-rapid-determination-of-cmv-serostatus
#31
JOURNAL ARTICLE
Laurel Joncas-Schronce, Fatima Ali, Gregory Pepper, Renee D Stapleton, Gordon D Rubenfeld, Michael Boeckh, Ajit P Limaye
BACKGROUND: Cytomegalovirus (CMV) serostatus is a major determinant of CMV infection, disease risk, and transplant outcomes. Current clinical serology assays are limited by relatively slow turnaround time, design for batched testing, need for trained personnel, and/or specialized equipment. Rapid diagnostic assays in development have a role in emerging settings, such as critically ill patients, but have not been systematically evaluated. METHODS: We assessed the performance of 3 rapid lateral flow assays (LFAs) for the detection of CMV immunoglobulin (Ig)G antibodies compared with a reference commercially available CMV IgG enzyme-linked immunosorbent assay in residual serum samples from 200 consecutive adults who underwent clinical CMV serology testing...
March 2024: Open Forum Infectious Diseases
https://read.qxmd.com/read/38475231/a-connector-for-integrating-ngsi-ld-data-into-open-data-portals
#32
JOURNAL ARTICLE
Laura Martín, Jorge Lanza, Víctor González, Juan Ramón Santana, Pablo Sotres, Luis Sánchez
Nowadays, there are plenty of data sources generating massive amounts of information that, combined with novel data analytics frameworks, are meant to support optimisation in many application domains. Nonetheless, there are still shortcomings in terms of data discoverability, accessibility and interoperability. Open Data portals have emerged as a shift towards openness and discoverability. However, they do not impose any condition to the data itself, just stipulate how datasets have to be described. Alternatively, the NGSI-LD standard pursues harmonisation in terms of data modelling and accessibility...
March 6, 2024: Sensors
https://read.qxmd.com/read/38475170/building-flexible-scalable-and-machine-learning-ready-multimodal-oncology-datasets
#33
JOURNAL ARTICLE
Aakash Tripathi, Asim Waqas, Kavya Venkatesan, Yasin Yilmaz, Ghulam Rasool
The advancements in data acquisition, storage, and processing techniques have resulted in the rapid growth of heterogeneous medical data. Integrating radiological scans, histopathology images, and molecular information with clinical data is essential for developing a holistic understanding of the disease and optimizing treatment. The need for integrating data from multiple sources is further pronounced in complex diseases such as cancer for enabling precision medicine and personalized treatments. This work proposes Multimodal Integration of Oncology Data System (MINDS)-a flexible, scalable, and cost-effective metadata framework for efficiently fusing disparate data from public sources such as the Cancer Research Data Commons (CRDC) into an interconnected, patient-centric framework...
March 2, 2024: Sensors
https://read.qxmd.com/read/38475001/wearable-devices-and-digital-biomarkers-for-optimizing-training-tolerances-and-athlete-performance-a-case-study-of-a-national-collegiate-athletic-association-division-iii-soccer-team-over-a-one-year-period
#34
JOURNAL ARTICLE
Dhruv R Seshadri, Helina D VanBibber, Maia P Sethi, Ethan R Harlow, James E Voos
Wearable devices in sports have been used at the professional and higher collegiate levels, but not much research has been conducted at lower collegiate division levels. The objective of this retrospective study was to gather big data using the Catapult wearable technology, develop an algorithm for musculoskeletal modeling, and longitudinally determine the workloads of male college soccer (football) athletes at the Division III (DIII) level over the course of a 12-week season. The results showed that over the course of a season, (1) the average match workload (432 ± 47...
February 23, 2024: Sensors
https://read.qxmd.com/read/38467709/anomaly-detection-in-iot-based-healthcare-machine-learning-for-enhanced-security
#35
JOURNAL ARTICLE
Maryam Mahsal Khan, Mohammed Alkhathami
Internet of Things (IoT) integration in healthcare improves patient care while also making healthcare delivery systems more effective and economical. To fully realize the advantages of IoT in healthcare, it is imperative to overcome issues with data security, interoperability, and ethical considerations. IoT sensors periodically measure the health-related data of the patients and share it with a server for further evaluation. At the server, different machine learning algorithms are applied which help in early diagnosis of diseases and issue alerts in case vital signs are out of the normal range...
March 11, 2024: Scientific Reports
https://read.qxmd.com/read/38457467/teemi-an-open-source-literate-programming-approach-for-iterative-design-build-test-learn-cycles-in-bioengineering
#36
JOURNAL ARTICLE
Søren D Petersen, Lucas Levassor, Christine M Pedersen, Jan Madsen, Lea G Hansen, Jie Zhang, Ahmad K Haidar, Rasmus J N Frandsen, Jay D Keasling, Tilmann Weber, Nikolaus Sonnenschein, Michael K Jensen
Synthetic biology dictates the data-driven engineering of biocatalysis, cellular functions, and organism behavior. Integral to synthetic biology is the aspiration to efficiently find, access, interoperate, and reuse high-quality data on genotype-phenotype relationships of native and engineered biosystems under FAIR principles, and from this facilitate forward-engineering strategies. However, biology is complex at the regulatory level, and noisy at the operational level, thus necessitating systematic and diligent data handling at all levels of the design, build, and test phases in order to maximize learning in the iterative design-build-test-learn engineering cycle...
March 8, 2024: PLoS Computational Biology
https://read.qxmd.com/read/38457228/improvements-in-neoplasm-classification-in-the-international-classification-of-diseases-eleventh-revision-systematic-comparative-study-with-the-chinese-clinical-modification-of-the-international-classification-of-diseases-tenth-revision
#37
JOURNAL ARTICLE
Yicong Xu, Jingya Zhou, Hongxia Li, Dong Cai, Huanbing Zhu, Shengdong Pan
BACKGROUND: The International Classification of Diseases, Eleventh Revision (ICD-11) improved neoplasm classification. OBJECTIVE: We aimed to study the alterations in the ICD-11 compared to the Chinese Clinical Modification of the International Classification of Diseases, Tenth Revision (ICD-10-CCM) for neoplasm classification and to provide evidence supporting the transition to the ICD-11. METHODS: We downloaded public data files from the World Health Organization and the National Health Commission of the People's Republic of China...
March 8, 2024: Interactive Journal of Medical Research
https://read.qxmd.com/read/38448999/predicting-sepsis-in-hospital-mortality-with-machine-learning-a-multi-center-study-using-clinical-and-inflammatory-biomarkers
#38
MULTICENTER STUDY
Guyu Zhang, Fei Shao, Wei Yuan, Junyuan Wu, Xuan Qi, Jie Gao, Rui Shao, Ziren Tang, Tao Wang
BACKGROUND: This study aimed to develop and validate an interpretable machine-learning model that utilizes clinical features and inflammatory biomarkers to predict the risk of in-hospital mortality in critically ill patients suffering from sepsis. METHODS: We enrolled all patients diagnosed with sepsis in the Medical Information Mart for Intensive Care IV (MIMIC-IV, v.2.0), eICU Collaborative Research Care (eICU-CRD 2.0), and the Amsterdam University Medical Centers databases (AmsterdamUMCdb 1...
March 6, 2024: European Journal of Medical Research
https://read.qxmd.com/read/38447593/real-world-performance-of-the-21st-century-cures-act-population-level-application-programming-interface
#39
JOURNAL ARTICLE
James R Jones, Daniel Gottlieb, Andrew J McMurry, Ashish Atreja, Pankaja M Desai, Brian E Dixon, Philip R O Payne, Anil J Saldanha, Prabhu Shankar, Yauheni Solad, Adam B Wilcox, Momeena S Ali, Eugene Kang, Andrew M Martin, Elizabeth Sprouse, David E Taylor, Michael Terry, Vladimir Ignatov, Kenneth D Mandl
OBJECTIVE: To evaluate the real-world performance of the SMART/HL7 Bulk Fast Health Interoperability Resources (FHIR) Access Application Programming Interface (API), developed to enable push button access to electronic health record data on large populations, and required under the 21st Century Cures Act Rule. MATERIALS AND METHODS: We used an open-source Bulk FHIR Testing Suite at 5 healthcare sites from April to September 2023, including 4 hospitals using electronic health records (EHRs) certified for interoperability, and 1 Health Information Exchange (HIE) using a custom, standards-compliant API build...
March 6, 2024: Journal of the American Medical Informatics Association: JAMIA
https://read.qxmd.com/read/38446504/real-world-data-quality-framework-for-oncology-time-to-treatment-discontinuation-use-case-implementation-and-evaluation-study
#40
JOURNAL ARTICLE
Boshu Ru, Arthur Sillah, Kaushal Desai, Sheenu Chandwani, Lixia Yao, Smita Kothari
BACKGROUND: The importance of real-world evidence is widely recognized in observational oncology studies. However, the lack of interoperable data quality standards in the fragmented health information technology landscape represents an important challenge. Therefore, adopting validated systematic methods for evaluating data quality is important for oncology outcomes research leveraging real-world data (RWD). OBJECTIVE: This study aims to implement real-world time to treatment discontinuation (rwTTD) for a systemic anticancer therapy (SACT) as a new use case for the Use Case Specific Relevance and Quality Assessment, a framework linking data quality and relevance in fit-for-purpose RWD assessment...
March 6, 2024: JMIR Medical Informatics
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