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Lab-on-the-Needles: A Microneedle Patch-Based Mobile Unit for Highly Sensitive and Detection of Protein Biomarkers.
ACS Nano
January 2025
Department of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
Detection of biomarkers associated with physiological conditions provides critical insights into healthcare and disease management. However, challenges in sampling and analysis complicate the detection and quantification of protein biomarkers within the epidermal layer of the skin and in viscous liquid biopsy samples. Here, we present the "Lab-on-the-Needles" concept, utilizing a microneedle patch-based sensing box (MNP-based SenBox) for mobile healthcare applications.
View Article and Find Full Text PDFPolysomnographic titration of non-invasive ventilation in motor neurone disease (3TLA): study protocol for a randomised controlled trial.
Trials
January 2025
Department of Physiotherapy, Melbourne School of Health Science, University of Melbourne, Melbourne, Australia.
Background: Non-invasive ventilation (NIV) uses positive pressure to assist people with respiratory muscle weakness or severe respiratory compromise to breathe. Most people use this treatment during sleep when breathing is most susceptible to instability. The benefits of using NIV in motor neurone disease (MND) are well-established.
View Article and Find Full Text PDFThe impact of age on comparative diagnostic accuracy of temporal artery thermometers and non-contact infrared thermometers for fever detection: a systematic review and meta-analysis.
BMC Infect Dis
January 2025
School of Nursing, China Medical University, 100, Sec. 1, Jingmao Rd, Taichung, 406040, Taiwan.
Background: Non-invasive temporal artery thermometers (TATs) and non-contact infrared thermometers (NCITs) are increasingly used in community settings to measure body temperature. Existing research predominantly focuses on pediatric populations, yet the accuracy and precision of TATs and NCITs for fever screening across age groups remain unclear. This study aims to assess age-related differences in the diagnostic accuracy of TATs and NCITs for fever detection.
View Article and Find Full Text PDFArtificial intelligence-enhanced navigation for nerve recognition and surgical education in laparoscopic colorectal surgery.
Surg Endosc
January 2025
Department of Digestive Surgery, Kawaguchi Municipal Medical Center, Kawaguchi City, Saitama, 180, Nishiaraijuku333-0833, Japan.
Background: Devices that help educate young doctors and enable safe, minimally invasive surgery are needed. Eureka is a surgical artificial intelligence (AI) system that can intraoperatively highlight loose connective tissues (LCTs) in the dissected layers and nerves in the surgical field displayed on a monitor. In this study, we examined whether AI navigation (AIN) with Eureka can assist trainees in recognizing nerves during colorectal surgery.
View Article and Find Full Text PDFArtificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Commun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
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