Faculty, Staff and Student Publications
Publication Date
10-26-2024
Journal
The Journal for ImmunoTherapy of Cancer
DOI
10.1136/jitc-2024-009721
PMID
39461879
PMCID
PMC11529678
PubMedCentral® Posted Date
10-26-2024
PubMedCentral® Full Text Version
Post-print
Abstract
Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming the standard treatment across histologies. Despite these advancements, the majority of patients do not experience durable clinical benefits, highlighting the imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects with oncology, immunology, and clinical research, with the overarching goal to accelerate the development of effective and safe immuno-oncology treatments from the laboratory to the clinic. In this review, we outline 10 critical challenges and opportunities in computational immuno-oncology, emphasizing the importance of robust computational strategies and interdisciplinary collaborations amid the constantly evolving interplay between clinical needs and technological innovation.
Keywords
Humans, Immunotherapy, Medical Oncology, Neoplasms, Computational Biology, Immunotherapy, Biomarker, Education, Immune related adverse event - irAE, Statistics
Published Open-Access
yes
Recommended Citation
Bao, Riyue; Hutson, Alan; Madabhushi, Anant; et al., "Ten Challenges and Opportunities in Computational Immuno-Oncology" (2024). Faculty, Staff and Student Publications. 4586.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/4586
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons