Different atoms and ions possess characteristic energy levels. Like a fingerprint, they are unique for each species. Among ...

A research team led by Zhiping Weng, Ph.D., and Jill Moore, Ph.D."18, at UMass Chan Medical School, has nearly tripled the ...

In its effort to correlate genomic structure with gene function, the 4D Nucleome Consortium (4DN), led by Job Dekker, Ph.D., ...

DNA doesn’t just sit still inside our cells — it folds, loops, and rearranges in ways that shape how genes behave.

Abstract: Knowledge space theory is a theory that uses mathematical language to evaluate learners’ knowledge and guide future learning, belonging to the research field of mathematical psychology.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Biologists are closing in on a puzzle that seems to turn classic evolutionary logic inside out, yet may be so common that it ...

Given CpGPT's generative capabilities, we have implemented an analogous version of the chain-of-thought used in NLP tasks but for the reconstruction of methylation patterns. For more information about ...

Abstract: Knowledge graphs (KGs) play a key role in promoting various multimedia and AI applications. However, with the explosive growth of multi-modal information, traditional knowledge graph ...

ABSTRACT: Background: Occupational exposures are known contributors to oxidative stress and epigenetic alterations, but their interrelationships in highly exposed, vulnerable populations remain poorly ...

Imagine snapping a photo of your favorite object, a vintage car, a family heirloom, or even your pet, and instantly transforming it into a lifelike 3D model. Thanks to Meta’s SAM 3D, this futuristic ...

Introduction: Three-dimensional (3D) point clouds acquired by LiDAR are fundamental for applications such as autonomous navigation, mobile robotics, infrastructure inspection, and cultural-heritage ...