A recent study has developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the potential of AI-driven multi-omics applications in precision obstetrics and ...

Multi-omics describes the integration of multiple high-throughput screening technologies based on genomics, proteomics, transcriptomics, single-cell transcriptomics, metabolomics, and more, which all ...

Comprehensive validation of a cell-free DNA-based assay for multi-cancer detection: A Vietnamese longitudinal prospective cohort study of 9,024 participants. A pan-tumor description of the genomic, ...

Artificial Intelligence–Powered Human Epidermal Growth Factor Receptor 2 Quantification and Clinical Outcomes in Human Epidermal Growth Factor Receptor 2–Positive Biliary Tract Cancer Treated With ...

Functional classification of tumor biomarkers by molecular type and clinical applications. Tumor biomarkers are categorized into genetic, protein, epigenetic, and metabolic types, each associated with ...

A new study published in the peer-reviewed OMICS: A Journal of Integrative Biology identified genes for virulence and antimicrobial resistance in two bacteria that co-occur with C. difficile, ...

Our upcoming webinar explores the dynamic intersection of technology and biology, where in vitro tools and OMICs applications unravel mechanism of action, drug discovery and clinical translation. What ...

Traditional analytical approaches often fail to uncover the complexities of biological systems involving many biomolecules. In contrast, omics, an interdisciplinary approach, focuses on understanding ...

Recent advances in single-cell sequencing and spatial multi-omics have transformed our ability to resolve tumor ecosystems at unprecedented resolution.

A new study published in the peer-reviewed OMICS: A Journal of Integrative Biology identified genes for virulence and antimicrobial resistance in two bacteria that co-occur with C. difficile, ...