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PubMed1992

User requirements for information systems in nuclear medicine.

In the field of COST cooperation (COST = European Cooperation in the Field of Scientific and Technical Research) a project B2 for Quality Assurance in Nuclear Medicine Software has been established. In a memorandum of understanding setting up this project, user requirements were to be defined for the hardware and software used for data acquisition, processing and presentation. A subgroup of the management committee of COST B2 were interested in the Advanced Informatics in Medicine, AIM, task T-734 'Quality Assurance of Medical Software', and the AIM Project 'A 1034', coordinated by Dr K. Britton, was initiated. The initial drafts of this document were written in Helsinki during 1988-1990, and submitted for comment by the members of the management committee of COST B2. These comments were integrated in the text and this document was finalized by the UK group so as to make it available for international discussion. It is anticipated that, after appropriate international discussion, these User Requirements for Information Systems in Nuclear Medicine will be adopted by the management committee of COST B2 as a COST document. Towards these ends, a working group chaired by Dr Britton, including the British and Finnish teams and Ulrich Noelpp from Switzerland, was appointed by the management committee of COST B2 in April 1990. While writing it we have had the pleasure of working with referees from different European hospitals in many countries. We are happy to thank all of them for their valuable contributions.

Europe↗
PubMed2025

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data.

The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics queries across eight use cases, including regulatory variant analysis, tissue-specific expression, biomarker discovery, and cross-species variant prioritization. The DDKG is accessible via a public interface, a programmatic API, and downloadable builds for local use.

Journal Article↗
PubMed2026

AI In Leukemia Diagnostics: Complementing the Pathologist's Role.

Artificial intelligence (AI) is reshaping every stage of leukemia diagnostics, from digital morphology and multiparameter flow cytometry to next-generation sequencing, multi-omics analysis, and emerging computational frontiers such as quantum-inspired feature selection. This review outlines how contemporary AI tools can automate labor-intensive quantitation, flag diagnostically salient patterns, and standardize interpretation, while the pathologist or hematologist retains authority over validation, context-specific integration, and clinical decision-making. We present an illustrative "human-in-the-loop" workflow that embeds AI modules within current laboratory information systems, emphasizing points where expert oversight mitigates algorithmic bias and resolves discordant findings. We further map the validator-integrator role across morphology, flow cytometry, and genomic/multi-omic interpretation and provide practical training competencies and use cases for AI-assisted hematopathology. Beyond technical deployment, the article addresses the educational transformation required for sustainable adoption. Drawing on international competency frameworks, including the Digital Health Competencies in Medical Education Framework and recently proposed AI-specific Entrustable Professional Activities, we map core skills that future hematopathologists must master: data-science literacy, critical appraisal of AI outputs, and ethical governance. We highlight evaluated training models such as the Pathology Informatics Essentials for Residents curriculum, Stanford Artificial Intelligence in Machine and Imaging workshops, and College of American Pathologists bootcamps and propose integration strategies adaptable across resource settings. By pairing rigorous validation with targeted education, AI can elevate rather than eclipse the diagnostic role of the leukemia specialist, enabling more timely, reproducible, and personalized patient care.

Humans↗
PubMed2025

Identification of an antifungal lipopeptide from Bacillus amyloliquefaciens HAU3 inhibiting the growth of Fusarium graminearum using preparative chromatography and 2D-NMR.

UNLABELLED: The presence of fungal contamination and its mycotoxins in animal feed is pervasive, posing a significant threat to the well-being and performance of animals, as well as the safety of animal-derived food products. In this work, we screened a strain of Bacillus amyloliquefaciens (B. amyloliquefaciens) HAU3 that exhibits efficient antifungal activity against the growth of Fusarium graminearum (F. graminearum). The antifungal activity was detected in the supernatant, with 20% sterile supernatant demonstrating an impressive antifungal rate of 98.46% against F. graminearum. The antifungal activity of the strain was evaluated through spectrum analysis and silage trials, revealing its effective antifungal activity against multiple fungal species. Furthermore, the strain is capable of degrading ZEN and its derivatives. The targeted disruption of fungal mycelial membrane was observed using scanning electron microscopy and transmission electron microscopy. Additionally, staining with the reactive oxygen species (ROS)-sensitive fluorogenic dye DCFH-DA and propidium iodide (PI) revealed that the strain induces accumulation of ROS in fungal mycelia. The active compounds underwent further separation, purification, and detection. The prominent active peak was identified through mass spectrometry and magnetic resonance spectroscopy. The molecular structure of the active compounds was predicted to be lipopeptides composed of 8 amino acids known as fengycin. The whole genome sequencing and informatics analysis unveiled a total of 13 gene clusters responsible for the synthesis of secondary metabolites. The antifungal effects of B. amyloliquefaciens HAU3 are exerted through the synthesis of fengycin, which selectively targets and compromises the integrity of fungal mycelia membranes, thereby making it a potential biocontrol agent for mitigating mycotoxin contamination in feed. IMPORTANCE: Mycotoxin contamination in animal feed, predominantly driven by Fusarium graminearum, represents a persistent threat to livestock health and food chain integrity. Here, we report the isolation of a soil-derived Bacillus amyloliquefaciens HAU3, exhibiting potent and broad-spectrum antifungal activity alongside efficient biodegradation of zearalenone and its derivatives. Mechanistic dissection reveals that fengycin, the principal bioactive metabolite, compromises fungal membrane integrity and elicits intracellular oxidative stress, culminating in hyphal collapse. Genomic profiling uncovers a diverse repertoire of biosynthetic gene clusters underpinning secondary metabolite production. These findings establish strain HAU3 as a promising microbial chassis for the development of next-generation biocontrol strategies aimed at mitigating mycotoxin burden in agroecosystems.

Bacillus amyloliquefaciens↗
PubMed2024

Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes.

Monogenic diabetes is characterized as a group of diseases caused by rare variants in single genes. Like for other rare diseases, multiple genes have been linked to monogenic diabetes with different measures of pathogenicity, but the information on the genes and variants is not unified among different resources, making it challenging to process them informatically. We have developed an automated pipeline for collecting and harmonizing data on genetic variants linked to monogenic diabetes. Furthermore, we have translated variant genetic sequences into protein sequences accounting for all protein isoforms and their variants. This allows researchers to consolidate information on variant genes and proteins linked to monogenic diabetes and facilitates their study using proteomics or structural biology. Our open and flexible implementation using Jupyter notebooks enables tailoring and modifying the pipeline and its application to other rare diseases.

Humans↗
PubMed2026

Enterocutaneous Fistula-Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model.

BACKGROUND: Predicting enterocutaneous fistula (ECF)-associated sepsis and mortality poses significant challenges in digital health care due to the disease's complexity and heterogeneous clinical manifestations. Current approaches that rely on single-modal data or traditional scoring systems often fail to capture the intricate immune-inflammatory dynamics and multisystem involvement in patients with ECF. OBJECTIVE: This study aims to develop an artificial intelligence (AI)-driven multimodal fusion model integrating clinical, imaging, and transcriptomic data for early prediction of ECF-associated sepsis and 28-day mortality, addressing the limitations of conventional single-dimensional models. METHODS: This study leveraged publicly available datasets (Medical Information Mart for Intensive Care III [MIMIC-III], electronic Intensive Care Unit [eICU], and The Cancer Genome Atlas) to construct a multimodal framework. Clinical parameters were processed using Extreme Gradient Boosting, abdominal imaging features were extracted via convolutional neural networks, and transcriptomic profiles were analyzed with variational autoencoders. A Transformer-based fusion network was employed for joint prediction and validated through cross-validation and external testing. Key features were identified using Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretability algorithms, while immune regulatory mechanisms were explored via weighted gene co-expression network analysis. RESULTS: The multimodal model achieved an area under the curve (AUC) of 0.89 for predicting sepsis and 28-day mortality, outperforming unimodal models (clinical-only model, AUC 0.72, and imaging-only model, AUC 0.78). Critical predictors included Sequential Organ Failure Assessment score, lactate levels, intra-abdominal free fluid on imaging, and immunoregulatory genes (programmed death-ligand 1 [PD-L1] and indoleamine 2,3-dioxygenase 1 [IDO1]). Mechanistic analysis revealed distinct immune reprogramming in patients with sepsis, characterized by increased regulatory T cells and M2 macrophages, along with downregulated cluster of differentiation 8+ (CD8+) T cells. CONCLUSIONS: This multimodal AI model offers an innovative digital solution in medical informatics, enabling precise early risk stratification for ECF-associated sepsis. By integrating multisource data and providing interpretable insights into immune-inflammatory pathways, the model enhances health care quality for patients with ECF and paves the way for personalized intervention strategies.

Humans↗
PubMedDate not supplied

MUMPS as an education tool.

The department of Medical Informatics at the Free University is, in addition to research, responsible for the education of medical students in medical-information processing. The Department has a PDP 11/70 running part-time under MUMPS-11 V4B, and since 1978 has had a PDP 11/60. A set of medical education programs has been developed consisting of: (a) A simple introduction to MUMPS. (b) A patient-census module. (c) A neonatal module. (d) A dental data-base. In this paper the educational programs are outlined and examples of their use are given.

Bile Ducts↗
PubMed1992

A survey of videodisc and interactive videodisc projects in North America: Part I.

Selected videodisc (VD) and interactive videodisc (IVD) programs, projects and topics are presented in two articles in this and a subsequent issue of the journal. Part I reviews the impact of Information Science developments on image management. The American Society of Hematology Slide Bank and other specific applications in urology, paediatric neurology, obstetrical nursing, medical decision making, dental diagnosis and treatment (DDT), and paediatric cardiology, are reviewed as educational and informatics research projects. This is followed by a section on three-dimensional reconstructions of the brain which stresses digital images. Multi-purposing and repurposing are reviewed in two prototype programs. A discussion of the multidisciplinary Slice of Life projects completes this first article.

Computer Graphics↗
PubMed2026

RESCUE: An end-to-end multi-agent LLM system for proactive rare-disease patient screening in the EHR.

BACKGROUND: Rare diseases affect a significant portion of the global population, yet patients often endure a lengthy diagnostic odyssey, frequently missing the opportunity for timely diagnoses with exome or genome sequencing (ES/GS). Existing informatics tools often rely on pre-identified patients or rigid, institution-specific rule sets, failing to address the broader operational question of clinical utility and feasibility. METHODS: We introduce RESCUE (Rare Disease Detection and Escalation Support via a Learning Health System), an end-to-end, multi-agent LLM-powered workflow designed for proactive rare-disease diagnosis across the entire electronic health record (EHR). RESCUE utilizes a team of specialized agents including Ontology, Modeling, Screening, and Review, to automate the screening process to identify candidates for diagnostic testing based on their clinical features. The Ontology Agent classifies clinical data into a four-tier genetic-evidence taxonomy; the Modeling Agent builds a positive-unlabeled (PU) XGBoost classifier to identify potential cases; the Screening Agent applies these models across the EHR population; and the Review Agent evaluates candidates by sampling clinical notes to ensure medical necessity and operational feasibility for genomic testing. RESULTS: Using electronic medical record data from a pediatric hospital, our retrospective evaluation on a holdout set (n=12,591) demonstrates strong discrimination between patients who received diagnostic genomic testing and those who did not (AUC 0.808). Of nearly 500,000 patients in the institutional base, 175,842 met inclusion criteria for screening; among these, RESCUE-flagged candidates were 7.4-fold more likely to receive subsequent genomic assessments compared to controls. Blinded manual chart reviews confirmed that RESCUE identifies previously missed, medically appropriate patients for ES/GS with 80% precision, while simultaneously accounting for prior testing history. CONCLUSIONS: By decoupling expert roles into modular agents, RESCUE offers a flexible, scalable, and adaptable framework for screening patients for rare-disease diagnostic genomic testing. This approach overcomes the limitations of traditional rule-based methods and provides a reproducible, agentic pathway to reduce diagnostic delays and improve patient care at an institutional scale.

Journal Article↗
PubMedDate not supplied

The meaning of mental health: a report of two ethnoscientific studies.

The use of the ethnoscientific method in nursing research is demonstrated in an initial study and a replication of that study, utilizing male and female informants. The domain of "mental health" was explored, analyzed, and contrasted within the subculture of the central city resident and the subculture of the psychiatric-mental health professional. To facilitate an understanding of ethnoscience, the method is briefly outlined; then, to illustrate the methodology, data from one informat are presented in depth. A summary of the major similarities and contrasts that emerged from the data of both studies is presented. Implications for nursing of the research and ethnoscience are discussed.

Adult↗
PubMed1978

[Tele-electrosubcorticogram study of reactions to vestibular stimulation in neurosurgical clinical practice].

In connection with stereotactic examinations and operations, mainly in certain forms of epilepsy, the electro-subcorticogram under, vestibular stimulations was recorded by telemetry. The amount of informat ion obtained was analysed by electronic data processing. A number of vegetative parameters and the electro-oculogram could be recorded at the same time. Regular bioelectric reaction of the desynchronisation type or of the oscillation depression type were found. In the presence of focal or generalised convulsions, a weakening of the epileptic discharges were observed under labyrinthine stimulation. Also the sense of rotation leads to special influences. The method is also of importance for the postoperative phase as it represents an adaptation of the requirements of modern living conditions (acute accelerations, breaking and changes in direction). Finally, information about the dominance of interfocal relations can also be obtained.

Electroencephalography↗
PubMedDate not supplied

[Contribution of data processing in otospongiosis. Part I. Statistics on otospongiosis].

The use of data processing in their otology clinic allowed the authors a better approach to otospongiosis and to its treatment, thus completing the knowledge of the otospongiotic disease according to their enzymatic concept. An important material has been gathered since 1959 to the present (June 1, 1974), based on more than 16 000 stapedectomies and nearly 100 000 otology out-patients. It has been studied both through a conventional method and an informatic one on the computer of their clinic. Statistical data, apparently valuable, could be drawn from this mass of information for each patient, starting from his first consultation and following him through his secondary consultations, operation, immediate postoperative follow-up and various postoperative check-ups performed. It also takes into account the general state of the patient and all the accidents which may happen during a remote postoperative period. First of all, the authors give the data for these statistics established according to the systematization of the parameters for otospongiosis they have previously published in 1973. In the first part, they gather statistical data obtained about the otospongiotic disease itself, some of which differ from the classical notions of frequency or importance. These statistical conclusions confirm some percentages stated by other authors (predominance of the woman and of the white race, severity of the disease in the young, etc.), but differ in relation to the number of deafs, the percentage of unilateral otospongiosis in comparison, to the bilateral ones, the importance of pure cochlear otospongiosis, the separate valuation of audiometric stages and that of anatomic types, the relation between age and anatomic type, finally the respective frequency of pre-and postoperative vertigos. In the second part, which will be presented later, the authors will study the postoperative functional results obtained within a period of 15 years by stapedectomy according to three techniques. But the particularity of this study will be the fact that functional results will not be considered only from the operative point of view, but from the whole of the factors acting upon the functional result, i.e.: operative mechanical factor, otospongiotic cochlear component, finally general state of the patient. We will thus have a better knowledge of this very peculiar disease of the otic capsule, hat is otospongiosis, characterized by its two phases: a first lytic phase provoked by an enzymatic factor, then a second rebuilding phase according to a pseudo haversian process. During the long progression of the disease, these two phases intermingle and juxtapose much more than they follow each other in the course of time.

Adult↗
PubMed1992

[Electrocardiogram ambulatory monitoring: technological evolution and current prospectives].

The value of ambulatory ECG monitoring in the investigation of arrhythmic or ischemic events with paroxysmal patterns is well-known and its use is widespread. More recently, technical advances in informatics and in ECG signal digitizing have rapidly developed the current available ambulatory ECG instruments, reducing the time necessary for pattern analysis meanwhile assuring acceptable accuracy and reliability of the results. ECG recording techniques other than traditional Holter monitoring are now available such as transtelephonic transmission of ECG signal recorded in real time or previously stored in solid state memory by intermittent recorders that can be switched on by the patients himself at the first prodroms or at the end of the event. These "loop recorders" make it possible to indefinitely extend ECG monitoring time, reducing costs and increasing record sensitivity in comparison to conventional Holter monitoring. Moreover, recent technological development of Holter monitoring makes it possible to perform heart rate variability analysis and late potentials research in addition to traditional analysis of cardiac rate and ventricular repolarization. Thus Holter recording may become, combined with other usual risk factors, a polyparametrical non invasive approach to sudden cardiac death risk assessment characterised by low cost/benefit ratio and by large screening capacity.

Arrhythmias, Cardiac↗
PubMedDate not supplied

[The design of a personal computerized database].

The development of a personal data base about informatics and nursing for use on a microcomputer is presented. The advantages, effectiveness and problems involved with the construction of personal library, as well as the employed software and the references classification problems are discussed.

Computer Systems↗
PubMed1992

A fast track to IAIMS: the Vanderbilt University strategy.

In July 1991, Vanderbilt University Medical Center (VUMC) initiated a fast track approach to the implementation of an Integrated Academic Information Management System (IAIMS). The fast track approach has four elements: 1) an integrated organizational structure combining various operational information management units and the academic informatics program into a single entity to enhance efficiency; 2) technology transfer and network access to remote resources in preference to de novo development; 3) parallel IAIMS planning and infrastructure construction; 4) restriction of the scope of the initial IAIMS to permit a manageable implementation project. The fast track approach is intended to provide a truly functional IAIMS within a time period (7 years) associated with other major construction projects such as the building of a replacement hospital.

Integrated Advanced Information Management Systems↗
PubMedDate not supplied

[The University of Zagreb Medical School and the war in Croatia 1991-1992].

School of Medicine, University of Zagreb (as an institution as well as through the efforts of individual faculty and staff members) has actively participated in all the phases of the war against Croatia: the preparatory phase (1990 and the first half of 1991), the phase of local war (July and August 1991) and the phase of total war (September 1991 to January 1992). In defense preparations, leading faculty members, supervised by the Croatian Government, have: 1. prepared the University hospitals for the case of mass casualties, 2. initiated donation of essential medical supplies and equipment, and 3. prepared the preclinical staff and facilities for research, documentation and information services for Crisis management. On July 11, 1992, Ministry of Health of the Republic of Croatia formed the Medical Headquarters to coordinate the health services in the defense of Croatia. Several faculty members were appointed heads of the following Headquarters divisions: Division of Informatics and Research, Division of Education and Publicity, Division of Toxicology, The Fourth Echelon, Division of Mental Health and Division of Rehabilitation. Assistant lecturers, technicians and students actively joined work in the Division of Donations, which acquired and provided almost all medical supplies used in our battlefields and hospitals.(ABSTRACT TRUNCATED AT 250 WORDS)

Croatia↗
PubMed1992

Developing outcome standards for quality assurance activities.

When quality assurance programmes began to develop actively, 20 or so years ago, information connecting outcome and process was very scanty. However, with the development of the field of health care technology assessment, there is now much information on efficacy that has not been applied in the field to improve quality. At the same time, patient's satisfaction with care is coming to be seen as a valid measure of outcome of care. On the other hand, process measures of quality developed by practitioners working with a particular problem are often of doubtful validity, and could even be harmful. Increasingly, quality assurance programmes will be based on outcomes of care, or on process measures that have been linked clearly to outcome. Informatics can contribute to quality assurance in two ways. One is in the development of information on efficacy and safety of care through data banks, such as those reporting hospital death rates or insurance claims data. The other is to monitor outcomes of care directly. Up until now, technology assessment and quality assurance have developed as largely independent activities. A constructive approach to developing systems of quality assurance would be to incorporate technology assessment as part of the development of guidelines for quality assurance programmes.

Adult↗
PubMed1992

The HOME microscope workstation. A new tool for cervical cancer screening.

The Highly Optimized Microscope Environment (HOME) is a computerized microscope design for assisting pathologists and cytotechnologists in routine clinical tasks. The prototype system consists of an IBM PC-compatible computer and a light microscope in which a built-in high-resolution computer display image is super-imposed on the optical image of the specimen. Also, an encoding stage and objective turret encoder are used to provide continuous monitoring of the stage coordinates and microscope magnification to the computer. This allows any position on the stage to be uniquely defined. Software, written in C language and running under the MS-DOS/MS-Windows environment, is controlled by means of a mouse-driven cursor. A specific application has been developed for cervical cancer screening, taking into account the needs and constraints of microscopists performing this task. Informatics tools offered by the HOME system provide them with precise flagging and relocation of objects on the slide, control of the scanning pathway, and ability to write and print the report directly through the microscope. The computer files generated by microscopic examination are stored and contain information available for quality control assessment and laboratory management.

Cytodiagnosis↗