Gene therapy could potentially cure genetic diseases but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of the ...
Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple STS datasets, the model consistently separated patients into low-risk and ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
The study is part of the PsychENCODE Consortium, which brings together multidisciplinary teams to generate large-scale gene expression and regulatory data from human brains across several major ...
AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...
Though almost every cell in your body contains a copy of each of your genes, only a small fraction of these genes will be expressed, or turned on. These activations are controlled by specialized ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Machine learning models have seeped into the fabric of our lives, from curating playlists to explaining hard concepts in a few seconds. Beyond convenience, state-of-the-art algorithms are finding ...
A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in ...
Please provide your email address to receive an email when new articles are posted on . A genetic biomarker test was able to predict patients’ semaglutide treatment response after bariatric surgery.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results