A 3D model accurately mimicking the Blood-Brain Barrier (BBB) in a laboratory environment has been successfully developed by research teams led by Professor Jinah Jang from the Departments of ...

A generative AI-based technique can predict thousands of 3D genomic structures in just minutes, enabling researchers to more ...

Using a platform that pairs clustered regularly interspaced short palindromic repeats (CRISPR) functional genomics with three-dimensional (3D) tumor models and cancer-immune co-culture systems ...

The model, called EpiBERT, was inspired by BERT, a deep learning model designed to understand and generate human-like language. The work appears in Cell Genomics. Every cell in the body has the same ...

MIT chemists use generative AI to predict 3D genomic structures quickly, a process far faster than current methods.

Please use one of the following formats to cite this article in your essay, paper or report: APA Enhanc3D Genomics. (2025, January 15). Enhanc3D Genomics launches suite of 3D multi-omics solutions ...

Summary: A team of investigators from Dana-Farber Cancer Institute, The Broad Institute of MIT and Harvard, Google, and Columbia University have created an artificial intelligence model that can ...