A5084522362- Biomedical Text Mining and Ontologies
- Data-Driven Disease Surveillance
- Artificial Intelligence in Healthcare and Education
- Misinformation and Its Impacts
- Biomedical and Engineering Education
- Vaccine Coverage and Hesitancy
- Zoonotic diseases and public health
- Bioinformatics and Genomic Networks
- Radiomics and Machine Learning in Medical Imaging
- Gene expression and cancer classification
- Research Data Management Practices
- Semantic Web and Ontologies
- Electronic Health Records Systems
- Health Literacy and Information Accessibility
- Explainable Artificial Intelligence (XAI)
- Digital Transformation in Industry
- Chronic Disease Management Strategies
- Mobile Health and mHealth Applications
- Ethics in Clinical Research
- Diabetes Management and Research
- Social Media in Health Education
- Attention Deficit Hyperactivity Disorder
- COVID-19 diagnosis using AI
- Food Supply Chain Traceability
- Medication Adherence and Compliance
Holon Institute of Technology
2018-2024
European Society for Medical Oncology
2019-2024
Digital Health Cooperative Research Centre
2023
Boston University
2022
Quest University Canada
2022
University of Latvia
2022
Clalit Health Services
2015-2020
Technion – Israel Institute of Technology
2020
Group Health Cooperative
2019
Center for Neuro-Oncology
2016
ABSTRACT Adipose tissue produces inflammation and immunity molecules suspected to be involved in obesity‐related complications. The pattern of expression the nutritional regulation these humans are poorly understood. We analyzed gene profiles subcutaneous white adipose from 29 obese subjects during very low calorie diet (VLCD) using cDNA microarray reverse transcription quantitative PCR. patterns were compared with that 17 non‐obese subjects. determined whether regulated genes expressed...
One Digital Health is a proposed unified structure. The conceptual framework of the Steering Wheel built around two keys (ie, and digital health), three perspectives individual health well-being, population society, ecosystem), five dimensions citizens’ engagement, education, environment, human veterinary care, Healthcare Industry 4.0). aims to digitally transform future ecosystems, by implementing systemic life sciences approach that takes into account broad technology on health, animal...
Political and public health leaders promoting COVID-19 vaccination should identify the most relevant criteria driving decision. Social media is increasingly used as a source of data powerful communication tool to increase vaccination. In December 2020, we performed cross-sectional social media-based survey addressing personal sentiments toward in USA. Our primary research objective socio-demographic characteristics reasons for 1644 participants’ attitudes regarding We present clear evidence...
Background Vaccines are one of the most important achievements modern medicine. However, their acceptance is only partial, with vaccine hesitancy and refusal representing a major health threat. Influenza vaccines have low compliance since repeated, annual vaccination required. stimulate discussions both in real world online. Social media currently significant source medical information. Elucidating association between social engagement influenza may be applicable to other vaccines, including...
Innovation models are key to fostering technology-focused entrepreneurship in higher education institutions (HEIs). These create dynamic environments that encourage collaboration, creativity, and problem-solving skills among students faculty. HEIs face several challenges entrepreneurship, including allocating sufficient financial human resources, integrating across disciplines, managing intellectual property. Overcoming these requires cultivate an entrepreneurial culture establish strong...
ABSTRACT The molecular mechanisms by which obesity increases the risk of cardiovascular diseases are poorly understood. purpose this study was to identify candidate biomarkers overexpressed in adipose tissue obese subjects that could link expanded fat mass atherosclerosis. We compared gene expression profile subcutaneous (scWAT) 28 and 11 lean using microarray technology. This analysis identified 240 genes significantly scWAT subjects. were then ranked according correlation between body...
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus failing to adequately measure scientific progress and hindering translation of ML techniques into practice. To overcome this, our large international expert consortium created Metrics Reloaded, a comprehensive framework guiding researchers...
OBJECTIVE Bevacizumab is an antiangiogenic agent under investigation for use in patients with high-grade glioma. It produces a high rate of radiological response; however, this response should be interpreted caution because it may reflect normalization the tumor vasculature and not necessarily true antitumor effect. The authors previously demonstrated that 4 hypoxia-mediated microRNAs (miRNA)—miR-210, miR-21, miR-10b, miR-196b—are upregulated glioma as compared normal brain tissue....
Smart cities and digital public health are closely related. Managing transformation in urbanization living spaces is challenging. It critical to prioritize the emotional physical well-being of humans their animals dynamic ever-changing environment they share. Human-animal bonds continuous as live together or share urban have a mutual impact on each other's well surrounding environment. In addition, sensors embedded Internet Things everywhere smart cities. They monitor events provide...
Training the next generation of industrial engineers and managers is a constant challenge for academia, given fast changes technology. The current predicted development trends in applied technologies affecting industry worldwide as formulated Industry 4.0 initiative have clearly emphasized needs constantly adapting curricula. sensible socioeconomic generated by COVID-19 pandemic induced significant challenges to society general industry. Higher education, specifically when dealing with 4.0,...
Diagnosis of children with attention-deficit/hyperactivity disorder (ADHD) is increasing. The present study sought to identify characteristics and medication treatment patterns ADHD compare them by relative age in class, sex, ethnicity, family size, sibling order, other socioeconomic status, as well find trends disparity pharmacotherapy.This was based on data from 1 013 149 Clalit Health Services members aged 6-17 years during 2006-2011. Centrally acting sympathomimetic drug purchases were...
The COVID-19 pandemic challenges healthcare services. Concomitantly, this had a stimulating effect on technological expansions related to telehealth and telemedicine. We sought elucidate the principal patients' reasons for using telemedicine during propensity use it thereafter. Our primary objective was identify of survey participants' disparate attitudes toward performed an online, multilingual 30-question 14 days March-April 2021, focusing perception usage their intent after pandemic....
Even if English is the leading language for international communication, it essential to keep in mind that research runs at local level by teams generally communicating their local/national language, especially Europe among European projects. Therefore, Federation Medical Informatics - Working Group on Health Inter-regional Cooperation" has one objective: To develop a multilingual ontology focusing and Digital as collaboration tool improves and, particular, collaborations. We have developed...
Abstract Santé Numérique Rouen-Nice (SaNuRN; “Digital Health Rouen-Nice” in English) is a 5-year project by the University of Rouen Normandy (URN) and Côte d’Azur (CAU) consortium to optimize digital health education for medical paramedical students, professionals, administrators. The includes skills framework, training modules, teaching resources. In 2027, SaNuRN expected train significant portion 400,000 students at French national level. Our purpose give synopsis initiative, emphasizing...
The stress hormone epinephrine produces major physiological effects on skeletal muscle. Here we determined muscle mRNA expression profiles before and during a 6-h infusion performed in nine young men. Stringent statistical analysis of data obtained using 43,000 cDNA element microarrays showed that 1206 474 genes were up- down-regulated, respectively. Microarray validated reverse transcription quantitative PCR. Gene classification was through mining Ontology annotations, cluster regulated...
One Digital Health (ODH) aims to propose a framework that merges Health's and specific features into an innovative landscape. FAIR (Findable, Accessible, Interoperable, Reusable) principles consider applications computational agents (or, in other terms, data, metadata, infrastructures) as stakeholders with the capacity find, access, interoperate, reuse data none or minimal human intervention.This paper elicit how ODH is compliant metrics, providing some thinking guide investigate define...
Climate changes are the major challenge in public and individual health, as they modify ecosystem yield contagious diseases from animal to human. Furthermore, we notice rapid development of elderly, changing population demographic. These critical measures have imposed economical costs, require trained personnel, reduce healthcare systems' performances.
This paper addresses the problem of improving accuracy in machine-learning task classification from microarray data. One known issues specifically related to data is large number inputs (genes) versus small available samples (conditions). A promising direction research decrease generalization error algorithms perform gene selection so as identify those genes which are potentially most relevant for classification. Classical feature methods based on direct statistical methods. We present a...
While the importance of automatic image analysis is continuously increasing, recent meta-research revealed major flaws with respect to algorithm validation. Performance metrics are particularly key for meaningful, objective, and transparent performance assessment validation used algorithms, but relatively little attention has been given practical pitfalls when using specific a task. These typically related (1) disregard inherent metric properties, such as behaviour in presence class...