Prediction of Effectiveness and Toxicities of Immune Checkpoint Inhibitors Using Real-World Patient Data
L Lippenszky, KF Mittendorf, Z Kiss… - JCO Clinical Cancer …, 2024 - ascopubs.org
PURPOSE Although immune checkpoint inhibitors (ICIs) have improved outcomes in certain
patients with cancer, they can also cause life-threatening immunotoxicities. Predicting …
patients with cancer, they can also cause life-threatening immunotoxicities. Predicting …
Network-based machine learning approach to predict immunotherapy response in cancer patients
Immune checkpoint inhibitors (ICIs) have substantially improved the survival of cancer
patients over the past several years. However, only a minority of patients respond to ICI …
patients over the past several years. However, only a minority of patients respond to ICI …
Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies
S Iivanainen, J Ekstrom, H Virtanen, VV Kataja… - BMC Medical Informatics …, 2021 - Springer
Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-
related adverse events (irAEs), arising from various organ systems without strong timely …
related adverse events (irAEs), arising from various organ systems without strong timely …
Biology-aware mutation-based deep learning for outcome prediction of cancer immunotherapy with immune checkpoint inhibitors
The response rate of cancer immune checkpoint inhibitors (ICI) varies among patients,
making it challenging to pre-determine whether a particular patient will respond to …
making it challenging to pre-determine whether a particular patient will respond to …
A pan-cancer approach to predict responsiveness to immune checkpoint inhibitors by machine learning
M Polano, M Chierici, M Dal Bo, D Gentilini, F Di Cintio… - Cancers, 2019 - mdpi.com
Immunotherapy by using immune checkpoint inhibitors (ICI) has dramatically improved the
treatment options in various cancers, increasing survival rates for treated patients …
treatment options in various cancers, increasing survival rates for treated patients …
Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
Background The widespread use of Immune checkpoint-inhibitors (ICI) 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 …
A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN …
2619 Background: Immune checkpoint inhibitors (ICIs) have made significant improvements
in the treatment of cancer patients (pts), but many continue to experience primary or …
in the treatment of cancer patients (pts), but many continue to experience primary or …
Improved prediction of immune checkpoint blockade efficacy across multiple cancer types
Only a fraction of patients with cancer respond to immune checkpoint blockade (ICB)
treatment, but current decision-making procedures have limited accuracy. In this study, we …
treatment, but current decision-making procedures have limited accuracy. In this study, we …
Construction and evaluation of clinical prediction model for immunotherapy-related adverse events and clinical benefit in cancer patients receiving immune checkpoint …
N Zhao, A Jiang, X Shang, F Zhao, R Wang… - Journal of …, 2023 - journals.lww.com
Immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic landscape of cancer
therapy. This study aimed to develop novel risk classifiers to predict the risk of immune …
therapy. This study aimed to develop novel risk classifiers to predict the risk of immune …
[HTML][HTML] Predicting cardiac adverse events in patients receiving immune checkpoint inhibitors: a machine learning approach
SP Heilbroner, R Few, TG Neilan… - … for immunotherapy of …, 2021 - ncbi.nlm.nih.gov
Background Treatment with immune checkpoint inhibitors (ICIs) has been associated with
an increased rate of cardiac events. There are limited data on the risk factors that predict …
an increased rate of cardiac events. There are limited data on the risk factors that predict …