Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

With tremendous social and economic costs, dementia is now the seventh leading cause of death globally, affecting 57 million ...

Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been ...

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

More information: Daniil A. Boiko et al, Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs, Nature Machine Intelligence (2025). DOI: 10.1038 ...