FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381948934> ?p ?o ?g. }

• W4381948934 abstract "Growing interest over recent years in personalized health monitoring coupled with the skyrocketing popularity of wearable smart devices has led to the increased relevance of wearable sweat-based sensors for biomarker detection. From optimizing workouts to risk management of cardiovascular diseases and monitoring prediabetes, the ability of sweat sensors to continuously and noninvasively measure biomarkers in real-time has a wide range of applications. Conventional sweat sensors utilize external stimulation of sweat glands to obtain samples, however; this stimulation influences the expression profile of the biomarkers and reduces the accuracy of the detection method. To address this limitation, our laboratory pioneered the development of the passive sweat sensor subfield, which allowed for our progress in developing a sweat chemistry panel. Passive sweat sensors utilize nanoporous structures to confine and detect biomarkers in ultra-low sweat volumes. The ability of passive sweat sensors to use smaller samples than conventional sensors enable users with sedentary lifestyles who perspire less to benefit from sweat sensor technology not previously afforded to them. Herein, the mechanisms and strategies of current sweat sensors are summarized with an emphasis on the emerging subfield of passive sweat-based diagnostics. Prospects for this technology include discovering new biomarkers expressed in sweat and expanding the list of relevant detectable biomarkers. Moreover, the accuracy of biomarker detection can be enhanced with machine learning using prediction algorithms trained on clinical data. Applying this machine learning in conjunction with multiplex biomarker detection will allow for a more holistic approach to trend predictions. This article is categorized under: Diagnostic Tools > Diagnostic Nanodevices Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Diagnostic Tools > Biosensing" @default.
• W4381948934 created "2023-06-26" @default.
• W4381948934 creator A5038718098 @default.
• W4381948934 creator A5052888423 @default.
• W4381948934 creator A5070427505 @default.
• W4381948934 creator A5071772533 @default.
• W4381948934 creator A5077255427 @default.
• W4381948934 creator A5082161852 @default.
• W4381948934 creator A5083746564 @default.
• W4381948934 date "2023-06-25" @default.
• W4381948934 modified "2023-09-24" @default.
• W4381948934 title "Passive sweat wearable: A new paradigm in the wearable landscape toward enabling “detect to treat” opportunities" @default.
• W4381948934 cites W1787648778 @default.
• W4381948934 cites W1891173294 @default.
• W4381948934 cites W1976042351 @default.
• W4381948934 cites W1986186084 @default.
• W4381948934 cites W2000770184 @default.
• W4381948934 cites W2004032686 @default.
• W4381948934 cites W2008371813 @default.
• W4381948934 cites W2009286885 @default.
• W4381948934 cites W2009903348 @default.
• W4381948934 cites W2026279809 @default.
• W4381948934 cites W2038429516 @default.
• W4381948934 cites W2040435093 @default.
• W4381948934 cites W2042221209 @default.
• W4381948934 cites W2043911484 @default.
• W4381948934 cites W2050379506 @default.
• W4381948934 cites W2050694996 @default.
• W4381948934 cites W2062756785 @default.
• W4381948934 cites W2077409789 @default.
• W4381948934 cites W2079422913 @default.
• W4381948934 cites W2090798711 @default.
• W4381948934 cites W2093614432 @default.
• W4381948934 cites W2094849811 @default.
• W4381948934 cites W2103049241 @default.
• W4381948934 cites W2117236354 @default.
• W4381948934 cites W2142179136 @default.
• W4381948934 cites W2147375465 @default.
• W4381948934 cites W2148658155 @default.
• W4381948934 cites W2149411493 @default.
• W4381948934 cites W2164122544 @default.
• W4381948934 cites W2266175888 @default.
• W4381948934 cites W2304882799 @default.
• W4381948934 cites W2312140404 @default.
• W4381948934 cites W2346225394 @default.
• W4381948934 cites W2464371645 @default.
• W4381948934 cites W2520727564 @default.
• W4381948934 cites W2547782348 @default.
• W4381948934 cites W2588869869 @default.
• W4381948934 cites W2591166580 @default.
• W4381948934 cites W2595073282 @default.
• W4381948934 cites W2601272645 @default.
• W4381948934 cites W2612250156 @default.
• W4381948934 cites W2748040477 @default.
• W4381948934 cites W2762722043 @default.
• W4381948934 cites W2810182320 @default.
• W4381948934 cites W2900482170 @default.
• W4381948934 cites W2901046284 @default.
• W4381948934 cites W2901552928 @default.
• W4381948934 cites W2917386416 @default.
• W4381948934 cites W2946781915 @default.
• W4381948934 cites W2980574779 @default.
• W4381948934 cites W2981900081 @default.
• W4381948934 cites W2989536728 @default.
• W4381948934 cites W2994993047 @default.
• W4381948934 cites W3012033770 @default.
• W4381948934 cites W3015076834 @default.
• W4381948934 cites W3018609903 @default.
• W4381948934 cites W3023922670 @default.
• W4381948934 cites W3035887355 @default.
• W4381948934 cites W3045936143 @default.
• W4381948934 cites W3095646281 @default.
• W4381948934 cites W3118207414 @default.
• W4381948934 cites W3119094744 @default.
• W4381948934 cites W3122235093 @default.
• W4381948934 cites W3129646484 @default.
• W4381948934 cites W3131566806 @default.
• W4381948934 cites W3144170814 @default.
• W4381948934 cites W3145000295 @default.
• W4381948934 cites W3158053643 @default.
• W4381948934 cites W3166365502 @default.
• W4381948934 cites W3170771910 @default.
• W4381948934 cites W3173815514 @default.
• W4381948934 cites W3184572579 @default.
• W4381948934 cites W3194077052 @default.
• W4381948934 cites W3205628854 @default.
• W4381948934 cites W4211094742 @default.
• W4381948934 cites W4213106821 @default.
• W4381948934 cites W4214889898 @default.
• W4381948934 cites W4224041611 @default.
• W4381948934 cites W4231363982 @default.
• W4381948934 cites W4281557366 @default.
• W4381948934 cites W4285310382 @default.
• W4381948934 cites W4291624534 @default.
• W4381948934 cites W4311001943 @default.
• W4381948934 doi "https://doi.org/10.1002/wnan.1912" @default.
• W4381948934 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37356818" @default.
• W4381948934 hasPublicationYear "2023" @default.
• W4381948934 type Work @default.
• W4381948934 citedByCount "0" @default.

• next