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Artificial intelligence-based multi-omics analysis fuels cancer precision medicine
With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …
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
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 …
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 …
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
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 …
drug response prediction. Recent evidence suggests that integrating additional omics can …
The proteomic landscape of soft tissue sarcomas
Soft tissue sarcomas (STS) are rare and diverse mesenchymal cancers with limited
treatment options. Here we undertake comprehensive proteomic profiling of tumour …
treatment options. Here we undertake comprehensive proteomic profiling of tumour …
Machine learning and feature selection for drug response prediction in precision oncology applications
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 …
cancer cell lines or patient tumors is providing new opportunities toward identification of …
[HTML][HTML] Machine learning in the prediction of cancer therapy
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 …
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
Cancer is the manifestation of abnormalities of different physiological processes involving
genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in …
genes, DNAs, RNAs, proteins, and other biomolecules whose profiles are reflected in …
Rethinking drug repositioning and development with artificial intelligence, machine learning, and omics
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 …
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
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 …
early diagnosis and therapeutic intervention are fundamental for saving the patient's life …