Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...
A Northwestern Medicine study has detailed the development of a machine learning model to predict DNA methylation status in cell-free DNA by its fragmentation patterns, according to findings published ...
A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...
The human genome is made up of about three billion pairs of DNA units called nucleotides. Olena_T via Getty Images Scientists at Google DeepMind—the company’s artificial intelligence research arm—say ...
Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a comprehensive software suite to create accurate models of DNA in biomolecular ...
In a recent study published in PNAS, researchers introduced the Genomic Pre-trained Network (GPN), a multispecies model developed to learn genome-wide variant effects by self-supervised pretraining on ...
In a recent study published in the journal Nature, researchers at the Arc Institute describe the development and advantages of “Evo 2”. Evo 2 is a novel biological foundation model trained on a ...
In a step toward treating mitochondrial diseases, researchers at the University Medical Center Utrecht and their colleagues have used mitochondrial base editing (mtBE) to successfully edit harmful ...
Damage to DNA in cancer cells can lead to pieces breaking off chromosomes and floating away, like icebergs cracking off a glacier. Just as icebergs are a threat to ships and their crew, these ...
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