Latest AI and machine learning research in genetics for healthcare professionals.
How do recurrent neural networks (RNNs) internally represent elapsed time to initiate responses afte...
RNA design has been hindered by the limited accuracy of 3D structure prediction. Here, we show that ...
General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge...
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general v...
Diffusion Transformers (DiTs) achieve superior image generation quality but suffer from quadratic co...
Photonic quantum computing is a promising platform for scalable quantum machine learning, but design...
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiogr...
Frozen Vision Foundation Models (VFMs) with lightweight classification heads are increasingly used i...
Background: African Americans (AA) experience disproportionate burden of colorectal cancer (CRC). Dy...
Single-cell RNA sequencing (scRNA-seq) provides unprecedented resolution of cellular heterogeneity w...
{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in ...
Biomedical agents need reliable access to heterogeneous evidence: literature text, gene and pathway ...
Accurate gene prediction remains a major bottleneck in fungal genomics, where lineage diversity and ...
Ensuring global food security under rapid climate change demands accelerated genetic gain and breedi...
Background Delineating the cellular origins of extracellular vesicles (EVs) enables the detection of...
Clonal haematopoiesis (CH) becomes ubiquitous as humans age. The role of somatic driver mutations in...
Missense mutations in TERT, the gene encoding the human telomerase catalytic subunit hTERT, are asso...
Transcription factors (TFs) regulate gene expression through specific interactions with genomic DNA....
The rise of antibiotic-resistant bacterial infections has driven renewed interest in bacteriophage t...
Predicting protein-ligand binding is a central challenge in computational drug discovery, and while ...
The gene signatures of Alzheimer's Disease (AD) brains reflect an output of a complex interplay of g...