Huch’s pancreatic organoids are now a promising avenue for disease modeling and generating precision medicines to treat ...

Researchers at Children's Hospital of Philadelphia (CHOP) and the University of Pennsylvania Perelman School of Medicine ...

A biopharma company specializing in difficult-to-produce biologics has developed a deep learning model ... process. The model can reduce the time needed for early cell line development from ...

“And so not only is it a great model of regeneration, but it's also a pretty good model ... The team transplanted this cell population elsewhere in the body of some deer and observed antler growth ...

Machine learning (ML) has demonstrated huge ... we briefly discuss various types of ML algorithms used for membrane research, implementation of explainable artificial intelligence (XAI) for model ...

PlantRNA-FM, an AI model created by researchers at the John Innes Centre and the University of Exeter, deciphers the genetic “language” of plant RNA by analyzing patterns in RNA sequences and ...

In this lesson, students become familiar with their own inherited traits and then look for commonalities amongst their classmates. This is a basic introduction to heredity for students with a limited ...

Sickle cell disease refers to a group of genetic diseases that impact a protein that ferries oxygen through the blood. That protein is called hemoglobin, and in sickle cell disease, aberrant ...

Will Tesla's new, affordable electric vehicle be called Tesla Model Q? Don't hold your breath for the name, but a cheaper Tesla is, apparently, coming. A Deutsche Bank report mentions the new ...

A particular strength is the use of yeast as an advanced cell model and access to automated high throughput ... glycans cover every cellular surface and most proteins. Using machine learning and ...

Recently, much focus has been placed on developing cell culture media with less effort and without being bound by conventional empirical rules, for which machine learning is used. Nevertheless ...