<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kwon YT</submitter><funding>NIA NIH HHS</funding><funding>Georgia Research Alliance</funding><funding>National Research Foundation of Korea</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health</funding><funding>National Science Foundation</funding><pagination>3450</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7351733</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(1)</volume><pubmed_abstract>Recent advances in nanomaterials and nano-microfabrication have enabled the development of flexible wearable electronics. However, existing manufacturing methods still rely on a multi-step, error-prone complex process that requires a costly cleanroom facility. Here, we report a new class of additive nanomanufacturing of functional materials that enables a wireless, multilayered, seamlessly interconnected, and flexible hybrid electronic system. All-printed electronics, incorporating machine learning, offers multi-class and versatile human-machine interfaces. One of the key technological advancements is the use of a functionalized conductive graphene with enhanced biocompatibility, anti-oxidation, and solderability, which allows a wireless flexible circuit. The high-aspect ratio graphene off</pubmed_abstract><journal>Nature communications</journal><pubmed_title>All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces.</pubmed_title><pmcid>PMC7351733</pmcid><funding_grant_id>R21AG064309</funding_grant_id><funding_grant_id>2016M3A7B4900044</funding_grant_id><funding_grant_id>R21 AG064309</funding_grant_id><funding_grant_id>ECCS-1542174</funding_grant_id><pubmed_authors>Lim HR</pubmed_authors><pubmed_authors>Herbert R</pubmed_authors><pubmed_authors>Kwon YT</pubmed_authors><pubmed_authors>Kwon S</pubmed_authors><pubmed_authors>Choi JJ</pubmed_authors><pubmed_authors>Mahmood M</pubmed_authors><pubmed_authors>Park SW</pubmed_authors><pubmed_authors>Jang YC</pubmed_authors><pubmed_authors>Choa YH</pubmed_authors><pubmed_authors>Kang SO</pubmed_authors><pubmed_authors>Kim YS</pubmed_authors><pubmed_authors>Yeo WH</pubmed_authors></additional><is_claimable>false</is_claimable><name>All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces.</name><description>Recent advances in nanomaterials and nano-microfabrication have enabled the development of flexible wearable electronics. However, existing manufacturing methods still rely on a multi-step, error-prone complex process that requires a costly cleanroom facility. Here, we report a new class of additive nanomanufacturing of functional materials that enables a wireless, multilayered, seamlessly interconnected, and flexible hybrid electronic system. All-printed electronics, incorporating machine learning, offers multi-class and versatile human-machine interfaces. One of the key technological advancements is the use of a functionalized conductive graphene with enhanced biocompatibility, anti-oxidation, and solderability, which allows a wireless flexible circuit. The high-aspect ratio graphene off</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Jul</publication><modification>2025-06-01T02:54:08.028Z</modification><creation>2025-06-01T02:54:08.028Z</creation></dates><accession>S-EPMC7351733</accession><cross_references><pubmed>32651424</pubmed><doi>10.1038/s41467-020-17288-0</doi></cross_references></HashMap>