Artifical intelligence tools to improve immunotherapy response
November 2018
University of Oxford, Oxford, United Kingdom
The study provides an outline to machine learning (ML) and artificial intelligence tools allowing analysis of complex morphological phenotypes together with multiomics datasets. Computational tools will help to derive complete, standardized, and reproducible datasets to facilitate the individualized prediction of immunotherapy response. Recognition of computational pathology by professional medical societies will be essential to meet future clinical demands for optimal patient care.
Precision immunoprofiling by image analysis and artificial intelligence
Viktor H. Koelzer
Added on: 07-06-2021
[1] https://link.springer.com/article/10.1007/s00428-018-2485-z[2] https://data.jrc.ec.europa.eu/dataset/352f7dfd-05cf-434b-a96a-7e270dc76573
