Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm

Int J Environ Res Public Health. 2022 Jun 8;19(12):6999. doi: 10.3390/ijerph19126999. ABSTRACT The rapid growth of mHealth applications for Type 2 Diabetes Mellitus (T2DM) patients’ self-management has motivated the evaluation of these applications from both the usability and user point of view. The objective of this study was to identify mHealth applications that focus on […]

Unmet Information Needs of Patients with Rheumatic Diseases: Results of a Cross-Sectional Online Survey Study in Germany

Int J Environ Res Public Health. 2022 Jun 9;19(12):7071. doi: 10.3390/ijerph19127071. ABSTRACT To effectively self-manage a chronic disease, patients require specific education. In clinical routines, rheumatologists and other healthcare professionals often cannot devote the necessary time to adequately educate their patients. Digital technologies such as mobile applications represent promising tools to overcome this problem. This […]

Users’ passivity in accessing digested scientific evidence through social media: cross-sectional insights

BMC Res Notes. 2022 Jun 23;15(1):218. doi: 10.1186/s13104-022-06089-x. ABSTRACT OBJECTIVES: This manuscript provides novel insights about the potential use of social media (a Facebook page, the first strategic attempt by EviDent initiative) to share evidence-based dentistry content and empowerment strategies for professionals, using quantifiable usage metrics, besides exposing the strengths and weaknesses of this knowledge […]

Epidemic management and control through risk-dependent individual contact interventions

PLoS Comput Biol. 2022 Jun 23;18(6):e1010171. doi: 10.1371/journal.pcbi.1010171. eCollection 2022 Jun. ABSTRACT Testing, contact tracing, and isolation (TTI) is an epidemic management and control approach that is difficult to implement at scale because it relies on manual tracing of contacts. Exposure notification apps have been developed to digitally scale up TTI by harnessing contact data […]

Compact Smartphone-Based Laser Speckle Contrast Imaging Endoscope Device for Point-of-Care Blood Flow Monitoring

Biosensors (Basel). 2022 Jun 9;12(6):398. doi: 10.3390/bios12060398. ABSTRACT Laser speckle contrast imaging (LSCI) is a powerful visualization tool for quantifying blood flow in tissues, providing simplicity of configuration, ease of use, and intuitive results. With recent advancements, smartphone and camera technologies are suitable for the development of smartphone-based LSCI applications for point-of-care (POC) diagnosis. A […]

SMART-LAMP: A Smartphone-Operated Handheld Device for Real-Time Colorimetric Point-of-Care Diagnosis of Infectious Diseases via Loop-Mediated Isothermal Amplification

Biosensors (Basel). 2022 Jun 16;12(6):424. doi: 10.3390/bios12060424. ABSTRACT Nucleic acid amplification diagnostics offer outstanding features of sensitivity and specificity. However, they still lack speed and robustness, require extensive infrastructure, and are neither affordable nor user-friendly. Thus, they have not been extensively applied in point-of-care diagnostics, particularly in low-resource settings. In this work, we have combined […]

From a Chemotherapeutic Drug to a High-Performance Nanocatalyst: A Fast Colorimetric Test for Cisplatin Detection at ppb Level

Biosensors (Basel). 2022 May 30;12(6):375. doi: 10.3390/bios12060375. ABSTRACT A rapid point-of-care method for the colorimetric detection of cisplatin was developed, exploiting the efficient conversion of the chemotherapeutic drug into a high-performance nanocatalyst with peroxidase enzyme mimics. This assay provides high specificity and ppb-detection sensitivity with the naked eye or a smartphone-based readout, outperforming many standard […]

Ensem-HAR: An Ensemble Deep Learning Model for Smartphone Sensor-Based Human Activity Recognition for Measurement of Elderly Health Monitoring

Biosensors (Basel). 2022 Jun 7;12(6):393. doi: 10.3390/bios12060393. ABSTRACT Biomedical images contain a huge number of sensor measurements that can provide disease characteristics. Computer-assisted analysis of such parameters aids in the early detection of disease, and as a result aids medical professionals in quickly selecting appropriate medications. Human Activity Recognition, abbreviated as ‘HAR’, is the prediction […]