{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kwon YT"],"funding":["NIA NIH HHS","Georgia Research Alliance","National Research Foundation of Korea","U.S. Department of Health & Human Services | National Institutes of Health","National Science Foundation"],"pagination":["3450"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7351733"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(1)"],"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"],"journal":["Nature communications"],"pubmed_title":["All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces."],"pmcid":["PMC7351733"],"funding_grant_id":["R21AG064309","2016M3A7B4900044","R21 AG064309","ECCS-1542174"],"pubmed_authors":["Lim HR","Herbert R","Kwon YT","Kwon S","Choi JJ","Mahmood M","Park SW","Jang YC","Choa YH","Kang SO","Kim YS","Yeo WH"],"additional_accession":[]},"is_claimable":false,"name":"All-printed nanomembrane wireless bioelectronics using a biocompatible solderable graphene for multimodal human-machine interfaces.","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","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jul","modification":"2025-06-01T02:54:08.028Z","creation":"2025-06-01T02:54:08.028Z"},"accession":"S-EPMC7351733","cross_references":{"pubmed":["32651424"],"doi":["10.1038/s41467-020-17288-0"]}}