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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

Cost-Effectiveness Analysis of Pan-Genotypic Sofosbuvir-Based Regimens for Treatment of Chronic Hepatitis C Genotype 1 Infection in China

Hui Jun Zhou, Jing Cao, Hui Shi, Nasheen Naidoo et al. • Frontiers in Public Health (2021)

Background: Hepatitis C virus (HCV) genotype 1 is the most prevalent HCV infection in China. Sofosbuvir-based direct antiviral agent (DAA) regimens are the current mainstays of treatment. Sofosbuvir/velpatasvir (SOF/VEL) and sofosbuvir/ledi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2021.779215

Advances in High Throughput Proteomics Profiling in Establishing Potential Biomarkers for Gastrointestinal Cancer

Md Zahirul Islam Khan, Shing Yau Tam, Helen Ka Wai Law • Cells (2022)

Gastrointestinal cancers (GICs) remain the most diagnosed cancers and accounted for the highest cancer-related death globally. The prognosis and treatment outcomes of many GICs are poor because most of the cases are diagnosed in advanced me...

DOAJ Open Access (DOAJ) DOI: 10.3390/cells11060973

The Downregulation of eIF3a Contributes to Vemurafenib Resistance in Melanoma by Activating ERK via PPP2R1B

Shi-Long Jiang, Shi-Long Jiang, Zhi-Bin Wang, Zhi-Bin Wang et al. • Frontiers in Pharmacology (2021)

Vemurafenib, a BRAF V600E inhibitor, provides therapeutic benefits for patients with melanoma, but the frequent emergence of drug resistance remains a challenge. An understanding of the mechanisms underlying vemurafenib resistance may gener...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphar.2021.720619

Health Technologies 'In the Wild'

Stefan Rennick‐Egglestone, Sarah E. Knowles, Gill R. Toms, Penny Bee et al. • CHI Conference on Human Factors in Computing Systems (2016)

The widespread deployment of technology by professional health services will provide a substantial opportunity for studies that consider usage in naturalistic settings. Our study has documented experiences of engaging with technologies inte...

OPENALEX Open Access DOI: https://doi.org/10.1145/2858036.2858128

The Colorectal Cancer Screening Programme in the Basque Country: obtaining a good performance by means of professional collaboration

Isabel Portillo, Isabel Idigoras, Isabel Bilbao, Jose Luis Hurtado et al. • International Journal of Integrated Care (2019)

Introduction: The Basque Health Service approved the Colorectal Cancer (CRC) screening programme in 2008; targeted at residents (50 to 69 years old) estimated 598,201 by biennial faecal immunochemical test (FIT) and colonoscopy in positive ...

DOAJ Open Access (DOAJ) DOI: 10.5334/ijic.s3166

Demonstration of high value care to improve oral health of a remote Indigenous community in Australia

Sanjeewa Kularatna, Ratilal Lalloo, Jeroen Kroon, Santosh K. K. Tadakamadla et al. • Health and Quality of Life Outcomes (2020)

Abstract Background The oral health of Indigenous children in remote communities is much worse than other population groups in Australia. Providing and maintaining an oral health service is challenging due to the remoteness of communities, ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-020-01300-8

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

Web-based versus simulation-based refresher training in newborn life support

Kathleen Parthey, Anne Goldhahn, Anselm Linke, Katja Raberger et al. • Resuscitation Plus (2026)

Background: Regular training for healthcare professionals in newborn life support is life-saving. Web-based refresher has the potential to be non-inferior to simulation-based refresher training. Methods: The multicenter non-inferiority rand...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.resplu.2026.101382

A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study

Christopher J Brady, R Chase Cockrell, Lindsay R Aldrich, Meraf A Wolle et al. • Journal of Medical Internet Research (2023)

BackgroundAs trachoma is eliminated, skilled field graders become less adept at correctly identifying active disease (trachomatous inflammation—follicular [TF]). Deciding if trachoma has been eliminated from a district or if treatment strat...

DOAJ Open Access (DOAJ) DOI: 10.2196/41233

‘Optimal’ cutoff selection in studies of depression screening tool accuracy using the PHQ‐9, EPDS, or HADS‐D: A meta‐research study

Eliana Brehaut, Dipika Neupane, Brooke Levis, Yin Wu et al. • International Journal of Methods in Psychiatric Research (2023)

Abstract Objectives Optimal cutoff thresholds are selected to separate ‘positive’ from ‘negative’ screening results. We evaluated how depression screening tool studies select optimal cutoffs. Methods We included studies from previously cond...

DOAJ Open Access (DOAJ) DOI: 10.1002/mpr.1956

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Metabolic Flexibility to Predict Lifestyle Interventions Outcomes (MEPHISTO): Protocol for Predictive Validation Study and Randomized Controlled Trial

Monika Ludlova, Kateřina Koudelková, Jitka Pallova, Barbora Koudelkova et al. • JMIR Research Protocols (2025)

BackgroundWeight loss is a cornerstone of obesity treatment and diabetes mellitus type 2 (T2D) prevention, but its implementation in clinical practice is limited by its perceived burden and variability in response. Personalizing interventio...

DOAJ Open Access (DOAJ) DOI: 10.2196/67570

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis

Michael Barnett, Dongang Wang, Heidi Beadnall, Antje Bischof et al. • npj Digital Medicine (2023)

Abstract Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologis...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-023-00940-6

Central vein sign: A diagnostic biomarker in multiple sclerosis (CAVS-MS) study protocol for a prospective multicenter trial

D. Ontaneda, P. Sati, P. Raza, M. Kilbane et al. • NeuroImage: Clinical (2021)

The specificity and implementation of current MRI-based diagnostic criteria for multiple sclerosis (MS) are imperfect. Approximately 1 in 5 of individuals diagnosed with MS are eventually determined not to have the disease, with overrelianc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102834

The Effectiveness of Digital Therapeutics Intervention in Oral Anticoagulation Management: A Systematic Review and Meta-analysis

Jiayue Guo, MPH, Lili You, PhD, Lu Liu, MPH, Xitong Jiao, MPH et al. • Mayo Clinic Proceedings: Digital Health (2026)

Objective: To summarize the key intervention characteristics and evaluate the effectiveness and safety of digital therapeutics (DTx) in patients receiving oral anticoagulation, with effectiveness evaluated using time in therapeutic range (T...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mcpdig.2026.100336

Percutaneous CT-Guided Bone Lesion Biopsy for Confirmation of Bone Metastases in Patients with Breast Cancer

Lucija Kovacevic, Mislav Cavka, Zlatko Marusic, Elvira Kresic et al. • Diagnostics (2022)

We aimed to determine diagnostic accuracy of CT-guided bone lesion biopsy for the confirmation of bone metastases in patients with breast cancer and assessment of hormone receptor status in metastatic tissue. A total of 56 female patients w...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics12092094

NeuroDiag: Software for Automated Diagnosis of Parkinson’s Disease Using Handwriting

Quoc Cuong Ngo, Nicole McConnell, Mohammod Abdul Motin, Barbara Polus et al. • IEEE Journal of Translational Engineering in Health and Medicine (2024)

Objective: A change in handwriting is an early sign of Parkinson’s disease (PD). However, significant inter-person differences in handwriting make it difficult to identify pathological handwriting, especially in the early stages. Thi...

DOAJ Open Access (DOAJ) DOI: 10.1109/JTEHM.2024.3355432