Researchers at McGill University have developed a machine learning tool that identifies disease-related patterns in RNA ...

Metabolic and regulatory networks may be expanded by coupling high-throughput phenotyping and gene expression data with the predictions of a computational model. (Reprinted with permission, Nature, ...

A study led by Vincenzo Condello and Christofer Juhlin of the Karolinska Institutet explores why some papillary thyroid ...

A new predictive AI system has been developed to predict gene activity in human cells with high precision. Researchers at Columbia University Vagelos College of Physicians and Surgeons, led by Raul ...

Oral presentation highlights safe, robust reduction in apoC-III and triglycerides by MB-111, paving the way to the clinic in 2026.

Single cell gene expression studies often rely on single-cell RNA sequencing (scRNA-seq) alone. While scRNA-seq reveals which genes are turned on, it does not capture protein expression or changes to ...

Sex-biased gene expression in the body organs evolves rapidly, supporting a mosaic model of maleness and femaleness across tissues and thus challenging binary views of sex characteristics in mammals.

MB-111 is a potential first-in-class, single-dose in vivo CRISPR gene editing therapy for persistent chylomicronemia Oral presentation highlights safe, robust, and durable reduction of apoC-III ...