Machine learning could help classify genetic variants in prenatal testing
An approach based on machine learning may reveal signatures of disease in prenatal tissues based on information obtained from postnatal blood samples...
Rob Hayman is a Volunteer Writer at BioNews. He previously completed a BSc in Chemistry at the University of Leeds, including a final year research project into the evolution of photoreception and circadian rhythms. Since university, he has worked as an editor, specialising in educational and science publishing.
An approach based on machine learning may reveal signatures of disease in prenatal tissues based on information obtained from postnatal blood samples...
The use of stem cell patches to treat fetuses with spina bifida has been shown to be safe following a phase 1 clinical trial...
CRISPR/Cas9 genome editing has been used in mice to investigate two key genes' roles in male fertility and sperm production...
Disruption to a gene causes malformations to the development of sperm tails, resulting in mice producing no functional sperm...
Individual genes have been shown to produce multiple proteins, providing a potential insight into rare diseases that have previously lacked a clear explanation...
Knocking out a single gene on the Y chromosome has been found to cause infertility in male mice...
Subscribe for free to what PET does best – informing you of the latest in fertility, genomics and embryo research.