Genetics

Deep learning and cryogenic electron microscopy modeling for gene editing dynamics.

Advances in cryogenic electron microscopy (cryo-EM) data modeling and deep learning are reshaping ou...

Rapid customization of base editors via machine learning-powered combinatorial mutagenesis.

Being able to control the complementarity and hindrance between target DNA and base editor proteins ...

Noninvasive Prediction of Bone Metastasis-Free Survival in Lung Adenocarcinoma Using Interpretable CT-based Deep Learning Model.

RATIONALE AND OBJECTIVES: Preoperatively identifying patients at high risk of bone metastasis (BM) r...

MiSiPi.Rna: an integrated tool for characterizing small regulatory RNA processing.

Argonaute proteins mediate gene silencing via small regulatory RNAs that are generated by distinctiv...

Integrating epigenetic and immune biomarkers to enable dynamic precision therapy in triple-negative breast cancer.

Mamba-ACP: a Hybrid State-Space and Transformer Framework for Interpretable Anticancer Peptide Prediction.

Anticancer peptides (ACPs) represent a promising class of therapeutic agents that selectively destro...

Artificial Intelligence Design for Race-Based Prostate Cancer Stage Classification With Multilayer Perceptron: Feature Selection Optimization Approach.

BACKGROUND: Prostate cancer progression exhibits significant variability influenced by biological an...

Circulating extracellular vesicle long RNA profiling combined with machine learning unveils novel diagnostic signature and molecular features in chronic pancreatitis.

BACKGROUND: No clinically useful non-invasive biomarkers have been developed for diagnosis of chroni...

Cell-type-specific causal effects of CEBPD in CD8 + S100B + Tcells and ZFP36 in monocytes modulate the protective and risk phenotypes in psoriasis.

Psoriasis is a chronic immune-mediated inflammatory skin disease characterized by dysregulated kerat...

Competing gene regulatory networks drive naive and memory B cell differentiation.

Elucidating the gene regulatory networks (GRNs) that control human B cell differentiation is crucial...

Deep learning inference of cell type-specific gene expression from breast tumor histopathology.

Cell type-specific gene expression from single-cell RNA sequencing (RNA-seq) is valuable for breast ...

upsML: A high-accuracy machine learning classifier for predicting Plasmodium falciparum var gene upstream groups.

Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1), encoded by the hypervariable var gene...

MRI-driven multimodal deep learning approach for predicting pathological complete response after neoadjuvant chemoradiotherapy in locally advanced rectal cancer: A multicenter study.

OBJECTIVES: Achieving a pathological complete response (pCR) following neoadjuvant chemoradiotherapy...

From pathogenesis to precision medicine in systemic lupus erythematosus: Emerging biomarkers and targeted interventions.

Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease characterized by immune...

Integrated multi-omics analysis identifies TBC1D10C as an NK- and T cell-associated diagnostic biomarker in childhood obesity.

Childhood obesity is a growing global health crisis associated with an increased risk of metabolic a...

Epigenetic Instability-Based Metrics in Cell-Free DNA for Early Cancer Detection.

PURPOSE: Cancers present significant DNA methylation changes, which arise in a stochastic manner, ma...

Recent Advances in Analytical Techniques for Cancer Diagnostics and Therapeutics: Combining State-of-the-Art Technologies for Precision Oncology.

Cancer remains a leading global health challenge, necessitating continuous advancements in diagnosti...

Machine learning-based multi-omic analysis identifies CEP55, DLGAP5, and EZH2 as regulated cell death biomarkers linked to immunotherapy resistance in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors...

Integrating Next-Generation Sequencing into von Willebrand Disease Diagnostics: Insights from the PCM-EVW-ES Multicenter Project.

Von Willebrand disease (VWD) is the most common inherited bleeding disorder, caused by quantitative ...

Cytoplasmic lattices are megadalton storage complexes in mammalian oocytes.

Mammalian oocytes store proteins for embryonic development on abundant structures known as cytoplasm...

Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.

Physiological and pathological processes are governed by networks of genes called gene regulatory ne...