The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

New Study Shows SIK1 Strengthens Antiviral Immunity to Limit EV-D68–Induced Asthma Exacerbations Asthma is a chronic ...

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

Recent advances in artificial intelligence (AI) have positioned the field as a transformative technological domain, with applications across many areas. AI ...

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.

Biomarkers have become essential in the diagnosis and treatment of cancer, so it’s no surprise there is a race underway to uncover more of them. Cancer biomarkers—which include inherited or acquired ...

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 ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...