Latest AI and machine learning research in genetics for healthcare professionals.
This work presents a novel decentralized protocol for digital estate planning that integrates adva...
Mixed-precision training has emerged as an indispensable tool for enhancing the efficiency of neur...
The discovery of new ionizable lipids for efficient lipid nanoparticle (LNP)-mediated RNA delivery...
Large language models (LLMs) are increasingly integrated into applications ranging from review sum...
This article explores the feasibility of creating an "electronic copy" of a deceased researcher by...
Predicting drug responses using genetic and transcriptomic features is crucial for enhancing perso...
We present FreeMorph, the first tuning-free method for image morphing that accommodates inputs wit...
Single-cell data reveal the presence of biological stochasticity between cells of identical genome...
Single-cell sequencing technology has profoundly revolutionized the field of cancer genomics, enabli...
Spatial multi-omics technologies provide valuable data on gene expression from various omics in the ...
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing ...
Understanding the vast noncoding cancer genome requires cutting-edge, high-resolution, and accessibl...
UNLABELLED: Breast and ovarian cancers harboring homologous recombination deficiency (HRD) are sensi...
Homologous recombination is a high-fidelity DNA repair mechanism essential for maintaining genome st...
We train a neural network to predict distributional responses in gene expression following genetic...
DNA is emerging as a promising medium for storing huge volumes of data in a confined space that rema...
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...
DNA hybridization reaction is a significant technology in the field of semi-synthetic biology and ho...
Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...
Specific glycosylation patterns on exosome surfaces represent novel diagnostic biomarkers for cancer...
MOTIVATION: Clustering cells into subpopulations is one of the most crucial tasks in single-cell RNA...