affect protein levels (proteomics), ultimately shaping metabolic pathways (metabolomics). Machine learning models can be trained on integrated multi-omics data to predict disease risk, drug ...

epigenome and surface protein markers (respectively) of single blood cells. By comparing these omics data across healthy and leukaemic cells, the team could identify cancer-specific regulatory ...

The guide will also help if for any reason you have difficulty accessing the content you want. Molecular Omics publishes high-quality research in the -omics sciences. We welcome scientific research ...

New research headed by scientists at the Centre for Genomic Regulation (CRG) has demonstrated how the three-dimensional shape of a protein can be used to resolve deep, ancient evolutionary ...

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast ...

The work demonstrates a transformative step forward in profiling protein expression across whole, dense tissues. “Conventionally, investigating the molecules within cells requires dissociating ...

Acute myeloid leukaemia (AML) is mainly characterized by an increase in the number of myeloid cells in the bone marrow and a decrease in mature cells, accounting for 28% of leukaemia cases, with a ...

Inflammatory bowel diseases (IBDs), which include ulcerative colitis (UC) and Crohn’s disease (CD), are chronic conditions ...

Researchers on LatchBio can now leverage nineteen AI protein tools in their browser, run 70% faster multi-omics pipelines, and achieve one-click access to NVIDIA accelerated computing. The 2024 ...

Heart failure remains a substantial burden for patients due to its high prevalence and limited therapeutic options. Heart failure is classified into two major clinical subtypes- heart failure with ...