A narrative review of spatial multi-omics and organ-on-a-chip technologies for cardio-cerebral-renal crosstalk. [PDF]
Cheng K +7 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
OmniCorr: an R-package for visualizing putative host-microbiome interactions using multi-omics data. [PDF]
Gupta S +9 more
europepmc +1 more source
Spatial dynamics in health and disease: from neurodevelopment to therapeutic target identification for inflammatory diseases. [PDF]
Barberis M, Xie J.
europepmc +1 more source
CA-CAE: A deep learning-based multi-omics model for pan-cancer subtype classification and prognosis prediction. [PDF]
Zhang S +5 more
europepmc +1 more source
Robust graph structure learning to improve multi-omics cancer subtype classification. [PDF]
Guo M, Ye X, Sakurai T.
europepmc +1 more source
Advances in the application of multi-omics in tumor immunotherapy. [PDF]
Zhang T, Luo QY, Zhu Y.
europepmc +1 more source
Multiomics Research Strategies in Cancer: A Growing and Innovative Field. [PDF]
Du Z +8 more
europepmc +1 more source

