AI Medical Compendium Journal:
Current gene therapy

Showing 1 to 6 of 6 articles

Inferring Cell-type-specific Genes of Lung Cancer Based on Deep Learning.

Current gene therapy
BACKGROUND: Lung cancer is cancer with the highest incidence in the world, and there is obvious heterogeneity within its tumor. The emergence of single-cell sequencing technology allows researchers to obtain cell-type-specific expression genes at the...

Recent Progress of Machine Learning in Gene Therapy.

Current gene therapy
With new developments in biomedical technology, it is now a viable therapeutic treatment to alter genes with techniques like CRISPR. At the same time, it is increasingly cheaper to perform whole genome sequencing, resulting in rapid advancement in ge...

Deep Forest-based Prediction of Protein Subcellular Localization.

Current gene therapy
MOTIVATION: Knowledge of the correct protein subcellular localization is necessary for understanding the function of a protein and revealing the mechanism of many human diseases due to protein subcellular mislocalization, which is required before app...

A Brief Survey of Machine Learning Application in Cancerlectin Identification.

Current gene therapy
Proteins with at least one carbohydrate recognition domain are lectins that can identify and reversibly interact with glycan moiety of glycoconjugates or a soluble carbohydrate. It has been proved that lectins can play various vital roles in mediatin...

Smart Micro/Nano-robotic Systems for Gene Delivery.

Current gene therapy
BACKGROUND: Small scale robotics have attracted growing attention for the prospect of targeting and accessing cell-sized sites, necessary for high precision biomedical applications and drug/gene delivery. The loss of controlled gene therapy, inducing...