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 …

Advances in PET imaging of cancer

J Schwenck, D Sonanini, JM Cotton… - Nature Reviews …, 2023 - nature.com
Molecular imaging has experienced enormous advancements in the areas of imaging
technology, imaging probe and contrast development, and data quality, as well as machine …

Artificial intelligence for precision oncology: beyond patient stratification

F Azuaje - NPJ precision oncology, 2019 - nature.com
The data-driven identification of disease states and treatment options is a crucial challenge
for precision oncology. Artificial intelligence (AI) offers unique opportunities for enhancing …

A data management infrastructure for the integration of imaging and omics data in life sciences

L Kuhn Cuellar, A Friedrich, G Gabernet… - BMC …, 2022 - Springer
Background As technical developments in omics and biomedical imaging increase the
throughput of data generation in life sciences, the need for information systems capable of …

Quantification of intratumoural heterogeneity in mice and patients via machine-learning models trained on PET–MRI data

P Katiyar, J Schwenck, L Frauenfeld… - Nature Biomedical …, 2023 - nature.com
In oncology, intratumoural heterogeneity is closely linked with the efficacy of therapy, and
can be partially characterized via tumour biopsies. Here we show that intratumoural …

Multiparametric MRI and coregistered histology identify tumor habitats in breast cancer mouse models

BV Jardim-Perassi, S Huang, W Dominguez-Viqueira… - Cancer research, 2019 - AACR
It is well-recognized that solid tumors are genomically, anatomically, and physiologically
heterogeneous. In general, more heterogeneous tumors have poorer outcomes, likely due to …

Spatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective

Y Xiao, Y Li, H Zhao - Molecular Cancer, 2024 - Springer
Metabolic reprogramming drives the development of an immunosuppressive tumor
microenvironment (TME) through various pathways, contributing to cancer progression and …

DJ-1 (Park7) affects the gut microbiome, metabolites and the development of innate lymphoid cells (ILCs)

Y Singh, C Trautwein, A Dhariwal, MS Salker… - Scientific reports, 2020 - nature.com
The proper communication between gut and brain is pivotal for the maintenance of health
and, dysregulation of the gut-brain axis can lead to several clinical disorders. In Parkinson's …

Machine learning identifies multi-parametric functional PET/MR imaging cluster to predict radiation resistance in preclinical head and neck cancer models

S Boeke, RM Winter, S Leibfarth, MA Krueger… - European Journal of …, 2023 - Springer
Purpose Tumor hypoxia and other microenvironmental factors are key determinants of
treatment resistance. Hypoxia positron emission tomography (PET) and functional magnetic …

Three-dimensional printed molds for image-guided surgical biopsies: an open source computational platform

M Crispin-Ortuzar, M Gehrung, S Ursprung… - JCO Clinical Cancer …, 2020 - ascopubs.org
PURPOSE Spatial heterogeneity of tumors is a major challenge in precision oncology. The
relationship between molecular and imaging heterogeneity is still poorly understood …