CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study
Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. However, reliance on the physician's experience for dose titration, coupled with tacrolimus's narrow therapeutic window and inter‐ and intrapatient variability, often results in frequent under...
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Veröffentlicht in: | Advanced therapeutics 2024-02, Vol.7 (2), p.n/a |
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creator | Tan, Shi‐Bei Senthil Kumar, Kirthika Gan, Tiffany Rui Xuan Tan, Lester W. J. Truong, Anh T. L. Blasiak, Agata Aw, Marion M. Mali, Vidyadhar Padmakar Ho, Dean |
description | Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. However, reliance on the physician's experience for dose titration, coupled with tacrolimus's narrow therapeutic window and inter‐ and intrapatient variability, often results in frequent under or overdosing events with detrimental patient outcomes. Existing predictive dose personalization models are not readily feasible for clinical implementation, as they require multiple measurements each day while the standard frequency is once daily. CURATE.AI, a small‐data artificial intelligence‐derived platform, is developed as a clinical decision support system to dynamically personalize doses using the patient's own data obtained once a day. Retrospective dose personalization with CURATE.AI on 16 patients’ data demonstrates potential to enable more patients to reach therapeutic range within the first week. The findings support the testing of CURATE.AI in a prospective controlled trial as an aid for the physician's decision on tacrolimus dose personalization after pediatric liver transplantation.
Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. This study develops CURATE.AI, a small‐data artificial intelligence‐derived platform, as a clinical decision support system to dynamically personalize tacrolimus doses using the patient's own data. Retrospective dose personalization with CURATE.AI demonstrates the potential to enable more patients to reach the therapeutic range within the first week. |
doi_str_mv | 10.1002/adtp.202300236 |
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Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. This study develops CURATE.AI, a small‐data artificial intelligence‐derived platform, as a clinical decision support system to dynamically personalize tacrolimus doses using the patient's own data. Retrospective dose personalization with CURATE.AI demonstrates the potential to enable more patients to reach the therapeutic range within the first week.</description><identifier>ISSN: 2366-3987</identifier><identifier>EISSN: 2366-3987</identifier><identifier>DOI: 10.1002/adtp.202300236</identifier><language>eng</language><subject>clinical decision support system ; digital health ; immunosuppression ; pediatric liver transplant ; personalized medicine ; phenotypic response ; retrospective analysis</subject><ispartof>Advanced therapeutics, 2024-02, Vol.7 (2), p.n/a</ispartof><rights>2023 Wiley‐VCH GmbH</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2896-b19996d47fefd8cfcec91f674322afd4eb86cdb1e463aa429fede36cae5548463</citedby><cites>FETCH-LOGICAL-c2896-b19996d47fefd8cfcec91f674322afd4eb86cdb1e463aa429fede36cae5548463</cites><orcidid>0000-0002-6668-4623 ; 0000-0002-6323-5275 ; 0000-0001-5328-7920 ; 0000-0003-0727-7611 ; 0000-0002-6412-5879 ; 0000-0003-0323-4964 ; 0000-0001-6388-4390 ; 0000-0003-1551-4437 ; 0000-0002-7337-296X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fadtp.202300236$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fadtp.202300236$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Tan, Shi‐Bei</creatorcontrib><creatorcontrib>Senthil Kumar, Kirthika</creatorcontrib><creatorcontrib>Gan, Tiffany Rui Xuan</creatorcontrib><creatorcontrib>Tan, Lester W. J.</creatorcontrib><creatorcontrib>Truong, Anh T. L.</creatorcontrib><creatorcontrib>Blasiak, Agata</creatorcontrib><creatorcontrib>Aw, Marion M.</creatorcontrib><creatorcontrib>Mali, Vidyadhar Padmakar</creatorcontrib><creatorcontrib>Ho, Dean</creatorcontrib><title>CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study</title><title>Advanced therapeutics</title><description>Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. However, reliance on the physician's experience for dose titration, coupled with tacrolimus's narrow therapeutic window and inter‐ and intrapatient variability, often results in frequent under or overdosing events with detrimental patient outcomes. Existing predictive dose personalization models are not readily feasible for clinical implementation, as they require multiple measurements each day while the standard frequency is once daily. CURATE.AI, a small‐data artificial intelligence‐derived platform, is developed as a clinical decision support system to dynamically personalize doses using the patient's own data obtained once a day. Retrospective dose personalization with CURATE.AI on 16 patients’ data demonstrates potential to enable more patients to reach therapeutic range within the first week. The findings support the testing of CURATE.AI in a prospective controlled trial as an aid for the physician's decision on tacrolimus dose personalization after pediatric liver transplantation.
Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. This study develops CURATE.AI, a small‐data artificial intelligence‐derived platform, as a clinical decision support system to dynamically personalize tacrolimus doses using the patient's own data. Retrospective dose personalization with CURATE.AI demonstrates the potential to enable more patients to reach the therapeutic range within the first week.</description><subject>clinical decision support system</subject><subject>digital health</subject><subject>immunosuppression</subject><subject>pediatric liver transplant</subject><subject>personalized medicine</subject><subject>phenotypic response</subject><subject>retrospective analysis</subject><issn>2366-3987</issn><issn>2366-3987</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkMtKAzEUhoMoWGq3rvMCM841M3E3tFULBUudroc0OSmRdKYkqVJXxSdw4RP2SUypqDs35_p_h8OP0HUchXEUJTdMuE2YREnqm5ScoZ6PJEhpWZz_qS_RwNrnyGuiOC3yvIfeh4t5VY_DanLYf1bGKam4YhpPWgdaqxW0HA77jxEY9QICz8DYrmVavfmmZtx0Wq23Fo86q9oVlp3xEqGYM4rjqUcMrg1r7Uaz1t3iCs_Bmc5ugDu_xE9uK3ZX6EIybWHwnftocTeuhw_B9PF-MqymAU9KSoJlTCklIiskSFFyyYHTWJIiS5OESZHBsiRcLGPISMpYllAJAlLCGeR5VvphH4Wnu_5raw3IZmPUmpldE0fN0cTmaGLzY6IH6Al4VRp2_6ibalTPftkvWUp7Mg</recordid><startdate>202402</startdate><enddate>202402</enddate><creator>Tan, Shi‐Bei</creator><creator>Senthil Kumar, Kirthika</creator><creator>Gan, Tiffany Rui Xuan</creator><creator>Tan, Lester W. 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L.</creator><creator>Blasiak, Agata</creator><creator>Aw, Marion M.</creator><creator>Mali, Vidyadhar Padmakar</creator><creator>Ho, Dean</creator><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-6668-4623</orcidid><orcidid>https://orcid.org/0000-0002-6323-5275</orcidid><orcidid>https://orcid.org/0000-0001-5328-7920</orcidid><orcidid>https://orcid.org/0000-0003-0727-7611</orcidid><orcidid>https://orcid.org/0000-0002-6412-5879</orcidid><orcidid>https://orcid.org/0000-0003-0323-4964</orcidid><orcidid>https://orcid.org/0000-0001-6388-4390</orcidid><orcidid>https://orcid.org/0000-0003-1551-4437</orcidid><orcidid>https://orcid.org/0000-0002-7337-296X</orcidid></search><sort><creationdate>202402</creationdate><title>CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study</title><author>Tan, Shi‐Bei ; Senthil Kumar, Kirthika ; Gan, Tiffany Rui Xuan ; Tan, Lester W. J. ; Truong, Anh T. L. ; Blasiak, Agata ; Aw, Marion M. ; Mali, Vidyadhar Padmakar ; Ho, Dean</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2896-b19996d47fefd8cfcec91f674322afd4eb86cdb1e463aa429fede36cae5548463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>clinical decision support system</topic><topic>digital health</topic><topic>immunosuppression</topic><topic>pediatric liver transplant</topic><topic>personalized medicine</topic><topic>phenotypic response</topic><topic>retrospective analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tan, Shi‐Bei</creatorcontrib><creatorcontrib>Senthil Kumar, Kirthika</creatorcontrib><creatorcontrib>Gan, Tiffany Rui Xuan</creatorcontrib><creatorcontrib>Tan, Lester W. J.</creatorcontrib><creatorcontrib>Truong, Anh T. L.</creatorcontrib><creatorcontrib>Blasiak, Agata</creatorcontrib><creatorcontrib>Aw, Marion M.</creatorcontrib><creatorcontrib>Mali, Vidyadhar Padmakar</creatorcontrib><creatorcontrib>Ho, Dean</creatorcontrib><collection>CrossRef</collection><jtitle>Advanced therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Shi‐Bei</au><au>Senthil Kumar, Kirthika</au><au>Gan, Tiffany Rui Xuan</au><au>Tan, Lester W. J.</au><au>Truong, Anh T. L.</au><au>Blasiak, Agata</au><au>Aw, Marion M.</au><au>Mali, Vidyadhar Padmakar</au><au>Ho, Dean</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study</atitle><jtitle>Advanced therapeutics</jtitle><date>2024-02</date><risdate>2024</risdate><volume>7</volume><issue>2</issue><epage>n/a</epage><issn>2366-3987</issn><eissn>2366-3987</eissn><abstract>Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. However, reliance on the physician's experience for dose titration, coupled with tacrolimus's narrow therapeutic window and inter‐ and intrapatient variability, often results in frequent under or overdosing events with detrimental patient outcomes. Existing predictive dose personalization models are not readily feasible for clinical implementation, as they require multiple measurements each day while the standard frequency is once daily. CURATE.AI, a small‐data artificial intelligence‐derived platform, is developed as a clinical decision support system to dynamically personalize doses using the patient's own data obtained once a day. Retrospective dose personalization with CURATE.AI on 16 patients’ data demonstrates potential to enable more patients to reach therapeutic range within the first week. The findings support the testing of CURATE.AI in a prospective controlled trial as an aid for the physician's decision on tacrolimus dose personalization after pediatric liver transplantation.
Tacrolimus is the cornerstone of immunosuppressive therapy after pediatric liver transplantation. This study develops CURATE.AI, a small‐data artificial intelligence‐derived platform, as a clinical decision support system to dynamically personalize tacrolimus doses using the patient's own data. Retrospective dose personalization with CURATE.AI demonstrates the potential to enable more patients to reach the therapeutic range within the first week.</abstract><doi>10.1002/adtp.202300236</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6668-4623</orcidid><orcidid>https://orcid.org/0000-0002-6323-5275</orcidid><orcidid>https://orcid.org/0000-0001-5328-7920</orcidid><orcidid>https://orcid.org/0000-0003-0727-7611</orcidid><orcidid>https://orcid.org/0000-0002-6412-5879</orcidid><orcidid>https://orcid.org/0000-0003-0323-4964</orcidid><orcidid>https://orcid.org/0000-0001-6388-4390</orcidid><orcidid>https://orcid.org/0000-0003-1551-4437</orcidid><orcidid>https://orcid.org/0000-0002-7337-296X</orcidid></addata></record> |
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subjects | clinical decision support system digital health immunosuppression pediatric liver transplant personalized medicine phenotypic response retrospective analysis |
title | CURATE.AI—Artificial Intelligence‐Derived Personalized Tacrolimus Dosing for Pediatric Liver Transplant: A Retrospective Study |
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