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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 ...
Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...
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, ...
More information: Daniil A. Boiko et al, Advancing molecular machine learning representations with stereoelectronics-infused molecular graphs, Nature Machine Intelligence (2025). DOI: 10.1038 ...
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Tech Xplore on MSNNew framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysisBingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...
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