Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
C Zhang, J Xu, R Tang, J Yang, W Wang, X Yu… - Journal of Hematology & …, 2023 - Springer
Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …
biology of cancer has grown as a result of the widespread use of deep learning and …
[HTML][HTML] 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 …
Identification of lactylation related model to predict prognostic, tumor infiltrating immunocytes and response of immunotherapy in gastric cancer
H Yang, X Zou, S Yang, A Zhang, N Li… - Frontiers in immunology, 2023 - frontiersin.org
Background The epigenetic regulatory chemical lactate is a product of glycolysis. It can
regulate gene expression through histone lactylation, thereby promoting tumor proliferation …
regulate gene expression through histone lactylation, thereby promoting tumor proliferation …
Turning up a new pattern: Identification of cancer-associated fibroblast-related clusters in TNBC
J **e, S Zheng, Y Zou, Y Tang, W Tian… - Frontiers in …, 2022 - frontiersin.org
Growing evidence indicates a connection between cancer-associated fibroblasts (CAFs)
and tumor microenvironment (TME) remodeling and tumor progression. Nevertheless, how …
and tumor microenvironment (TME) remodeling and tumor progression. Nevertheless, how …
Informing immunotherapy with multi-omics driven machine learning
Progress in sequencing technologies and clinical experiments has revolutionized
immunotherapy on solid and hematologic malignancies. However, the benefits of …
immunotherapy on solid and hematologic malignancies. However, the benefits of …
The tertiary lymphoid structure-related signature identified PTGDS in regulating PD-L1 and promoting the proliferation and migration of glioblastoma
W Wu, H Li, Z Wang, Z Dai, X Liang, P Luo, K Liu… - Heliyon, 2024 - cell.com
Background Tertiary lymphoid structure (TLS) is a unique organ that carries out tumor cell
elimination at tumor sites. It is continuously stimulated by inflammatory tumor signals and …
elimination at tumor sites. It is continuously stimulated by inflammatory tumor signals and …
A three-stage eccDNA based molecular profiling significantly improves the identification, prognosis assessment and recurrence prediction accuracy in patients with …
Z Li, B Wang, H Liang, Y Li, Z Zhang, L Han - Cancer Letters, 2023 - Elsevier
Glioblastoma (GBM) progression is influenced by intratumoral heterogeneity. Emerging
evidence has emphasized the pivotal role of extrachromosomal circular DNA (eccDNA) in …
evidence has emphasized the pivotal role of extrachromosomal circular DNA (eccDNA) in …
[HTML][HTML] Mime: A flexible machine-learning framework to construct and visualize models for clinical characteristics prediction and feature selection
H Liu, W Zhang, Y Zhang, AA Adegboro… - Computational and …, 2024 - Elsevier
The widespread use of high-throughput sequencing technologies has revolutionized the
understanding of biology and cancer heterogeneity. Recently, several machine-learning …
understanding of biology and cancer heterogeneity. Recently, several machine-learning …
Long Noncoding RNAs and cancer stem cells: dangerous liaisons managing cancer
SA Ciafrè, M Russo, A Michienzi, S Galardi - International Journal of …, 2023 - mdpi.com
Decades of research have investigated the mechanisms that lead to the origin of cancer,
striving to identify tumor-initiating cells. These cells, also known as cancer stem cells, are …
striving to identify tumor-initiating cells. These cells, also known as cancer stem cells, are …
Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
S Li, N Zhang, H Zhang, R Zhou, Z Li, X Yang, W Wu… - Journal of Big Data, 2023 - Springer
Triple-negative breast cancer (TNBC) is a relatively aggressive breast cancer subtype due to
tumor relapse, drug resistance, and multi-organ metastatic properties. Identifying reliable …
tumor relapse, drug resistance, and multi-organ metastatic properties. Identifying reliable …