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 ...

Lower-grade gliomas (LGGs) exhibit highly variable clinical behaviors, while classic histology characteristics cannot accurately reflect the authentic biological behaviors, clinical outcomes, and ...

In recent years, circRNAs have been found to be closely related to a variety of human diseases. In-depth exploration of their potential associations with diseases is of great value for understanding ...

Predicting tumor recurrence at the molecular level emerges as a critical challenge, especially for patients with complex multi-omics profiles. Traditional prognostic models relying on single ...

Researchers at the University of Strathclyde have played a central role in an international study that presents a new method to measure biological age—a key factor in predicting health outcomes 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 ...