{"id":"https://openalex.org/W7154472008","doi":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055","title":"AI-Augmented Aptamer Functionalized Microneedle Interface for Continous Multi-Biomarker Profiling and Deep Neural Cardiac Risk Stratification","display_name":"AI-Augmented Aptamer Functionalized Microneedle Interface for Continous Multi-Biomarker Profiling and Deep Neural Cardiac Risk Stratification","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7154472008","doi":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ecsbhi67834.2026.11469055","doi":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055","pdf_url":null,"source":{"id":"https://openalex.org/S7407096110","display_name":"International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024130317","display_name":"Priyansh Kumar Sharma","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Priyansh Kumar Sharma","raw_affiliation_strings":["NeuraCardia AI Healthcare Private Limited,Greater NOIDA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NeuraCardia AI Healthcare Private Limited,Greater NOIDA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5146866622","display_name":"Ravi Kumar Chaudhary","orcid":"https://orcid.org/0000-0002-9877-1529","observed_orcids":["https://orcid.org/0000-0002-9877-1529"]},"institutions":[{"id":"https://openalex.org/I4405273197","display_name":"Government Institute of Medical Sciences, Greater Noida","ror":"https://ror.org/05ewndv52","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405273197"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Kumar Chaudhary","raw_affiliation_strings":["Government Institute of Medical Sciences,Department of Medical Research,Greater Noida,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Government Institute of Medical Sciences,Department of Medical Research,Greater Noida,India","institution_ids":["https://openalex.org/I4405273197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20545431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1378","last_page":"1383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.33959999680519104,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.33959999680519104,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.14869999885559082,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10212","display_name":"Electrochemical sensors and biosensors","score":0.10050000250339508,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.7179999947547913},{"id":"https://openalex.org/keywords/cardiac-risk-stratification","display_name":"cardiac risk stratification","score":0.9160000085830688},{"id":"https://openalex.org/keywords/myoglobin","display_name":"myoglobin","score":0.8880000114440918},{"id":"https://openalex.org/keywords/ck-mb","display_name":"CK-MB","score":0.949999988079071},{"id":"https://openalex.org/keywords/troponin-i","display_name":"troponin I","score":0.9079999923706055},{"id":"https://openalex.org/keywords/synthetic-patient-data","display_name":"synthetic patient data","score":0.8980000019073486}],"concepts":[{"id":"https://openalex.org/C128972844","wikidata":"https://www.wikidata.org/wiki/Q418722","display_name":"Aptamer","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.667900025844574},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.49790000915527344},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4708999991416931},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.43639999628067017},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.30869999527931213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29750001430511475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2922999858856201},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.2662999927997589},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.25270000100135803},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2522999942302704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ecsbhi67834.2026.11469055","doi":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ecsbhi67834.2026.11469055","pdf_url":null,"source":{"id":"https://openalex.org/S7407096110","display_name":"International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2885820762","https://openalex.org/W7160296346","https://openalex.org/W7118070405","https://openalex.org/W4407907861","https://openalex.org/W2912522881","https://openalex.org/W4390547706","https://openalex.org/W2893551547","https://openalex.org/W4385754666","https://openalex.org/W7163673135","https://openalex.org/W4408016797"],"abstract_inverted_index":{"Monitoring":[0],"cardiac":[1,24,93,211,221,236],"biomarkers":[2,197],"in":[3,63,112,127,143,173,219,223],"a":[4,9,32,42,81,97,107,113,151,170,193,216],"continuous":[5],"biosensing":[6,70,226],"fashion":[7],"is":[8,66,88,96,103,121,132,141,202],"prospect":[10],"that":[11,38,50,72,87,102,140,200],"could":[12],"revolutionize":[13],"the":[14,36],"early":[15],"detection":[16],"and":[17,23,44,110,130,167,227,234],"prophylaxis":[18],"of":[19,35,47,57,76,105,116,204],"myocardial":[20],"injuries,":[21],"ischemias,":[22],"arrests.":[25],"Current":[26],"diagnostic":[27],"practices":[28],"are":[29,51],"based":[30],"on":[31],"static":[33],"testing":[34],"blood":[37],"does":[39],"not":[40],"allow":[41],"dynamic":[43],"real-time":[45],"measurement":[46],"biochemical":[48,207],"processes":[49],"closely":[52],"related":[53],"to":[54,90,123,134,210,230,232],"sudden":[55],"occurrences":[56],"heart-related":[58],"problems.":[59],"The":[60,147],"architecture":[61,71],"proposed":[62,145],"this":[64,131,144],"paper":[65,214],"an":[67,74,77],"artificial":[68,228],"intelligence-based":[69,85],"combines":[73],"interface":[75],"aptamer-based":[78],"microneedle":[79],"with":[80],"multi-headed":[82],"deep":[83],"neural":[84],"system":[86],"utilized":[89,142],"continuously":[91],"monitor":[92],"biomarkers.":[94],"It":[95,190],"minimally":[98],"invasive":[99],"transdermal":[100],"device":[101],"capable":[104,203],"performing":[106],"multi-output":[108],"regression":[109,153],"classification":[111],"single":[114],"instant":[115],"time.":[117],"Synthetic":[118],"patient":[119,138],"data":[120,139],"generated":[122],"mimic":[124],"various":[125],"changes":[126],"body":[128],"functions,":[129],"done":[133],"create":[135],"1000":[136],"synthetic":[137],"work.":[146],"Neura_v3":[148],"model":[149],"had":[150,169,192],"high":[152,171,194],"accuracy":[154,172],"($\\mathbf{R}^{\\mathbf{2}}":[155],"\\boldsymbol{=}":[156],"\\mathbf{0.":[157],"7":[158],"9}$for":[159],"Myoglobin,":[160],"0.76":[161],"for":[162,165],"CK-MB,":[163],"0.47":[164],"Troponin-I),":[166],"it":[168,201],"classifying":[174],"events":[175],"91%,":[176],"Precision":[177],"=":[178,181,185,188],"0.94,":[179],"Recall":[180],"0.75,":[182],"F1":[183],"Score":[184],"0.83,":[186],"ROCAUC":[187],"0.92.":[189],"also":[191],"correlation":[195],"between":[196],"(>0.8),":[198],"indicating":[199],"learning":[205],"intricate":[206],"relationships":[208],"prior":[209],"injury.":[212],"This":[213],"proposes":[215],"novel":[217],"framework":[218],"predictive":[220],"monitoring":[222],"real-time,":[224],"linking":[225],"intelligence":[229],"lead":[231],"independent":[233],"preventive":[235],"care.":[237]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-16T00:00:00"}