A RECENT study has demonstrated how RNA sequencing (RNA-seq) can enhance the genetic classification of B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) patients, leading to better risk ...

Human health may be getting a big boost from the bits and bytes of computer science. In particular, artificial intelligence (AI) machine learning models are helping to unravel the mysteries of the ...

Over four hundred people, 80% of them being children under 14 years old, will be diagnosed with B-cell Acute Lymphoblastic Leukaemia (B-ALL) next year in Spain, according to the latest projections ...

PAX5 regulates B-cell identity by controlling the activation of its genetic program, guiding B-cell progenitors through the maturation process. According to the research, this is an exceptionally ...

I am reading the collecTRI vignette with great interest, but I have an interrogation regarding biological significance of a result presented in the documentation. There seems to be no expression of ...

Circular RNAs (circRNAs) represent a new class of gene products involved in many biological processes. Due to their ability to bind and modulate co-interacting proteins and microRNAs (miRs), circRNAs ...

A study, recently published in the Journal of Clinical Investigation, has revealed nearly 400 genes that are expressed differentially in patients with Type 2 diabetes. One of these genes, PAX5, was ...

With the incidence of type 2 diabetes increasing alarmingly, science is looking to genetics to better understand the processes underlying this chronic illness. A new study has isolated a gene not ...

Swedish researchers have identified 395 genes that are differently expressed in people with type 2 diabetes. One of these (PAX5) has proven to be very strongly associated with impaired insulin ...

The research team’s scientific paper was published in the Journal of Clinical Investigation (JCI) and showed that 395 genes are differently expressed in the pancreatic islets in individuals with type ...

Previous ArticleCombining imaging flow cytometry and machine learning for high-throughput schistocyte quantification: A SVM classifier development and external validation cohort We considered 289 ...