Muhammed Murtaza

This study uses CRISPR to disrupt an inhibitory receptor in NK cells and insert a GD2-targeting CAR, creating potent NK cells against GD2+ melanoma.

This study shows that plasma DNA fragmentation analysis from dried blood spots can detect cancer with machine learning, offering a cost-effective method for early cancer detection in resource-limited settings.

Analyzing the positioning and nucleotide sequence at fragment ends in plasma DNA may enable cancer diagnostics.

This study characterizes urine cfDNA fragmentation patterns and shows they reflect sub-nucleosomal organization, with potential for cancer diagnostics.

This study demonstrates the feasibility of ctDNA analysis in dogs with hemangiosarcoma using shallow whole genome sequencing, showing higher ctDNA fractions in malignant tumors compared to benign ones.

A personalized ctDNA test achieves high accuracy for residual disease detection after neoadjuvant therapy in breast cancer.

This study identifies HER2 mutations in canine pulmonary adenocarcinomas, finding V659E mutations in 38% of cases and their association with drug sensitivity.

The paper evaluates pre-analytical factors affecting plasma DNA analysis by comparing DNA extraction methods and blood collection tubes using a multiplexed ddPCR assay.