Using these samples, Lindenhofer observed how variations in DNA were linked to disease processes and found that cancer cells with more variants showed stronger activation signals that support tumor ...

Abstract: With the continuous advancement of drone technology, detecting and identifying ground targets from a drone’s perspective has become a classic application of deep learning object detection ...

Chiron3D is a DNA-only deep learning model that predicts cell-type–specific CTCF HiChIP contact maps from 524,288 bp genomic windows. The model uses a frozen Borzoi backbone with lightweight adapters ...

Abstract: Financial transactions' growing quantities and complexity require improved anomaly detection techniques to fight fraud. This paper looks at the application of self-enclosure neural networks ...

On Friday, NewsNation learned DNA evidence, including hair, from Nancy Guthrie‘s home has been sent to the FBI’s lab for advanced analysis. The evidence has already been tested through a Florida lab ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...