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A Benzimidazole-Based N-Heterocyclic Carbene Derivative Exhibits Potent Antiproliferative and Apoptotic Effects against Colorectal Cancer

Sarah Al-Nasser, Maha Hamadien Abdulla, Noura Alhassan, Mansoor-Ali Vaali-Mohammed et al. • Medicina (2024)

Background and Objectives: Colorectal cancer (CRC) remains a major global health issue. Although chemotherapy is the first-line treatment, its effectiveness is limited due to drug resistance developed in CRC. To overcome resistance and impr...

DOAJ Open Access (DOAJ) DOI: 10.3390/medicina60091379

Health technology sourcebook

Greg Mullin • International Linear Collider (2018)

Provides consumer health information about the application of science to develop solutions to health problems or issues such as the prevention or delay of onset of diseases or the promotion and monitoring of good health. Includes index, glo...

OPENALEX

The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review

Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, Uttandaraman Sundararaj • Sensors (2023)

Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring...

OPENALEX cc-by DOI: https://doi.org/10.3390/s23239498 PMC: 10708748

Barriers and facilitators of retention in care after cervical cancer screening: patients’ and healthcare providers’ perspectives

Judith Owokuhaisa, Eleanor Turyakira, Frank Ssedyabane, Deusdedit Tusubira et al. • BMC Women's Health (2024)

Abstract Background Cervical cancer continues to threaten women’s health, especially in low-resource settings. Regular follow-up after screening and treatment is an effective strategy for monitoring treatment outcomes. Consequently, underst...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12905-024-03343-1

Emerging New Era of Mobile Health Technologies

Young‐Taek Park • Healthcare Informatics Research (2016)

medical records [6].Patients are also able to reduce their direct and indirect healthcare costs through reduction of the need for healthcare clinic visits or hospitalization [7,8].Regarding mHealth, there is an international conference, "mH...

OPENALEX cc-by-nc DOI: https://doi.org/10.4258/hir.2016.22.4.253 PMC: 5116535

Innovative polymer-based electrochemical platform for detecting ESAT-6 in human blood for pulmonary tuberculosis diagnosis

Xiu-An Ye, Shu-Hong Lin, Liang-Yu Chen, Jie-Ren Li et al. • Sensing and Bio-Sensing Research (2025)

Pulmonary tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), necessitates early diagnosis for effective patient care. Despite advancements in TB diagnostics, there remains an urgent need to discover innovative non-sputum-based m...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.sbsr.2025.100816

HEALTH TECHNOLOGY REASSESSMENT: THE ART OF THE POSSIBLE

Gail MacKean, Tom Noseworthy, Adam G. Elshaug, Laura E. Leggett et al. • International Journal of Technology Assessment in Health Care (2013)

BACKGROUND: Health technology reassessment (HTR) is "a structured, evidence-based assessment of the clinical, social, ethical, and economic effects of a technology currently used in the healthcare system, to inform optimal use of that techn...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.1017/s0266462313000494 PMC: 3846380

Are Key Principles for improved health technology assessment supported and used by health technology assessment organizations?

The International Working Group for HTA Advancement, Peter J. Neumann, Michael Drummond, Bengt Jönsson et al. • International Journal of Technology Assessment in Health Care (2010)

Previously, our group-the International Working Group for HTA Advancement-proposed a set of fifteen Key Principles that could be applied to health technology assessment (HTA) programs in different jurisdictions and across a range of organiz...

OPENALEX DOI: https://doi.org/10.1017/s0266462309990833

Celebratory Health Technology

Andrea G. Parker, Richard H. R. Harper, Rebecca E. Grinter • Journal of Diabetes Science and Technology (2011)

There are numerous everyday health technologies (applications designed for people to use in their daily lives) that promote healthy eating habits. From educational games to monitoring applications, these systems often take a corrective appr...

OPENALEX Open Access DOI: https://doi.org/10.1177/193229681100500218 PMC: 3125923

Health technology assessment to optimize health technology utilization: Using implementation initiatives and monitoring processes

Katrine Bjørnebek Frønsdal, Karen M. Facey, Marianne Klemp, Inger Natvig Norderhaug et al. • International Journal of Technology Assessment in Health Care (2010)

BACKGROUND: The way in which a health technology is used in any particular health system depends on the decisions and actions of a variety of stakeholders, the local culture, and context. In 2009, the HTAi Policy Forum considered how health...

OPENALEX Open Access DOI: https://doi.org/10.1017/s0266462310000309

Distributed Bragg reflectors for the colorimetric detection of bacterial contaminants and pollutants for food quality control

Giuseppe M. Paternò, Giovanni Manfredi, Francesco Scotognella, Guglielmo Lanzani • APL Photonics (2020)

Real-time monitoring of bacterial contaminants and pollutants in food is of paramount importance nowadays, owing to the impressive extension of the food production/supply chain and the consequent increase in foodborne outbreaks worldwide. T...

DOAJ Open Access (DOAJ) DOI: 10.1063/5.0013516

The effectiveness of M-health technologies for improving health and health services: a systematic review protocol

Caroline Free, Gemma Phillips, Lambert M. Felix, Leandro Galli et al. • BMC Research Notes (2010)

BACKGROUND: The application of mobile computing and communication technology is rapidly expanding in the fields of health care and public health. This systematic review will summarise the evidence for the effectiveness of mobile technology ...

OPENALEX cc-by DOI: https://doi.org/10.1186/1756-0500-3-250 PMC: 2976743

Designing mobile health technology for bipolar disorder

Jakob E. Bardram, Mads M. Frost, Károly Szántó, Maria Faurholt‐Jepsen et al. • CHI Conference on Human Factors in Computing Systems (2013)

An increasing number of pervasive healthcare systems are being designed, that allow people to monitor and get feedback on their health and wellness. To address the challenges of self-management of mental illnesses, we have developed the MON...

OPENALEX DOI: https://doi.org/10.1145/2470654.2481364

SARS and Population Health Technology

Günther Eysenbach • Journal of Medical Internet Research (2003)

The recent global outbreak of SARS (severe acute respiratory syndrome) provides an opportunity to study the use and impact of public health informatics and population health technology to detect and fight a global epidemic. Population healt...

OPENALEX cc-by DOI: https://doi.org/10.2196/jmir.5.2.e14 PMC: 1550560

Assessing Acceptance and Intention to Use of Home Telemonitoring Among Patients with Liver Cirrhosis: Development and Initial Psychometric Validation of a TAM-Based Questionnaire

Ruxandra-Cristina Marin, Horia Păunescu, Călin Muntean, Daniel Vasile Balaban et al. • Diagnostics (2026)

Background/Objectives: Liver cirrhosis (LC) is a major cause of morbidity and mortality requiring continuous monitoring and early recognition of clinical deterioration. Home telemonitoring is increasingly considered a supportive strategy fo...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics16162635

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics (2026)

Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101761