<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yang Z</submitter><funding>key research and development project of Jilin Provincial Science and Technology Department</funding><funding>Interdisciplinary innovation project of the first hospital of Jilin University</funding><funding>the scientific research foundation of the first hospital of Jilin University</funding><funding>the WU JIEPING MEDICAL FOUNDATION</funding><funding>Natural Science Foundation of Jilin Province</funding><funding>the Science and Technology Research Project of Jilin Provincial Department of Education</funding><pagination>22</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10770976</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>The accurate preoperative diagnosis and tracking of lung adenocarcinoma is hindered by non-targeting and diffusion of dyes used for marking tumors. Hence, there is an urgent need to develop a practical nanoprobe for tracing lung adenocarcinoma precisely even treating them noninvasively. Herein, Gold nanoclusters (AuNCs) conjugate with thyroid transcription factor-1 (TTF-1) antibody, then multifunctional nanoprobe Au-TTF-1 is designed and synthesized, which underscores the paramount importance of advancing the machine learning diagnosis and bioimaging-guided treatment of lung adenocarcinoma. Bright fluorescence (FL) and strong CT signal of Au-TTF-1 set the stage for tracking. Furthermore, the high specificity of TTF-1 antibody facilitates selective targeting of lung adenocarcinoma cells as </pubmed_abstract><journal>Journal of nanobiotechnology</journal><pubmed_title>"All in one" nanoprobe Au-TTF-1 for target FL/CT bioimaging, machine learning technology and imaging-guided photothermal therapy against lung adenocarcinoma.</pubmed_title><pmcid>PMC10770976</pmcid><funding_grant_id>***202302002</funding_grant_id><funding_grant_id>JJKH20211203KJ</funding_grant_id><funding_grant_id>320.6750.19089.80</funding_grant_id><funding_grant_id>20210204142YY</funding_grant_id><funding_grant_id>JDYYJCHX2020005</funding_grant_id><funding_grant_id>JDYY11202015</funding_grant_id><pubmed_authors>Yang X</pubmed_authors><pubmed_authors>Song L</pubmed_authors><pubmed_authors>Yang Z</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Lin Q</pubmed_authors><pubmed_authors>Tang L</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Zvyagin AV</pubmed_authors><pubmed_authors>Shen C</pubmed_authors><pubmed_authors>Yang B</pubmed_authors></additional><is_claimable>false</is_claimable><name>"All in one" nanoprobe Au-TTF-1 for target FL/CT bioimaging, machine learning technology and imaging-guided photothermal therapy against lung adenocarcinoma.</name><description>The accurate preoperative diagnosis and tracking of lung adenocarcinoma is hindered by non-targeting and diffusion of dyes used for marking tumors. Hence, there is an urgent need to develop a practical nanoprobe for tracing lung adenocarcinoma precisely even treating them noninvasively. Herein, Gold nanoclusters (AuNCs) conjugate with thyroid transcription factor-1 (TTF-1) antibody, then multifunctional nanoprobe Au-TTF-1 is designed and synthesized, which underscores the paramount importance of advancing the machine learning diagnosis and bioimaging-guided treatment of lung adenocarcinoma. Bright fluorescence (FL) and strong CT signal of Au-TTF-1 set the stage for tracking. Furthermore, the high specificity of TTF-1 antibody facilitates selective targeting of lung adenocarcinoma cells as </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jan</publication><modification>2025-04-04T21:28:40.314Z</modification><creation>2024-12-04T10:29:45.275Z</creation></dates><accession>S-EPMC10770976</accession><cross_references><pubmed>38184620</pubmed><doi>10.1186/s12951-023-02280-9</doi></cross_references></HashMap>