Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients

Detalles Bibliográficos
Autores principales: O’Sullivan, Shane, Holzinger, Andreas, Wichmann, Dominic, Saldiva, Paulo Hilario Nascimento, Sajid, Mohammed Imran, Zatloukal, Kurt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: São Paulo, SP: Universidade de São Paulo, Hospital Universitário 2018
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828285/
https://www.ncbi.nlm.nih.gov/pubmed/29515978
http://dx.doi.org/10.4322/acr.2018.003
_version_ 1783302609301405696
author O’Sullivan, Shane
Holzinger, Andreas
Wichmann, Dominic
Saldiva, Paulo Hilario Nascimento
Sajid, Mohammed Imran
Zatloukal, Kurt
author_facet O’Sullivan, Shane
Holzinger, Andreas
Wichmann, Dominic
Saldiva, Paulo Hilario Nascimento
Sajid, Mohammed Imran
Zatloukal, Kurt
author_sort O’Sullivan, Shane
collection PubMed
description
format Online
Article
Text
id pubmed-5828285
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher São Paulo, SP: Universidade de São Paulo, Hospital Universitário
record_format MEDLINE/PubMed
spelling pubmed-58282852018-03-07 Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients O’Sullivan, Shane Holzinger, Andreas Wichmann, Dominic Saldiva, Paulo Hilario Nascimento Sajid, Mohammed Imran Zatloukal, Kurt Autops Case Rep Letter to the Editor São Paulo, SP: Universidade de São Paulo, Hospital Universitário 2018-02-27 /pmc/articles/PMC5828285/ /pubmed/29515978 http://dx.doi.org/10.4322/acr.2018.003 Text en Autopsy and Case Reports. ISSN 2236-1960. Copyright © 2018. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the article is properly cited.
spellingShingle Letter to the Editor
O’Sullivan, Shane
Holzinger, Andreas
Wichmann, Dominic
Saldiva, Paulo Hilario Nascimento
Sajid, Mohammed Imran
Zatloukal, Kurt
Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title_full Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title_fullStr Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title_full_unstemmed Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title_short Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
title_sort virtual autopsy: machine learning and ai provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828285/
https://www.ncbi.nlm.nih.gov/pubmed/29515978
http://dx.doi.org/10.4322/acr.2018.003
work_keys_str_mv AT osullivanshane virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients
AT holzingerandreas virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients
AT wichmanndominic virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients
AT saldivapaulohilarionascimento virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients
AT sajidmohammedimran virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients
AT zatloukalkurt virtualautopsymachinelearningandaiprovidenewopportunitiesforinvestigatingminimaltumorburdenandtherapyresistancebycancerpatients

Ejemplares similares