Published: Sept. 19, 2024
Language: Английский
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: March 11, 2025
Abstract Respiratory viral infections pose a significant global public health challenge, partly due to the difficulty in rapidly and accurately distinguishing between viruses with similar symptoms at point of care, hindering timely appropriate treatment limiting effective infection control prevention efforts. Here, we developed multiplexed, non- invasive saliva-based, reverse transcription loop-mediated isothermal amplification (RT- LAMP) test that enables simultaneous detection three most common respiratory infections, severe acute syndrome coronavirus 2 (SARS-CoV-2), Influenza (Flu), syncytial virus (RSV), single reaction via specific probes monitored real-time by machine-learning-enabled compact analyzer. Our results demonstrate multiplexed assay can effectively detect target RNAs high accuracy. Further, testing spiked saliva samples showed strong agreement polymerase chain (RT-PCR) assay, area under curve (AUC) values 0.82, 0.93, 0.96 for RSV, Influenza, SARS-CoV-2, respectively. By enabling rapid from easily collected device presented here offers practical efficient tool improving outcomes helping prevent spread contagious diseases. Significance This research presents an innovative approach diagnostics combining one-pot molecular machine learning-based analysis simultaneously RSV samples. The battery- powered portable analyzer features novel machine-learning-assisted fluorescence reporter quantification, eliminating need traditional filter- based optical components adaptation new targets without hardware changes. demonstrates accuracy detecting co-infections samples, providing rapid, cost-effective point-of-need solution. expand access, improve patient outcomes, support more disease control, particularly resource-limited or decentralized healthcare settings.
Language: Английский
Citations
0
ACS Sensors, Journal Year: 2025, Volume and Issue: unknown
Published: March 19, 2025
With the goal of impacting patient quality life and outcomes, sensor science offers significant potential to revolutionize healthcare by providing advances in detection molecular biomarkers for personalized clinical technologies. The community has achieved technical advancements that can impact diagnostics, health monitoring, disease treatment; however, many innovations remain confined laboratory, failing bridge translational gap between research real-world applications. This perspective presents a new direction community, where development centers on needs experiences primary beneficiaries: patients. We provide guidelines resources researchers engage with patients early continuously throughout process inform specifications better align technologies needs, improving their adoption impact. also present examples implementing patient-centered approach planning engagement research. In design impactful sensors patients, must expand focus beyond embrace approach, which will likely lead opportunities collaboration evolution community.
Language: Английский
Citations
0
Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: May 2, 2025
Over the years, evolution of point-of-care testing (POCT) has been driven by technological advancements in materials, design, and artificial intelligence, as well breakthrough developments wearable technologies. These innovations are shifting diagnostics from centralized medical facilities to individual homes, meeting growing demand for personalized healthcare. This Review explores recent binding-based assay technologies over past two focusing on platforms such traditional flow assays (lateral vertical flow), fully integrated microfluidic devices, biosensor-integrated systems POCT applications. It emphasizes role optical electrochemical detection methods, which essential ensuring sensitivity, specificity, reliability required a POCT. offer advantages including ease use, high diagnostic accuracy, rapid clinical assessment, cost-effectiveness manufacturing consumables. Additionally, highlights current challenges future perspectives delivering healthcare through portable that operate sample-in, result-out basis.
Language: Английский
Citations
0
Trends in biotechnology, Journal Year: 2025, Volume and Issue: unknown
Published: May 1, 2025
Language: Английский
Citations
0
ACS Sensors, Journal Year: 2024, Volume and Issue: 9(12), P. 6605 - 6620
Published: Dec. 4, 2024
Continuous and comprehensive brain monitoring is crucial for timely identification of changes or deterioration in function, enabling prompt intervention personalized treatments. However, existing systems struggle to offer continuous accurate multiple biomarkers simultaneously. This study introduces a multiplexed optical fiber sensing system simultaneous six cerebrospinal fluid (CSF) using tip-functionalized fibers computational algorithms. Optimized machine learning models are developed integrated real-time spectra analysis, allowing precise readout biomarker concentrations. The learning-assisted optic exhibits high sensitivity (0.04, 0.38, 0.67, 2.62, 0.0064, 0.33 I/I0 change per units temperature, dissolved oxygen, glucose, pH, Na+, Ca2+, respectively), reversibility, selectivity toward target with total diameter less than 2.5 mm. By metabolic ionic dynamics, this accurately identified physiology recovery ex vivo traumatic injury models. Additionally, the successfully tracked fluctuations clinical CSF samples accuracy (R2 > 0.93), demonstrating excellent reflecting disease progression real time. These findings underscore enormous potential automated intraoperative postoperative physiologies.
Language: Английский
Citations
0
Published: Sept. 19, 2024
Language: Английский
Citations
0