A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...

Nearly 50 new cancer therapies are approved every year. While this positive trend is a huge benefit for patients, Altuna Akalin, PhD, head of the bioinformatics and omics data science technology ...

In a recent study published in Fundamental Research, researchers propose a novel interpretable neural network model, MULGONET, based on multi-omics information analysis by deep learning to predict ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

Unlocking disease prediction: How the MILTON framework utilizes multi-omics data to transform health insights. Study: Disease prediction with multi-omics and biomarkers empowers case–control genetic ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

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