Genetics

CREsted: modeling genomic and synthetic cell-type-specific enhancers across tissues and species.

Sequence-based deep learning models have become the state of the art for analyzing the genomic regul...

Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

DNA microarray is a transformative technique in genomics, enabling simultaneous examination of thous...

Interpretable deep learning with pharmacogenomics predicts myocardial infarction in angiotensin receptor blocker treated hypertension.

OBJECTIVE: A significant residual risk of myocardial infarction (MI) persists in hypertensive patien...

FDCSNPS: A Fast Division Calculation SNP System.

Spiking Neural P system (SNP system) is a distributed parallel computing model inspired by the infor...

Bringing AI to Cancer's Regulatory Genome.

A new AI model that predicts how noncoding DNA mutations alter gene regulation is helping cancer res...

CRISPR-Cas system: recent advancements in prompt diagnosis of high-risk HPV genotypes in cervical cancer.

INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infect...

Predictive modeling of gene expression and localization of DNA binding site using deep convolutional neural networks.

Despite the sequencing revolution, large swaths of the genomes sequenced to date lack any informatio...

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and ope...

An end-to-end generalizable deep learning framework to comprehensively analyze transcriptional regulation.

Genome annotation currently requires performing dozens of molecular assays in hundreds of cell and t...

Vietnamese Odonata: bridging global biodiversity, ecological, and conservation gaps in a changing world.

Vietnam is a global hotspot, hosting 493 Odonata species, with ~95% evaluated by the IUCN. Odonata s...

Gene regulatory landscape dissected by single-cell four-omics sequencing.

Cellular diversity is governed not only by the transcriptome but also by multiple layers of epigenom...

Deep learning framework for predicting EGFR mutation status from H&E whole slide images in lung adenocarcinoma.

A novel deep learning-driven framework for improving lncRNA comprehensive annotation with LncADeep 2.0.

MOTIVATION: Long non-coding RNAs (lncRNAs) have emerged as crucial players in diverse physiological ...

From prediction to precision: how immunopeptidomics advances neoantigen discovery.

T cell recognition of peptides presented by class I and II human leukocyte antigen (HLA) molecules i...

Bulk Microarray and Single-Cell Transcriptomic Analyses Reveal Bacterial Lipopolysaccharide-Related Biomarkers in Sepsis.

Sepsis, a life-threatening condition triggered by dysregulated host response to infection, poses sig...

StabLyzeGraph: High-throughput screening of combinatorial mutations using graph neural networks.

Engineering protein stability is a powerful strategy across biotechnology and medicine, supporting a...

Enhanced Glioma Genotype Prediction Using CEST MRI With Full Z-Spectrum Input, Pixel-Level Learning, and Majority Voting.

Accurate glioma genotype prediction, such as the isocitrate dehydrogenase (IDH) mutation and O6-meth...

Artificial intelligence in nongynecologic cytology: A systematic review of current research and commercial tools.

BACKGROUND: Nongynecologic (non-GYN) cytology plays an important role in cellular and molecular canc...

Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.

BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancr...

Single-Cell Transcriptomic Analysis of Chemotherapy-Induced Changes in Osteosarcoma With a Pyroptosis-Related Gene-Based Prognostic Model.

Osteosarcoma, the most common primary malignant bone tumour, presents significant treatment challeng...

Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states.

Single-cell RNA sequencing (scRNA-seq) is a prominent tool for studying human disease biology. The a...