<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Garland NT</submitter><funding>Defense Advanced Research Projects Agency</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>Northwestern University</funding><funding>NCI NIH HHS</funding><funding>Materials Research Science and Engineering Center, Harvard University</funding><funding>National Science Foundation</funding><pagination>e2301280</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10766868</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>12(28)</volume><pubmed_abstract>Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 d</pubmed_abstract><journal>Advanced healthcare materials</journal><pubmed_title>A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early.</pubmed_title><pmcid>PMC10766868</pmcid><funding_grant_id>R01 DK131302</funding_grant_id><funding_grant_id>NSF DMR‐1720139</funding_grant_id><funding_grant_id>R01DK131302</funding_grant_id><funding_grant_id>P30 CA060553</funding_grant_id><funding_grant_id>D20AC00004</funding_grant_id><funding_grant_id>EEC‐1160483</funding_grant_id><pubmed_authors>Sharma N</pubmed_authors><pubmed_authors>Vazquez-Guardado A</pubmed_authors><pubmed_authors>Hashkavayi AB</pubmed_authors><pubmed_authors>Ameer GA</pubmed_authors><pubmed_authors>Bandodkar AJ</pubmed_authors><pubmed_authors>Ganeshan SK</pubmed_authors><pubmed_authors>Veves A</pubmed_authors><pubmed_authors>Ryu H</pubmed_authors><pubmed_authors>Forsberg V</pubmed_authors><pubmed_authors>Ma T</pubmed_authors><pubmed_authors>Jakus MA</pubmed_authors><pubmed_authors>Song JW</pubmed_authors><pubmed_authors>Garland NT</pubmed_authors><pubmed_authors>Kim YJ</pubmed_authors><pubmed_authors>Kaveti R</pubmed_authors><pubmed_authors>Sumpio B</pubmed_authors><pubmed_authors>Sia SK</pubmed_authors><pubmed_authors>Lee MK</pubmed_authors><pubmed_authors>Rogers JA</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Miniaturized, Battery-Free, Wireless Wound Monitor That Predicts Wound Closure Rate Early.</name><description>Diabetic foot ulcers are chronic wounds that affect millions and increase the risk of amputation and mortality, highlighting the critical need for their early detection. Recent demonstrations of wearable sensors enable real-time wound assessment, but they rely on bulky electronics, making them difficult to interface with wounds. Herein, a miniaturized, wireless, battery-free wound monitor that measures lactate in real-time and seamlessly integrates with bandages for conformal attachment to the wound bed is introduced. Lactate is selected due to its multifaceted role in initiating healing. Studies in healthy and diabetic mice reveal distinct lactate profiles for normal and impaired healing wounds. A mathematical model based on the sensor data predicts wound closure rate within the first 3 d</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Nov</publication><modification>2025-04-04T03:01:01.169Z</modification><creation>2025-04-04T03:01:01.169Z</creation></dates><accession>S-EPMC10766868</accession><cross_references><pubmed>37407030</pubmed><doi>10.1002/adhm.202301280</doi></cross_references></HashMap>