A research team from Munich has created an algorithm that predicts the effects of genetic mutations on RNA formation six times more precisely than previous models. As a result, the genetic causes of rare hereditary diseases and cancer can now be pinpointed with greater accuracy.
The findings, published in late April in Circulation, suggest that treatments could be developed to manage the condition rather than requiring a heart transplant, which is the standard treatment for this condition in children.
Researchers at the University of Maryland School of Medicine (UMSOM) have uncovered novel gene mutations responsible for a rare illness that causes heart failure in youngsters. They were subsequently able to discover how the mutation works and apply medication to counteract its effects in ca
bout 1 in 26 people have epilepsy, and the most common type, temporal lobe epilepsy (TLE), is frequently ineffectively treated with anti-seizure drugs. Neurosurgery may be necessary for patients with this type of epilepsy in order to stop their seizures. Uncertainty surrounds the causes and
A genetic variation uncovered by Cedars-Sinai researchers increases the likelihood of getting perianal Crohn's disease, the most devastating type of Crohn's disease.
Cedars-Sinai researchers discovered a genetic variant that increases the risk of developing perianal Crohn's disease, the most debilitating form of Crohn's disease.
New knowledge about mitochondrial DNA (mtDNA) mutations has been obtained through the use of a high-throughput single-cell, single-mitochondrial genome sequencing technique known as iMiGseq. This technology also provides a platform for evaluating mtDNA editing techniques and genetically diag
Understanding how cancer develops is necessary for designing efficient, individualised cancer medicines. Scientists have known for many years that certain types of gene mutations are the cause of cancer.
Designing efficient, individualised cancer medicines requires an understanding of how cancer develops. For many years, scientists have understood that certain kinds of gene mutations are the origin of cancer.
According to new research, a biomarker signature can predict how well kidney cancer patients will respond to immunotherapy before treatment even starts. This biomarker signature is made up of the number of immune cells in and around kidney tumours, the volume of dead cancer tissue, and mutat
Researchers have made an AI-based diagnostic screening system called DeepGlioma that uses rapid imaging to analyze tumor specimens taken during an operation and detect genetic mutations more rapidly.