Md. Jashim Uddin

This paper develops COX-2-targeted nanobodies for enhanced endoscopic imaging of colorectal adenomas, showing tumor-specific accumulation in vivo.

This paper develops micellar nanoparticles that co-deliver a drug and a fluorescent probe for real-time visualization of drug delivery in solid tumors.

The paper develops genomic and non-genomic datasets from TCGA to predict PolyPhen and SIFT scores using machine learning models, finding genomic data provides more accurate predictions.

This paper develops siRNA-CQ-L2 conjugates that enhance endosomal escape and gene silencing in cancer cells while maintaining albumin-binding properties and safety.

This paper evaluates machine learning models for skin neoplasm diagnosis using the HAM10000 dataset, showing improved accuracy after applying data preprocessing techniques.

This study shows that inhibiting diacylglycerol lipase reduces alcohol consumption in preclinical models and prevents ethanol-induced suppression of GABAergic transmission without causing anxiety or depression.