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

X He, X Liu, F Zuo, H Shi, J **g - 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] The need for multi-omics biomarker signatures in precision medicine

M Olivier, R Asmis, GA Hawkins, TD Howard… - International journal of …, 2019 - mdpi.com
Recent advances in omics technologies have led to unprecedented efforts characterizing
the molecular changes that underlie the development and progression of a wide array of …

Multi-OMICS approaches in cancer biology: New era in cancer therapy

S Chakraborty, G Sharma, S Karmakar… - Biochimica et Biophysica …, 2024 - Elsevier
Innovative multi-omics frameworks integrate diverse datasets from the same patients to
enhance our understanding of the molecular and clinical aspects of cancers. Advanced …

MOLI: multi-omics late integration with deep neural networks for drug response prediction

H Sharifi-Noghabi, O Zolotareva, CC Collins… - …, 2019 - academic.oup.com
Motivation Historically, gene expression has been shown to be the most informative data for
drug response prediction. Recent evidence suggests that integrating additional omics can …

The proteomic landscape of soft tissue sarcomas

J Burns, CP Wilding, L Krasny, X Zhu… - Nature …, 2023 - nature.com
Soft tissue sarcomas (STS) are rare and diverse mesenchymal cancers with limited
treatment options. Here we undertake comprehensive proteomic profiling of tumour …

Machine learning and feature selection for drug response prediction in precision oncology applications

M Ali, T Aittokallio - Biophysical reviews, 2019 - Springer
In-depth modeling of the complex interplay among multiple omics data measured from
cancer cell lines or patient tumors is providing new opportunities toward identification of …

[HTML][HTML] Machine learning in the prediction of cancer therapy

R Rafique, SMR Islam, JU Kazi - Computational and Structural …, 2021 - Elsevier
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …

Artificial intelligence (AI)-based systems biology approaches in multi-omics data analysis of cancer

N Biswas, S Chakrabarti - Frontiers in oncology, 2020 - frontiersin.org
Cancer is the manifestation of abnormalities of different physiological processes involving
genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in …

Rethinking drug repositioning and development with artificial intelligence, machine learning, and omics

M Koromina, MT Pandi, GP Patrinos - Omics: a journal of integrative …, 2019 - liebertpub.com
Pharmaceutical industry and the art and science of drug development are sorely in need of
novel transformative technologies in the current age of digital health and artificial …

[HTML][HTML] Systems biology in cancer diagnosis integrating omics technologies and artificial intelligence to support physician decision making

A Fawaz, A Ferraresi, C Isidoro - Journal of Personalized Medicine, 2023 - mdpi.com
Cancer is the second major cause of disease-related death worldwide, and its accurate
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …