Künstliche Intelligenz in der Krebstherapie

Autores
Kalweit, Gabriel; Kalweit, Maria; Mastroleo, Ignacio Damian; Bödecker, Joschka; Mertelsmann, Roland
Año de publicación
2023
Idioma
alemán
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The number of computer and data-supported tools is increasing rapidly in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumor modeling to the prognosis of disease progression. However, the sheer combinatorial complexity of this disease, which results from more potential combinations of cancerous mutations than atoms in the universe, leads to the need for individually optimized cancer treatment for each patient. The use of artificial intelligence to optimize therapeutic interventions aimed at controlling cancer within clinically meaningful limits is still a very uncharted territory that has rarely been explored beyond pure in silico experiments. In this manuscript, we explain the basics of artificial intelligence, show some applications already established today, give a vision of an AI-controlled therapeutic system and briefly discuss some general ethical considerations.
Fil: Kalweit, Gabriel. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Albert Ludwigs University of Freiburg; Alemania
Fil: Kalweit, Maria. Albert Ludwigs University of Freiburg; Alemania. Colaborative Research Inst. Inteligent Oncology Criion; Alemania
Fil: Mastroleo, Ignacio Damian. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Facultad Latinoamericana de Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bödecker, Joschka. Albert Ludwigs University of Freiburg; Alemania
Fil: Mertelsmann, Roland. Albert Ludwigs University of Freiburg; Alemania
Materia
ARTIFICIAL INTELLIGENCE
CANCER MEDICAL TREATMENT
CANCER RESEARCH
MACHINE LEARNING
REINFORCED LEARNING
ETHICAL CONSIDERATIONS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/229788
Acceder
id CONICETDig_de6a462ee1b9fe79110bcf908ca55a4e
oai_identifier_str oai:ri.conicet.gov.ar:11336/229788
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Künstliche Intelligenz in der KrebstherapieArtificial Intelligence in cancer therapyKalweit, GabrielKalweit, MariaMastroleo, Ignacio DamianBödecker, JoschkaMertelsmann, RolandARTIFICIAL INTELLIGENCECANCER MEDICAL TREATMENTCANCER RESEARCHMACHINE LEARNINGREINFORCED LEARNINGETHICAL CONSIDERATIONShttps://purl.org/becyt/ford/6.3https://purl.org/becyt/ford/6https://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3https://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3The number of computer and data-supported tools is increasing rapidly in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumor modeling to the prognosis of disease progression. However, the sheer combinatorial complexity of this disease, which results from more potential combinations of cancerous mutations than atoms in the universe, leads to the need for individually optimized cancer treatment for each patient. The use of artificial intelligence to optimize therapeutic interventions aimed at controlling cancer within clinically meaningful limits is still a very uncharted territory that has rarely been explored beyond pure in silico experiments. In this manuscript, we explain the basics of artificial intelligence, show some applications already established today, give a vision of an AI-controlled therapeutic system and briefly discuss some general ethical considerations.Fil: Kalweit, Gabriel. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Albert Ludwigs University of Freiburg; AlemaniaFil: Kalweit, Maria. Albert Ludwigs University of Freiburg; Alemania. Colaborative Research Inst. Inteligent Oncology Criion; AlemaniaFil: Mastroleo, Ignacio Damian. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Facultad Latinoamericana de Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bödecker, Joschka. Albert Ludwigs University of Freiburg; AlemaniaFil: Mertelsmann, Roland. Albert Ludwigs University of Freiburg; AlemaniaUniversity of Freiburg2023-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/229788Kalweit, Gabriel; Kalweit, Maria; Mastroleo, Ignacio Damian; Bödecker, Joschka; Mertelsmann, Roland; Künstliche Intelligenz in der Krebstherapie; University of Freiburg; Ordnung der Wissenschaft; 1; 10-2023; 17-222197-9197CONICET DigitalCONICETdeuinfo:eu-repo/semantics/altIdentifier/url/https://ordnungderwissenschaft.de/wp-content/uploads/2022/12/02_01_mertelsmann.pdfinfo:eu-repo/semantics/altIdentifier/doi/10.17176/20221219-115557-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:13Zoai:ri.conicet.gov.ar:11336/229788instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:45:14.114CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Künstliche Intelligenz in der Krebstherapie
Artificial Intelligence in cancer therapy
title Künstliche Intelligenz in der Krebstherapie
spellingShingle Künstliche Intelligenz in der Krebstherapie
Kalweit, Gabriel
ARTIFICIAL INTELLIGENCE
CANCER MEDICAL TREATMENT
CANCER RESEARCH
MACHINE LEARNING
REINFORCED LEARNING
ETHICAL CONSIDERATIONS
title_short Künstliche Intelligenz in der Krebstherapie
title_full Künstliche Intelligenz in der Krebstherapie
title_fullStr Künstliche Intelligenz in der Krebstherapie
title_full_unstemmed Künstliche Intelligenz in der Krebstherapie
title_sort Künstliche Intelligenz in der Krebstherapie
dc.creator.none.fl_str_mv Kalweit, Gabriel
Kalweit, Maria
Mastroleo, Ignacio Damian
Bödecker, Joschka
Mertelsmann, Roland
author Kalweit, Gabriel
author_facet Kalweit, Gabriel
Kalweit, Maria
Mastroleo, Ignacio Damian
Bödecker, Joschka
Mertelsmann, Roland
author_role author
author2 Kalweit, Maria
Mastroleo, Ignacio Damian
Bödecker, Joschka
Mertelsmann, Roland
author2_role author
author
author
author
dc.subject.none.fl_str_mv ARTIFICIAL INTELLIGENCE
CANCER MEDICAL TREATMENT
CANCER RESEARCH
MACHINE LEARNING
REINFORCED LEARNING
ETHICAL CONSIDERATIONS
topic ARTIFICIAL INTELLIGENCE
CANCER MEDICAL TREATMENT
CANCER RESEARCH
MACHINE LEARNING
REINFORCED LEARNING
ETHICAL CONSIDERATIONS
purl_subject.fl_str_mv https://purl.org/becyt/ford/6.3
https://purl.org/becyt/ford/6
https://purl.org/becyt/ford/3.4
https://purl.org/becyt/ford/3
https://purl.org/becyt/ford/3.3
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The number of computer and data-supported tools is increasing rapidly in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumor modeling to the prognosis of disease progression. However, the sheer combinatorial complexity of this disease, which results from more potential combinations of cancerous mutations than atoms in the universe, leads to the need for individually optimized cancer treatment for each patient. The use of artificial intelligence to optimize therapeutic interventions aimed at controlling cancer within clinically meaningful limits is still a very uncharted territory that has rarely been explored beyond pure in silico experiments. In this manuscript, we explain the basics of artificial intelligence, show some applications already established today, give a vision of an AI-controlled therapeutic system and briefly discuss some general ethical considerations.
Fil: Kalweit, Gabriel. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Albert Ludwigs University of Freiburg; Alemania
Fil: Kalweit, Maria. Albert Ludwigs University of Freiburg; Alemania. Colaborative Research Inst. Inteligent Oncology Criion; Alemania
Fil: Mastroleo, Ignacio Damian. Colaborative Research Inst. Inteligent Oncology Criion; Alemania. Facultad Latinoamericana de Ciencias Sociales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bödecker, Joschka. Albert Ludwigs University of Freiburg; Alemania
Fil: Mertelsmann, Roland. Albert Ludwigs University of Freiburg; Alemania
description The number of computer and data-supported tools is increasing rapidly in the field of oncology. Corresponding methods are finding their way into almost all areas of application, from diagnostic systems and tumor modeling to the prognosis of disease progression. However, the sheer combinatorial complexity of this disease, which results from more potential combinations of cancerous mutations than atoms in the universe, leads to the need for individually optimized cancer treatment for each patient. The use of artificial intelligence to optimize therapeutic interventions aimed at controlling cancer within clinically meaningful limits is still a very uncharted territory that has rarely been explored beyond pure in silico experiments. In this manuscript, we explain the basics of artificial intelligence, show some applications already established today, give a vision of an AI-controlled therapeutic system and briefly discuss some general ethical considerations.
publishDate 2023
dc.date.none.fl_str_mv 2023-10
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/229788
Kalweit, Gabriel; Kalweit, Maria; Mastroleo, Ignacio Damian; Bödecker, Joschka; Mertelsmann, Roland; Künstliche Intelligenz in der Krebstherapie; University of Freiburg; Ordnung der Wissenschaft; 1; 10-2023; 17-22
2197-9197
CONICET Digital
CONICET
url http://hdl.handle.net/11336/229788
identifier_str_mv Kalweit, Gabriel; Kalweit, Maria; Mastroleo, Ignacio Damian; Bödecker, Joschka; Mertelsmann, Roland; Künstliche Intelligenz in der Krebstherapie; University of Freiburg; Ordnung der Wissenschaft; 1; 10-2023; 17-22
2197-9197
CONICET Digital
CONICET
dc.language.none.fl_str_mv deu
language deu
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ordnungderwissenschaft.de/wp-content/uploads/2022/12/02_01_mertelsmann.pdf
info:eu-repo/semantics/altIdentifier/doi/10.17176/20221219-115557-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv University of Freiburg
publisher.none.fl_str_mv University of Freiburg
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613420516638720
score 13.070432

Publicaciones similares