Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
Background The widespread use of immune checkpoint inhibitors (ICIs) has revolutionised
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …
treatment of multiple cancer types. However, selecting patients who may benefit from ICI …
Advances in artificial intelligence to predict cancer immunotherapy efficacy
Tumor immunotherapy, particularly the use of immune checkpoint inhibitors, has yielded
impressive clinical benefits. Therefore, it is critical to accurately screen individuals for …
impressive clinical benefits. Therefore, it is critical to accurately screen individuals for …
Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors
Immune checkpoint inhibitors (ICIs) show prominent clinical activity across multiple
advanced tumors. However, less than half of patients respond even after molecule-based …
advanced tumors. However, less than half of patients respond even after molecule-based …
Targeting the tumor biophysical microenvironment to reduce resistance to immunotherapy
Immunotherapy based on immune checkpoint inhibitors has evolved into a new pillar of
cancer treatment in clinics, but dealing with treatment resistance (either primary or acquired) …
cancer treatment in clinics, but dealing with treatment resistance (either primary or acquired) …
[HTML][HTML] Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …
association between tumor size and outcome that currently forms the basis for imaging …
Cold and heterogeneous T cell repertoire is associated with copy number aberrations and loss of immune genes in small-cell lung cancer
Small-cell lung cancer (SCLC) is speculated to harbor complex genomic intratumor
heterogeneity (ITH) associated with high recurrence rate and suboptimal response to …
heterogeneity (ITH) associated with high recurrence rate and suboptimal response to …
Artificial intelligence in cancer immunotherapy: applications in neoantigen recognition, antibody design and immunotherapy response prediction
Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the
body's cancer-immunity cycle and restoring its antitumor immune response. The increased …
body's cancer-immunity cycle and restoring its antitumor immune response. The increased …
A disease network‐based deep learning approach for characterizing melanoma
X Lai, J Zhou, A Wessely, M Heppt… - … journal of cancer, 2022 - Wiley Online Library
Multiple types of genomic variations are present in cutaneous melanoma and some of the
genomic features may have an impact on the prognosis of the disease. The access to …
genomic features may have an impact on the prognosis of the disease. The access to …
Combination strategies for immune-checkpoint blockade and response prediction by artificial intelligence
F Huemer, M Leisch, R Geisberger, T Melchardt… - International journal of …, 2020 - mdpi.com
The therapeutic concept of unleashing a pre-existing immune response against the tumor by
the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in …
the application of immune-checkpoint inhibitors (ICI) has resulted in long-term survival in …
[HTML][HTML] Random survival forest model identifies novel biomarkers of event-free survival in high-risk pediatric acute lymphoblastic leukemia
ZS Bohannan, F Coffman, A Mitrofanova - Computational and structural …, 2022 - Elsevier
High-risk pediatric B-ALL patients experience 5-year negative event rates up to 25%.
Although some biomarkers of relapse are utilized in the clinic, their ability to predict …
Although some biomarkers of relapse are utilized in the clinic, their ability to predict …