Omics analysis is the process of analyzing large data sets to extract meaningful information about biological molecules—genes, DNA, RNA, proteins, metabolites or more—with the goal of illuminating ...

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 ...

Cancer metabolism has re-emerged as a central hallmark of tumor initiation, progression, and therapeutic resistance. Advances in high-throughput ...

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 ...

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 ...

The integration of multi-omics approaches in drug discovery is rapidly gaining momentum, offering a more comprehensive understanding of disease biology and paving the way for personalized medicine. A ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

TriHealth Cancer Institute’s collaboration with the Tempus AI TIME program impact on clinical trial operations and enrollment. Multimodal fully automated predictive model for therapeutic efficacy of ...

Efficacy and safety of ipilimumab combination therapy in advanced hepatocellular carcinoma patients progressing after multiple lines of treatment: A retrospective multicenter study. This is an ASCO ...

Multifactorial diseases pose a significant global health challenge, impacting economically developed nations with conditions ...