[HTML][HTML] Immunotherapy in bladder cancer: current methods and future perspectives

M Wołącewicz, R Hrynkiewicz, E Grywalska… - Cancers, 2020 - mdpi.com
Bladder cancer is one of the most significant genitourinary cancer, causing high morbidity
and mortality in a great number of patients. Over the years, various treatment methods for …

[HTML][HTML] Deep learning classification of lung cancer histology using CT images

TL Chaunzwa, A Hosny, Y Xu, A Shafer, N Diao… - Scientific reports, 2021 - nature.com
Tumor histology is an important predictor of therapeutic response and outcomes in lung
cancer. Tissue sampling for pathologist review is the most reliable method for histology …

[HTML][HTML] Delta-radiomics in cancer immunotherapy response prediction: A systematic review

E Abbas, SC Fanni, C Bandini, R Francischello… - European Journal of …, 2023 - Elsevier
Background The new immunotherapies have not only changed the oncological therapeutic
approach but have also made it necessary to develop new imaging methods for assessing …

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans

M Pennisi, I Kavasidis, C Spampinato… - Artificial intelligence in …, 2021 - Elsevier
COVID-19 infection caused by SARS-CoV-2 pathogen has been a catastrophic pandemic
outbreak all over the world, with exponential increasing of confirmed cases and …

Radiomics-based machine learning for outcome prediction in a multicenter phase II study of programmed death-ligand 1 inhibition immunotherapy for glioblastoma

E George, E Flagg, K Chang, HX Bai, HJ Aerts… - American Journal of …, 2022 - ajnr.org
BACKGROUND AND PURPOSE: Imaging assessment of an immunotherapy response in
glioblastoma is challenging due to overlap in the appearance of treatment-related changes …

Molecular MRI-based monitoring of cancer immunotherapy treatment response

N Vladimirov, O Perlman - International Journal of Molecular Sciences, 2023 - mdpi.com
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several
indications has yielded improved prognosis for cases where traditional therapy has shown …

[HTML][HTML] Radiomics for the prediction of overall survival in patients with bladder cancer prior to radical cystectomy

P Woźnicki, FC Laqua, K Messmer, WG Kunz, C Stief… - Cancers, 2022 - mdpi.com
Simple Summary Accurate prognostic assessment of bladder cancer patients is essential for
risk stratification, individualized therapeutic decision-making and follow-up management. In …

Machine learning using real-world and translational data to improve treatment selection for NSCLC patients treated with immunotherapy

A Prelaj, M Boeri, A Robuschi, R Ferrara, C Proto… - Cancers, 2022 - mdpi.com
Simple Summary In this paper, the authors show that artificial intelligence (AI) and machine
learning (ML) are useful approaches to integrate multifactorial data and helpful for …

Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning

X Wang, Y Jiang, H Chen, T Zhang, Z Han… - Radiotherapy and …, 2023 - Elsevier
Background and purpose Immunotherapy is a standard treatment for many tumor types.
However, only a small proportion of patients derive clinical benefit and reliable predictive …

Prevention and treatment of side effects of immunotherapy for bladder cancer

K Lou, S Feng, G Zhang, J Zou, X Zou - Frontiers in Oncology, 2022 - frontiersin.org
Bladder cancer (BC) is one of the most important tumors of the genitourinary system,
associated with high morbidity and mortality rates. Over the years, various antitumor …