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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 (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 …
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 …
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 …
Liquid biopsy for human cancer: cancer screening, monitoring, and treatment
H Wang, Y Zhang, H Zhang, H Cao, J Mao, X Chen… - MedComm, 2024 - Wiley Online Library
Currently, tumor treatment modalities such as immunotherapy and targeted therapy have
more stringent requirements for obtaining tumor growth information and require more …
more stringent requirements for obtaining tumor growth information and require more …
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 …