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

S O'Sullivan; Andreas Holzinger; D Wichmann; PHN Saldiva; MI Sajid; Kurt Zatloukal

doi:10.4322/acr.2018.003

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

S O'Sullivan
, Andreas Holzinger
, D Wichmann
, PHN Saldiva
, MI Sajid
, Kurt Zatloukal (Last author)

Research output: Contribution to journal › Case report

Original language	English
Journal	Autopsy and Case Reports
DOIs	https://doi.org/10.4322/acr.2018.003
Publication status	Published - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Branches of science

301 Medical-Theoretical Sciences, Pharmacy
305 Other Human Medicine, Health Sciences
102 Computer Sciences

Research Fields

Cancer Research
Sustainable Health Research

DOI

10.4322/acr.2018.003

Links

Cite this

@article{cf8932dacdc14165ad571196577051b0,

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

author = "S O'Sullivan and Andreas Holzinger and D Wichmann and PHN Saldiva and MI Sajid and Kurt Zatloukal",

year = "2018",

doi = "10.4322/acr.2018.003",

language = "English",

journal = "Autopsy and Case Reports",

issn = "2236-1960",

publisher = "Hospital Universitario da Universidade de Sao Paulo",

}

TY - JOUR

T1 - Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients.

AU - O'Sullivan, S

AU - Holzinger, Andreas

AU - Wichmann, D

AU - Saldiva, PHN

AU - Sajid, MI

A2 - Zatloukal, Kurt

PY - 2018

Y1 - 2018

UR - https://pubmed.ncbi.nlm.nih.gov/29515978

UR - https://pmc.ncbi.nlm.nih.gov/articles/PMC5828285

U2 - 10.4322/acr.2018.003

DO - 10.4322/acr.2018.003

M3 - Case report

C2 - 29515978

SN - 2236-1960

JO - Autopsy and Case Reports

JF - Autopsy and Case Reports

ER -