Results 121 to 130 of about 1,610,528 (267)
Wearable Sensors for Health Monitoring. [PDF]
Abreu C, Bédard C, Lourme JC, Piro B.
europepmc +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source
Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis. [PDF]
Kim D, Ahmed SS, Amjad A, Won K, Xian X.
europepmc +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Developments in smoking behaviour during the transition from adolescence to young adulthood. Results of the KiGGS cohort [PDF]
Elvira Mauz +6 more
doaj +1 more source
Machine-Learning-Enabled Hydrogel Biosensors for Wearable Health Monitoring. [PDF]
Zhang Z.
europepmc +1 more source
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
IoT-aware extreme machine learning for efficient health monitoring. [PDF]
Sivakumar NR.
europepmc +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Wearable Devices and New Frontiers in Smart Health Monitoring. [PDF]
Holgado-Terriza JA +2 more
europepmc +1 more source

