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PubMed2026

Identification of NR4A2 as a Potential Predictive Biomarker for Atherosclerosis.

INTRODUCTION/OBJECTIVE: Atherosclerosis, a leading cause of death globally, is characterized by the buildup of immune cells and lipids in medium to large-sized arteries. However, its precise mechanism remains unclear. The purpose of this study is to explore innovative and reliable biomarkers as a viable approach for the identification and management of atherosclerosis. METHODS: The atherosclerosis-related datasets GSE100927 and GSE66360 were retrieved from the Gene Expression Omnibus (GEO) database. The Limma package in the R programming language was utilized, applying the criteria of |logFC| > 1 and P < 0.05. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on the 127 identified DEGs using R. Machine learning techniques were then applied to these data to explore and pinpoint potential biomarkers. The diagnostic potential of these markers was assessed via Receiver Operating Characteristic (ROC) curve analysis. Finally, western blot, real-time quantitative PCR (qRT-PCR), and immunohistochemistry (IHC) were employed to confirm the key biomarkers. RESULTS: Our research indicated that a total of 127 DEGs linked to atherosclerosis were successfully identified. Through the application of machine learning methods, eight critical genes were highlighted. Among these, Nuclear Receptor Subfamily 4 Group A Member-2 (NR4A2) emerged as the most promising marker for further investigation. CIBERSORT analysis revealed that NR4A2 expression levels were significantly correlated with multiple immune cell types, including B cells, plasma cells, and macrophages. Additional validation experiments confirmed that NR4A2 expression was indeed elevated in atherosclerotic plaques, supporting its potential as a biomarker for atherosclerosis. CONCLUSION: Our study identified NR4A2 as a potential immune-related biomarker for the diagnosis and treatment of atherosclerosis.

Atherosclerosis↗

PubMed1996

A computer utility for automated retrieval of radiology reports.

OBJECTIVE: Many radiology information systems (RISs) installed during the 1980s have a user interface that is crude by today's standards. We explored improving this user interface by using the local processing power of the personal computer. In this article we describe a computer program that significantly enhances the ease of report retrieval by automating much of the interaction with our RIS, which is IDXrad. MATERIALS AND METHODS: The program, named DERVISH, runs under DOS on International Business Machines-compatible personal computers having an 80286 or faster processor, an enhanced graphics adapter or video gate array display, two serial ports, a mouse, and a bar code wand. It is written in the C++ programming language. Input may be keyboard, mouse, or bar code wand, and reports may be displayed singly or multiply and printed to a local printer or an RIS printer or copied to a disk file. DERVISH not only performs many of the routine tasks of an RIS session such a logging on and off but also provides a menu-driven environment for report display, including optional restriction of the report list to related prior reports. Keyboard use is minimized in favor of a mouse and a bar code wand. DERVISH emulates a standard RIS terminal for functions other than report retrieval. RESULTS: Originally intended to help retrieve the prior radiology reports of a patient at hand, DERVISH has found use in our quality management effort as well, simplifying comparison of reports from related radiologic techniques. An early version suffered poor acceptance because of its nonstandard interface and frequent malfunctions. The current version is presently in use in our emergency radiology department. CONCLUSION: DERVISH serves not only as a useful utility in itself but also as a demonstration of the ability of the local processing power of a desktop computer to improve the user interface of an aging RIS and to extend its functional life.

Computer Graphics↗

PubMed1993

Teaching medical diagnosis: a rule-based approach.

This paper discusses the design of a diagnostic process simulator which teaches medical students to think clinically. This was possible to achieve due to the application of a rule-based approach to represent diagnosis and treatments. Whilst using the simulator, as a result of the student's incorrect and correct decisions, the clinical situation changes accordingly. New diagnostic options result in the ability to choose further clinical and laboratory tests. The simulator is being implemented on Sun workstations and Macintosh computers using Prolog programming language.

Clinical Competence↗

PubMed1980

Use of a PET in medical data logging.

As a mass produced device which can be programmed according to application, the microprocessor is an obvious choice of component in hospital instrumentation for a wide range of activities from routine surveillance and process control to individual research projects. Until recently the development of an instrument from the naked processor has often proved to be labour intensive with control over both cost and timescale from design to completion difficult to maintain. Difficulties are frequently experienced in the areas of providing suitable communication channels for both data collection and immediate information for the operator and mass data storage. In our view, the arrival of the PET on the scene, as an example of a microprocessor based package including keyboard, video display, flexible I/0 ports, simple tape recorder and high level programming language has opened up new opportunities for those wishing to use microprocessors without tears. This paper describes how the authors have confirmed this view by successfully using the PET in particular data logging application. Design philosophy is discussed and gives an estimation of the limitations imposed on an approach using PET.

Computers↗

PubMedDate not supplied

Consultation system for diagnosis of headache and facial pain: RHINOS.

How does a doctor make a diagnosis based on his medical knowledge? A hypothesis is proposed concerning the diagnostic method of specialized doctors. The knowledge provided by an authority is used to establish a diagnostic system for headache and facial pain named RHINOS. RHINOS is based on the above hypothesis as represented by the programming language Prolog, which is operative on an NEC PC-9801 microcomputer with reasonable CPU time. This implementation form benefited greatly from RHINOS's portability and availability. RHINOS has four types of rules, two levels, acting as a forward link from manifestations to diseases. It also has disease images as a backward link from diseases to manifestations. With this knowledge, RHINOS makes not only a single diagnosis but also differential diagnosis, and diagnosis for complicated cases of two or more diseases. The disease-image link made this possible. RHINOS was applied for diagnoses of 50 patients: 82% of its answers were equivalent to those made by a specialist, and a further 16% were close to the right answers.

Arteriosclerosis↗

PubMedDate not supplied

An algorithm for leukaemia immunophenotype pattern recognition.

Since leukaemia-specific leucocyte antigen has not been identified to date, the immunological diagnosis of leukaemia is achieved through the application of a wide set of monoclonal antibodies specific for surface markers on leukaemic cells. Thus, the interpretation of leukaemia immunophenotype seems to be a mathematically determined comparison of 'what we found' and 'what we know' about it. The objective of this study was to establish an algorithm for transformation of empirical rules into mathematical values to achieve proper decisions. Recognition of leukaemia phenotype was performed by comparison of phenotyping data with reference data, followed by scoring of such comparisons. Systematic scoring resulted in the formation of new numerical variables allocated to each state, whereas a most significant variable was described as a complex measure of compatibility. A system of recognized states was described by mathematical variables measuring the confidence of information systems, i.e. maximal, total and relative entropy. The entire algorithm was derived by matrix algebra and coded in a high-level program language. The list of the states recognized appeared to be especially helpful in differential diagnosis, occasionally pointing to states that had not been in the scientist's mind at the start of the analysis.

Algorithms↗

PubMed1999

A perception experiment with time-critical graphics animation on the World-Wide Web.

The World-Wide Web offers a potentially interesting tool to collect data from a large and heterogeneous audience. While questionnaires have become rather common on the Internet, its potential reaches far beyond text processing. In principle, it is possible not only to perform interactive, dynamic experiments on the Web, but also to include graphical animation and time-critical responses, such as reaction times. We implemented a visual motion extrapolation task on the Web using the programming language Java, which can be interpreted by standard Web browsers such as Netscape or Internet Explorer. The data collected with this method turned out to be reliable and differed little from data obtained in a controlled laboratory setting, with the exception of conditions with fixation instruction. Thus, the Web can, generally speaking, be used for data collection of large sample sizes. The strengths and weaknesses of dynamic visual simulation experiments on the Internet are discussed.

Adult↗

PubMed2026

Weight regain following discontinuation of glucagon-like peptide-1 receptor agonists in adults who are overweight or obese: a systematic review and meta-analysis.

OBJECTIVE: This study aims to explore the effects of glucagon-like peptide-1 receptor agonists (GLP-1RAs) on weight changes and the occurrence of adverse reactions in overweight or obese adults after drug withdrawal. METHODS: Computerized searches were conducted in evidence-based databases such as PubMed, Embase, Cochrane Library and Scopus. The search period was from the establishment of the database to December 2025. Collect randomised controlled trials (RCTs) and controlled trials on GLP-1RAs, including tirzepatide, semaglutide, liraglutide, and dulaglutide, for the treatment of overweight or obese adult patients. The risk of bias in the included studies was assessed using the Cochrane Risk of Bias V2.0 tool provided by the Cochrane Collaboration, and meta-analysis was performed using the R programming language. RESULTS: A total of 699 studies were initially retrieved. Eventually, six studies involving 8,993 patients were included in the quantitative analysis, comprising 5,553 patients in the discontinuation group and 3,440 in the continued treatment group. The results of the meta-analysis showed that, compared with the continued treatment group, the weight difference in the discontinuation group was mean difference (MD) = 17.90%, 95% confidence interval (CI) [14.11-21.69], P < 0.0001. It can be seen that there was a significant rebound in weight after drug withdrawal, and there was statistical heterogeneity among the studies (P = 0.0082). Subgroup analysis further revealed that the weight rebound amplitude after discontinuation of tirzepatide was significantly higher than that of semaglutide. This result suggests that the differences in the mechanism of action of different GLP-1RAs may be the reason for the differences in weight changes after discontinuation. In addition, the percentage difference in body weight between after and before drug withdrawal was MD = 9.11%, 95% CI [7.91-10.30], P < 0.0001, further verifying the trend of weight rebound after drug withdrawal. The summary of adverse reaction reports analyzed and studied indicates that after drug withdrawal, the overall adverse reactions of patients decreased, gastrointestinal adverse reactions decreased, and the incidence of cardiovascular events was not affected by drug withdrawal. CONCLUSION: There is a significant weight rebound phenomenon after discontinuation of GLP-1RAs, and the rebound magnitudes vary among different types of drugs. At the same time, there is a risk of adverse reactions during the use of such drugs.

Humans↗

PubMed1999

Computing minimum description length for robust linear regression model selection.

A minimum description length (MDL) and stochastic complexity approach for model selection in robust linear regression is studied in this paper. Computational aspects and implementation of this approach to practical problems are the focuses of the study. Particularly, we provide both algorithms and a package of S language programs for computing the stochastic complexity and proceeding with the associated model selection. A simulation study is then presented for illustration and comparing the MDL approach with the commonly used AIC and BIC methods. Finally, an application is given to a physiological study of triathlon athletes.

Algorithms↗

PubMed1999

A strategy for statistical Master Person Index linking.

A linking program used by Connecticut Healthcare Information Management and Exchange to maintain the Master Person Index for its large, state-wide patient data repository is being stretched beyond its limits by the growing size and complexity of the database. This paper presents the early work into developing a second-generation linking program. Like the original program, the new linker will use a unique multi-step process to allow effective linking of data from a large number of dissimilar data sources. The new linker will use parallel multi-processing to allow improved performance and scalability. These changes will also make possible more sophisticated statistical methods of defining link confidence. The system is implemented using a scalable collection of inexpensive, PC based systems running the Linux operating system, a freely available database engine, and the Java programming language.

Abstracting and Indexing↗

PubMedDate not supplied

[Neuropeptide Y: its diversity and the apparent contradictoriness of its functions. An analysis of its possible mediated effects].

The review of NPY functions summarizes so fare accumulated data of its physiological effects. The estimation of heterogeneity of NPY receptors in responding reactions is made. The analysis of possible direct and indirect NPY effects is performed including cascade mechanism of other peptides releasing. Peptide cascade regulation modeling software created on database programming language Visual FoxPro 5.0 allows to trace several induction steps and estimate possible contribution of each peptide into final spectrum of biological activity.

Animals↗

PubMed2000

Return on investment (ROI) analysis in the face of uncertainty

Calculation of return on investment should be as easy as knowing the cost and the benefit and doing the math. Unfortunately in medical informatics rarely do we know the benefit with absolute certainty. Often the benefit is a combination of "fuzzy" ill defined concepts. In order to support the ROI analysis for medical information systems we developed a probabilistic time varying model that allows each of the fuzzy concepts of savings to be expressed as a likelihood distribution rather than a fixed value. The model and an interactive simulator were created using the graphical programming language G (National Instruments, Dallas,TX). This tools allows rapid prototyping and drag and drop ease of customizing the model to the particular clinical setting. The resulting ROI is expressed in terms of likelihoods, potential risk and confidence intervals providing a unique view of the financial analysis not typically available. In this paper an example is illustrated for perioperative information systems.

Journal Article↗

PubMed1999

Analysis of cardiovascular regulation.

Adequate characterization of hemodynamic and autonomic responses to physical and mental stress can elucidate underlying mechanisms of cardiovascular disease or anxiety disorders. We developed a physiological signal processing system for analysis of continuously recorded ECG, arterial blood pressure (BP), and respiratory signals using the programming language Matlab. Data collection devices are a 16-channel digital, physiological recorder (Vitaport), a finger arterial pressure transducer (Finapres), and a respiratory inductance plethysmograph (Respitrace). Besides the conventional analysis of the physiological channels, power spectral density and transfer functions of respiration, heart rate, and blood pressure variability are used to characterize respiratory sinus arrhythmia (RSA), 0.10-Hz BP oscillatory activity (Mayer-waves), and baroreflex sensitivity. The arterial pressure transducer waveforms permit noninvasive estimation of stroke volume, cardiac output, and systemic vascular resistance. Time trends in spectral composition of indices are assessed using complex demodulation. Transient dynamic changes of cardiovascular parameters at the onset of stress and recovery periods are quantified using a regression breakpoint model that optimizes piecewise linear curve fitting. Approximate entropy (ApEn) is computed to quantify the degree of chaos in heartbeat dynamics. Using our signal processing system we found distinct response patterns in subgroups of patients with coronary artery disease or anxiety disorders, which were related to specific pharmacological and behavioral factors.

Autonomic Nervous System↗

PubMedDate not supplied

[Possibilities of computer-assisted processing of the results of an examination of the visual system].

The authors present the first results of examining the vision system with the use of an automated programmed complex realized in the 'C' program language in the IBM and Dos operation system, that helped present in a chart the distribution of the ocular light sensitivity and time of the sensomotor reaction in every site of the visual field of 40-50 degrees. The results evidence that computer-aided methods may be effectively used to assess the light sensitivity of the eye, contrast sensitivity, space summation, rod and cone interactions, the topography of color photoreceptors, and the function of the posterior section of the eye in abnormalities of the retina and the optic nerve, as well as to monitor visual function rehabilitation after treatment.

Adaptation, Ocular↗

PubMed1991

Evaluation of a parallel implementation of the learning portion of the backward error propagation neural network: experiments in artifact identification.

Various methods have been proposed in an attempt to solve problems in artifact and/or alarm identification including expert systems, statistical signal processing techniques, and artificial neural networks (ANN). ANNs consist of a large number of simple processing units connected by weighted links. To develop truly robust ANNs, investigators are required to train their networks on huge training data sets, requiring enormous computing power. We implemented a parallel version of the backward error propagation neural network training algorithm in the widely portable parallel programming language C-Linda. A maximum speedup of 4.06 was obtained with six processors. This speedup represents a reduction in total run-time from approximately 6.4 hours to 1.5 hours. We conclude that use of the master-worker model of parallel computation is an excellent method for obtaining speedups in the backward error propagation neural network training algorithm.

Algorithms↗

PubMed1991

The MAClinical Workstation Project at Georgetown University.

The intent of the MAClinical Workstation Project is to develop computer workstations for medical students of the sort they will use in future medical practice. The idea is to instill information query habits in the daily clinical activities of these young physicians-in-training. The Georgetown University Medical Center Library spearheads the project in conjunction with the School of Medicine. The library handles technical support, including software development, user training, equipment maintenance, and network installations. The project began in 1988 with nine Macintosh computers; today thirty machines are distributed throughout the Georgetown University Hospital conference rooms, faculty and resident offices, and at four affliated hospitals. The Macintosh computers are connected to the medical center's local area network (LAN) with access to the Integrated Academic Information Management System (IAIMS) and Library Information System (LIS) databases. The MAClinical workstations serve multiple educational purposes in the clinical setting. Primarily, students gain experience in medical informatics by using a variety of software systems installed at the stations: the H&P Writer, a history and physical system written in the C programming language, can be used by students to prepare the admission record on patients they examine; also, students can keep patient records, check findings against a diagnostic system, look up drugs and treatment protocols, develop medical sketches, and find additional information when needed in the medical literature.

Computer Systems↗

PubMed1991

Digitally calibrated eye movement measurement system.

A less expensive instrumentation alternative to record horizontal eye movements is presented in the form of a feasibility study. Currently, there are several techniques used to accurately measure eye position for research purposes. To implement these techniques, significant financial resources are required. The proposed technique costs less than $3000.00 and is based upon the limbus position technique. A linear charged coupled device (CCD) image array sensor and a biconvex lens are used to determine the position of the pupil. The self scanned CCD array is controlled by four analog clock signals generated from digital logic. The CCD video output signal is converted to a TTL compatible signal. The TTL signal is used to create a digital number based upon the limbus image formation upon the CCD pixels. This digital number is processed using standard signal acquisition techniques and is recorded on the hard drive disk of an IBM PC/AT compatible system. The C programming language is used to acquire the data and control calibration of the system. FORTRAN software is used to implement digital signal processing algorithms and estimate eye position.

Calibration↗

PubMed1990

A general numerical method evaluating three-dimensional eye rotations by scanning laser ophthalmoscopy.

A general computational method is described to specify completely the rotational state of the eye in three dimensions by scanning laser ophthalmoscopy (SLO). The method uses the simplex algorithm to fit the eye's rotational parameters to data given by n individually selected ocular fundus landmarks before and after the eye rotation. The rotational parameters are expressed as the rotation vector and three spherical Euler angles. The method, which was implemented in the C programming language, can be applied for various eye movement measurements in clinical and laboratory environments, including SLO.

Algorithms↗