Molecular Genetics

AI Accurately Predicts On- and Off-Target Activity of CRISPR Tools

July 10, 2023 - A new study published last week in Nature Biotechnology demonstrated that a deep learning (DL) tool can predict on- and off-target activity of RNA-targeting CRISPR tools, which may spur the development of new CRISPR-based therapies. CRISPR genome-editing technology has garnered significant interest from the precision medicine community in recent...

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Johns Hopkins Machine Learning Tool Can Identify Tumor Cell Interactions

by Shania Kennedy

Researchers at the Johns Hopkins Convergence Institute and the Johns Hopkins Kimmel Cancer Center have developed a machine learning (ML) model capable of identifying molecular interactions among the...

Machine Learning Identifies Four Autism Subtypes

by Shania Kennedy

Researchers at Well Cornell Medicine have identified four subtypes of autism spectrum disorder (ASD) linked to distinct molecular pathways in the brain using machine learning (ML).  The findings...

Researchers Develop ML Tool for Studying Characteristics of Single Cells

by Shania Kennedy

Researchers from the Children’s Hospital of Philadelphia (CHOP) and the New Jersey Institute of Technology (NJIT) developed new machine-learning (ML) software to analyze multiple characteristics...

Researchers Develop Algorithm, Assay to Assess Genome Structure

by Shania Kennedy

Researchers from Weill Cornell Medicine and the New York Genome Center have developed a new assay and corresponding algorithm that allows them to study the three-dimensional structure of the human...

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