SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE

Artificial intelligence systems and computer-implemented methods for generating digital twins, establishing wellness parameters and generating recommendations to improve performance and wellness. An artificial intelligence system comprises a biosample collection unit, a physical analysis unit to per...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HOULE, CAMILLE, NOEL, LOUIS-PHILIPPE, FRADIN, MANON
Format: Patent
Sprache:eng ; fre
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator HOULE, CAMILLE
NOEL, LOUIS-PHILIPPE
FRADIN, MANON
description Artificial intelligence systems and computer-implemented methods for generating digital twins, establishing wellness parameters and generating recommendations to improve performance and wellness. An artificial intelligence system comprises a biosample collection unit, a physical analysis unit to perform a detection, relative quantification and untargeted analysis of analytes from the biosamples, a computing unit comprising: an automatic data collection unit, a data analysis unit for analysing the data, and a real-time data computing integration unit which automatically integrates the data generated from the analysis, transforms the data to establish representing values of wellness parameters through time, compares the representing values with data stored in the automatic data collection unit and responds to a change by generating a set of recommended actions or patterns response to improve performance and wellness. Full or partial phenotyped digital twins can be compared to knowledge bases to assess an organism over time or to assess another organism.
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CA3188052A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CA3188052A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CA3188052A13</originalsourceid><addsrcrecordid>eNrjZPANjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScPL093UM8nYNAko4-kQGewYrePopBAf4B4V4-rnrKIS7-vj4uQYHg_V5uDr6hHg4Owa58jCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeGdHY0MLCwNTI0dDYyKUAACCbi2a</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE</title><source>esp@cenet</source><creator>HOULE, CAMILLE ; NOEL, LOUIS-PHILIPPE ; FRADIN, MANON</creator><creatorcontrib>HOULE, CAMILLE ; NOEL, LOUIS-PHILIPPE ; FRADIN, MANON</creatorcontrib><description>Artificial intelligence systems and computer-implemented methods for generating digital twins, establishing wellness parameters and generating recommendations to improve performance and wellness. An artificial intelligence system comprises a biosample collection unit, a physical analysis unit to perform a detection, relative quantification and untargeted analysis of analytes from the biosamples, a computing unit comprising: an automatic data collection unit, a data analysis unit for analysing the data, and a real-time data computing integration unit which automatically integrates the data generated from the analysis, transforms the data to establish representing values of wellness parameters through time, compares the representing values with data stored in the automatic data collection unit and responds to a change by generating a set of recommended actions or patterns response to improve performance and wellness. Full or partial phenotyped digital twins can be compared to knowledge bases to assess an organism over time or to assess another organism.</description><language>eng ; fre</language><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230731&amp;DB=EPODOC&amp;CC=CA&amp;NR=3188052A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230731&amp;DB=EPODOC&amp;CC=CA&amp;NR=3188052A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HOULE, CAMILLE</creatorcontrib><creatorcontrib>NOEL, LOUIS-PHILIPPE</creatorcontrib><creatorcontrib>FRADIN, MANON</creatorcontrib><title>SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE</title><description>Artificial intelligence systems and computer-implemented methods for generating digital twins, establishing wellness parameters and generating recommendations to improve performance and wellness. An artificial intelligence system comprises a biosample collection unit, a physical analysis unit to perform a detection, relative quantification and untargeted analysis of analytes from the biosamples, a computing unit comprising: an automatic data collection unit, a data analysis unit for analysing the data, and a real-time data computing integration unit which automatically integrates the data generated from the analysis, transforms the data to establish representing values of wellness parameters through time, compares the representing values with data stored in the automatic data collection unit and responds to a change by generating a set of recommended actions or patterns response to improve performance and wellness. Full or partial phenotyped digital twins can be compared to knowledge bases to assess an organism over time or to assess another organism.</description><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPANjgwOcfVVcPRzUfB1DfHwd1Fw8w9ScPL093UM8nYNAko4-kQGewYrePopBAf4B4V4-rnrKIS7-vj4uQYHg_V5uDr6hHg4Owa58jCwpiXmFKfyQmluBgU31xBnD93Ugvz41OKCxOTUvNSSeGdHY0MLCwNTI0dDYyKUAACCbi2a</recordid><startdate>20230731</startdate><enddate>20230731</enddate><creator>HOULE, CAMILLE</creator><creator>NOEL, LOUIS-PHILIPPE</creator><creator>FRADIN, MANON</creator><scope>EVB</scope></search><sort><creationdate>20230731</creationdate><title>SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE</title><author>HOULE, CAMILLE ; NOEL, LOUIS-PHILIPPE ; FRADIN, MANON</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CA3188052A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2023</creationdate><toplevel>online_resources</toplevel><creatorcontrib>HOULE, CAMILLE</creatorcontrib><creatorcontrib>NOEL, LOUIS-PHILIPPE</creatorcontrib><creatorcontrib>FRADIN, MANON</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HOULE, CAMILLE</au><au>NOEL, LOUIS-PHILIPPE</au><au>FRADIN, MANON</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE</title><date>2023-07-31</date><risdate>2023</risdate><abstract>Artificial intelligence systems and computer-implemented methods for generating digital twins, establishing wellness parameters and generating recommendations to improve performance and wellness. An artificial intelligence system comprises a biosample collection unit, a physical analysis unit to perform a detection, relative quantification and untargeted analysis of analytes from the biosamples, a computing unit comprising: an automatic data collection unit, a data analysis unit for analysing the data, and a real-time data computing integration unit which automatically integrates the data generated from the analysis, transforms the data to establish representing values of wellness parameters through time, compares the representing values with data stored in the automatic data collection unit and responds to a change by generating a set of recommended actions or patterns response to improve performance and wellness. Full or partial phenotyped digital twins can be compared to knowledge bases to assess an organism over time or to assess another organism.</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language eng ; fre
recordid cdi_epo_espacenet_CA3188052A1
source esp@cenet
title SYSTEM AND METHOD FOR BIOMARKER ANALYSIS IN SPORTING, WELLNESS AND HEALTHCARE
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T20%3A25%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=HOULE,%20CAMILLE&rft.date=2023-07-31&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECA3188052A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true