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PubMed2025

Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review.

BACKGROUND: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation. OBJECTIVE: This scoping review aimed to investigate the implementation of rehabilomics strategies through cloud-based rehabilitation and summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of rehabilomics and provide insights into future research directions. METHODS: In this scoping review, we systematically searched major academic databases, including CINAHL, Embase, Google Scholar, PubMed, MEDLINE, ScienceDirect, Scopus, and Web of Science to identify relevant studies and apply predefined inclusion criteria to select appropriate studies. Subsequently, we analyzed 28 selected papers to identify trends and insights regarding cloud-based rehabilitation and rehabilomics within this study's landscape. RESULTS: This study reports the various applications and outcomes of implementing rehabilomics strategies through cloud-based rehabilitation. In particular, a comprehensive analysis was conducted on 28 studies, including 16 (57%) focused on personalized rehabilitation and 12 (43%) on data security and privacy. The distribution of articles among the 28 studies based on specific keywords included 3 (11%) on the cloud, 4 (14%) on platforms, 4 (14%) on hospitals and rehabilitation centers, 5 (18%) on telehealth, 5 (18%) on home and community, and 7 (25%) on disease and disability. Cloud platforms offer new possibilities for data sharing and collaboration in rehabilomics research, underpinning a patient-centered approach and enhancing the development of personalized therapeutic strategies. CONCLUSIONS: This scoping review highlights the potential significance of cloud-based rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in rehabilomics.

Cloud Computing↗
PubMed1983

A medical record database in radiology.

A database system on the medical records of radiation therapy, computer tomographic and radioisotopic examinations of our department was created in Computing Center of Hokkaido University which has two remote terminals in the department. Old three filing systems which had been kept in three sections of our department independently since 1972 were integrated by the creation of the database. The main functions of our database management system are as follows; 1. data input through two minicomputers in the department; 2. data loading to the database from the minicomputers; 3. production of key word files and link files for generalised data handling. Seven files are defined in the database with total data of 30 Mega bytes at the end of 1981. Many programs for information retrieval and data processings were prepared and every member of the department can share both data and application programs registered. Outline and operation of the database system and some examples of data processings are reported.

Computers↗
PubMed1983

Gas-liquid chromatography-frequency pulse-modulated electron-capture detection in the diagnosis of infectious diseases.

The extremely sensitive and selective gas-liquid chromatography-frequency pulsed-modulated electron-capture detection (GLC-FP-ECD) procedure has been applied to the diagnosis of bacterial, fungal, viral, rickettsial, and parasitic diseases by the examination of various body fluids, effusions and exudates, and excretion products. Carboxylic acid and alcohol, hydroxy acid, and amine product profiles of microbial or host-response origin, have been used to establish specific etiologies, these profiles are reproducible, and can be used to aid in the diagnosis of infections. In addition, we have used the GLC-FP-ECD procedure to analyze microbial metabolic products in vitro and to provide data for identification and classification. We also explored computer time-sharing for data analysis, profile library comparison, and eventual profile matching for diagnosis.

Alcohols↗
PubMed2026

dGAMLSS: an exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts.

MOTIVATION: There is growing interest in estimating population reference ranges across age and sex to better identify atypical clinically-relevant measurements throughout the lifespan. For this task, the World Health Organization recommends using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), which can model non-linear growth trajectories under complex distributions that address the heterogeneity in human populations.Fitting GAMLSS models requires large, generalizable sample sizes, especially for accurate estimation of extreme quantiles, but obtaining such multi-site data can be challenging due to privacy concerns and practical considerations. In settings where patient data cannot be shared, privacy-preserving distributed algorithms for federated learning can be used, but no such algorithm exists for GAMLSS. RESULTS: We propose distributed GAMLSS (dGAMLSS), a distributed algorithm that can fit GAMLSS models across multiple sites without sharing patient-level data. This includes specific considerations for the fitting of smooth functions at varying levels of communication efficiency. We demonstrate the effectiveness of dGAMLSS in constructing population reference charts across clinical, genomics, and neuroimaging settings and show that dGAMLSS is able to reproduce pooled reference charts and inference down to numerical differences. AVAILABILITY AND IMPLEMENTATION: An R package providing examples of the dGAMLSS algorithm, as well as functions for sharing and aggregating site-specific parameters, is available at https://github.com/hufengling/dGAMLSS.

Algorithms↗
PubMed1990

Introduction to flow cytometry data file standard.

The Data File Standards Committee of the Society for Analytical Cytology presents a Standard to be used for the storage of data associated with flow cytometric measurements. The Standard specifies a format that provides for the inclusion of all information necessary to fully describe: 1) the instrument used for the measurement; 2) the sample measured; 3) the data obtained; and 4) the results of analysis of the data. The Committee and the Society for Analytical Cytology point out that the use of this Standard by all those individuals and companies that generate or use data taken with flow cytometers or generate methods of analysis for the data will encourage the sharing of such data and methods of analysis.

Flow Cytometry↗
PubMed2001

Suggested specifications for a standardized Addiction Severity Index database.

The Addiction Severity Index (ASI) has become one of the most widely used instruments in the addictions field. As a result of its wide popularity, there are multiple versions of the instrument in use, and a wide range of computer systems used to collect and/or store ASI data. Thus, it has been difficult for different users and systems to share ASI data. This difficulty significantly reduces the value of the information for treatment providers, policy makers, and researchers. This article provides operational definitions and specifications for a "Standard ASI Database." Descriptions for standard variable names, data types, field lengths, value labels, range checks, and programming notes for all items in the fifth edition of the ASI are available electronically from the senior. Examples from the full protocol and the rationale for producing the Standard ASI Database elements are illustrated here. It is hoped that the format suggested will become the "industry standard" for ASI data storage among all users of the ASI and that, regardless of the software used or the method of data collection, there will be a single, standard format for all ASI databases. The potential applications from such a database would benefit treatment providers/clinicians and researchers as well as payers and policy makers.

Databases as Topic↗
PubMed2001

[Clinical laboratory data and reference intervals standardized in Fukuoka].

In Fukuoka whose population is approximately five million inhabitants, surveys on the accuracy of laboratory data have been performed by the Fukuoka Prefecture Medical Association for the last 30 years. We have been attempting to evaluate the data for routine use since 1988, and it has become possible to share laboratory data between all institutions in Fukuoka prefectures. As a result, reference intervals for 23 clinical chemistry analytes were established in 1995, to which were added in 1996 five serum protein constituents that have been utilized for clinical examinations. Methods for documentations and monitorings the data obtained in the prefecture were also established, standardization of the above analytes extended to 97% of the institutions in the prefecture. Results for 14 of the 23 clinical chemistry analytes have become highly reliable and clinically useful as differences between institutions in terms of results have narrowed. Standardization of other analytes is now in progress.

Aged↗
PubMedDate not supplied

Improved quality data systems through the use of standard electronic data deliverables (EDDs) and environmental data assessment software.

One of the challenges facing professionals in the environmental arena today is the collection and assessment of large amounts of environmental analytical data. The assessment of the quality of that data is essential as multi-million dollar decisions for environmental site cleanups and/or long term monitoring efforts are made based on the analytical results. Also critical to environmental programs is the sharing and access of data across multiple data users. The ability to share data allows for better use of the limited resources available to clean up and monitor contaminated environmental sites. Standardization of electronic deliverables allows for collection of data from multiple data collectors into a single database for use by numerous data users and stakeholders on a project. This paper discusses the benefits of using a standard EDD deliverable format and use of environmental data assessment software tools to do project planning and data assessment throughout the duration of the environmental project.

Database Management Systems↗
PubMedDate not supplied

Data withholding in academic genetics: evidence from a national survey.

CONTEXT: The free and open sharing of information, data, and materials regarding published research is vital to the replication of published results, the efficient advancement of science, and the education of students. Yet in daily practice, the ideal of free sharing is often breached. OBJECTIVE: To understand the nature, extent, and consequences of data withholding in academic genetics. DESIGN, SETTING, AND PARTICIPANTS: Mailed survey (March-July 2000) of geneticists and other life scientists in the 100 US universities that received the most funding from the National Institutes of Health in 1998. Of a potential 3000 respondents, 2893 were eligible and 1849 responded, yielding an overall response rate of 64%. We analyzed a subsample of 1240 self-identified geneticists and made a limited number of comparisons with 600 self-identified nongeneticists. MAIN OUTCOME MEASURES: Percentage of faculty who made requests for data that were denied; percentage of respondents who denied requests; influences on and consequences of withholding data; and changes over time in perceived willingness to share data. RESULTS: Forty-seven percent of geneticists who asked other faculty for additional information, data, or materials regarding published research reported that at least 1 of their requests had been denied in the preceding 3 years. Ten percent of all postpublication requests for additional information were denied. Because they were denied access to data, 28% of geneticists reported that they had been unable to confirm published research. Twelve percent said that in the previous 3 years, they had denied another academician's request for data concerning published results. Among geneticists who said they had intentionally withheld data regarding their published work, 80% reported that it required too much effort to produce the materials or information; 64%, that they were protecting the ability of a graduate student, postdoctoral fellow, or junior faculty member to publish; and 53%, that they were protecting their own ability to publish. Thirty-five percent of geneticists said that sharing had decreased during the last decade; 14%, that sharing had increased. Geneticists were as likely as other life scientists to deny others' requests (odds ratio [OR], 1.39; 95% confidence interval [CI], 0.81-2.40) and to have their own requests denied (OR, 0.97; 95% CI, 0.69-1.40). However, other life scientists were less likely to report that withholding had a negative impact on their own research as well as their field of research. CONCLUSIONS: Data withholding occurs in academic genetics and it affects essential scientific activities such as the ability to confirm published results. Lack of resources and issues of scientific priority may play an important role in scientists' decisions to withhold data, materials, and information from other academic geneticists.

Communication↗
PubMed2006

Estrogen receptor alpha positive breast tumors and breast cancer cell lines share similarities in their transcriptome data structures.

Established human breast cancer cell lines are widely used as experimental models in breast cancer research. While these cell lines and their variants share many phenotypic characteristics with human breast tumors, the extent to which they reflect the underlying molecular biology of breast cancer remains controversial. We explored this issue using a probabilistic rather than heuristic approach. Data from gene expression microarrays were used to compare the global structures of the transcriptomes of three estrogen receptor alpha positive (ER+) human breast cancer cell lines (MCF-7, T47D, ZR-75-1) and 13 human breast tumors (11 ER+; 2 ER-). Linear representations of the respective data structures were obtained by deriving those top principal components (PCs) required to capture > or =80% of the cumulative variance for each data set (M PCs). We then identified those genes most highly correlated with the M PCs (Pearson's correlation coefficient r > or =0.800) and identified a group of 36 genes commonly correlated with both the cell line (M = 5 PCs) and tumor (M = 6 PCs) data structures. All 36 common genes were correlated with PC1 from the breast tumor data: 21/36 genes were correlated with PC1, 14/36 genes correlated with PC2, and 1/36 genes correlated with PC3 from the cell line data. Genes important in defining the data structures include NFkappaB p65, IGFBP-6, ornithine decarboxylase-1, and paxillin. When data from MDA-MB-435 xenografts (ER-) were included in the analysis, we were unable to find any common genes between these xenografts and the breast tumors. These data clearly imply that MCF-7, T47D, and ZR-75-1 cells and ER+ breast tumors share substantial global similarities in the structures of their respective transcriptomes, and that these cell lines are good models in which to identify molecular events that are likely to be important in some ER+ human breast cancers.

Animals↗
PubMed1986

Distribution of Bunyamwera serogroup viruses in North America, 1956-1984.

We attempted to tabulate all Bunyamwera serogroup (family Bunyaviridae, genus Bunyavirus) isolates from North America. By summarizing information from the laboratories of the Centers for Disease Control, data generously shared by other laboratories, and the published literature, we were able to accumulate data regarding 1,372 Bunyamwera serogroup viruses. These were: Tensaw (664, including 8 from vertebrates), Cache Valley (396, including 6 from vertebrates), Main Drain (160, including 14 from vertebrates), Lokern (69, including 8 from vertebrates), Northway (13, including 5 from vertebrates), Tlacotalpan (7), Santa Rosa (2), Santa Cruz (1 from a horse), and 60 of undetermined serotype. Virus isolation rates by month of collection were correlated with collection efforts, but associations of viruses and arthropod vectors varied by location, vertebrate host, and arthropod distribution. Tensaw virus was isolated principally from Anopheles crucians mosquitoes (466/656 isolates from arthropods) in the southeastern United States; Cache Valley virus principally from An. quadrimaculatus (94), Coquillettidia perturbans (59), Culiseta inornata (45), Aedes sollicitans (30), Psorophora columbiae (23), An. punctipennis (18), and Ae. vexans and trivittatus (18 each) mosquitoes (total = 305/382 isolates from arthropods from all of the United States and Canada, except the southeastern United States); Main Drain virus from Culicoides variipennis (31), Culicoides (Selfia) sp. (65), and Psorophora (23) and Aedes (21) species mosquitoes in the western United States; Lokern virus from Culicoides species (55/61 isolates from arthropods) in the western United States. Relationships between vector and vertebrate host distributions are discussed briefly in regard to geographic distribution of the Bunyamwera serogroup viruses.

Aedes↗
PubMed2001

Present comparative data effectively.

The Joint Commissions' ORYX project is impacting the way hospital caregivers evaluate performance. Ten years ago, there were very little data from external groups that could be used for comparative purposes. Today, with all the different report card initiatives, such data are easier to find. Now quality managers are facing the challenge of sharing these data with administrative and medical staff leaders in a way that allows for accurate evaluation.

Data Collection↗
PubMed1995

Constituting a receptor-ligand information base from quality-enriched data.

Many different resources are needed for analyzing relevant experimental data in drug design. Currently this data is difficult to access, because it is stored in heterogeneous databases, spread over many platforms, poorly interconnected, incomplete, erroneous, or just not electronically available. In order to establish a high quality database for drug design we have developed a new demand-driven methodology for integrating and semantically enriching heterogeneous data from different research areas and for migrating the data into an object-oriented database management system. In this way we have established a database containing well-prepared, relevant data needed for drug design and offering the advantages of modern database technology, like a comprehensive object-oriented data model, a flexible declarative query language and support for persistent storage and sharing of data in a multi-user environment.

Amino Acid Sequence↗
PubMed1996

Practicality of recording patient ethnicity in general practice: descriptive intervention study and attitude survey.

OBJECTIVE: To assess the feasibility of recording patient ethnicity in primary care using the Office of Population Censuses and Surveys classification. DESIGN: A descriptive intervention study and attitude survey in random samples of adults and primary care staff in randomly selected practices. SETTING: Eight practices in Lincolnshire and seven in Leicester. SUBJECTS AND METHODS: When patients were asked their ethnicity by general practitioners, nurses, or receptionists data were collected for 863 of a possible 880 patients. Of 750 patients sent a questionnaire about their attitudes towards the collection of such data 489 responded. Ninety five primary care staff completed a similar questionnaire. MAIN OUTCOME MEASURES: Time taken to record a patient's ethnicity; attitudes of patients and staff towards such recording, including who should ask, who can respond for others, and whether data can be shared with secondary care. RESULTS: Recording the data took less than a minute for three quarters of patients, but even this would need an average of a week of receptionist time per general practitioner. 72% of patients and 57% of staff agreed that ethnic data could be shared with secondary care, and 73% of patients and 60% of staff felt that the data should probably be collected in general practice. CONCLUSIONS: Ethnicity recording in general practice is feasible and acceptable. Nevertheless, the role of ethnic data in assessing health need in primary care, an adequate recording system, and evidence that recording offers benefits greater than the costs need to be established.

Attitude↗