[PDF][PDF] The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth

KE de Visser, JA Joyce - Cancer Cell, 2023 - cell.com
Cancers represent complex ecosystems comprising tumor cells and a multitude of non-
cancerous cells, embedded in an altered extracellular matrix. The tumor microenvironment …

Harnessing multimodal data integration to advance precision oncology

KM Boehm, P Khosravi, R Vanguri, J Gao… - Nature Reviews …, 2022 - nature.com
Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …

Targeting ferroptosis opens new avenues for the development of novel therapeutics

S Sun, J Shen, J Jiang, F Wang, J Min - Signal transduction and …, 2023 - nature.com
Ferroptosis is an iron-dependent form of regulated cell death with distinct characteristics,
including altered iron homeostasis, reduced defense against oxidative stress, and abnormal …

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine

X He, X Liu, F Zuo, H Shi, J Jing - Seminars in Cancer Biology, 2023 - Elsevier
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

[HTML][HTML] Artificial intelligence in oncology: current applications and future perspectives

C Luchini, A Pea, A Scarpa - British Journal of Cancer, 2022 - nature.com
Artificial intelligence (AI) is concretely reshaping the landscape and horizons of oncology,
opening new important opportunities for improving the management of cancer patients …

Artificial intelligence in oncology: current capabilities, future opportunities, and ethical considerations

JT Shreve, SA Khanani, TC Haddad - American Society of Clinical …, 2022 - ascopubs.org
The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …

[HTML][HTML] Artificial intelligence in pancreatic cancer

B Huang, H Huang, S Zhang, D Zhang, Q Shi, J Liu… - Theranostics, 2022 - ncbi.nlm.nih.gov
Pancreatic cancer is the deadliest disease, with a five-year overall survival rate of just 11%.
The pancreatic cancer patients diagnosed with early screening have a median overall …

[HTML][HTML] An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer

RO Alabi, A Almangush, M Elmusrati, I Leivo… - International Journal of …, 2022 - Elsevier
Background The optimal management of oropharyngeal squamous cell carcinoma (OPSCC)
includes both surgical and non-surgical, that is,(chemo) radiotherapy treatment options and …

Predicting EGFR mutation status in non–small cell lung cancer using artificial intelligence: a systematic review and meta-analysis

HS Nguyen, DKN Ho, NN Nguyen, HM Tran… - Academic …, 2024 - Elsevier
Rationale and Objectives Recent advancements in artificial intelligence (AI) render a
substantial promise for epidermal growth factor receptor (EGFR) mutation status prediction …

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective

M Sufyan, Z Shokat, UA Ashfaq - Computers in Biology and Medicine, 2023 - Elsevier
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases,
such as skin, breast, and lung cancer. AI is an advanced form of technology that uses …