What are the benefits and challenges of using multiomics approaches to discover cancer biomarkers? Multiomics means that scientists are measuring more than one class of analyte, such as DNA, RNA, or ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...

GrayMatters Health (GMH), the pioneers of digital brain-region biomarkers for mental healthcare, today announced the publication of new clinical and scientific research that significantly broadens the ...

There may be two distinct subtypes of multiple sclerosis, according to a new study led by scientists at University College ...

Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths. Despite decades of progress in surgery, chemotherapy, and stem cell ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models identifying significant biomarkers were highly accurate at predicting MASLD and hepatic ...

Whenever the immune system fights a pathogen, it has a memory of that experience, whether it's with an invader or a vaccine that mimics an infection, for example. Scientists have now developed a way ...

We identify six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers (e.g., serum total protein) for MASLD across various independent cohorts. Serum total protein ...