Kwaku Dad Abu-Bonsrah

This paper develops a differentiation protocol to generate human hippocampal neurons and astrocytes in vitro, demonstrating long-term viability and electrophysiological complexity.

This study evaluates how neural architecture, network dynamics, and decoding methods affect handwritten digit classification using human iPSC-derived neuronal networks.

The paper uses machine learning to analyze neuronal morphology in Parkinson's disease iPSC-derived neurons, identifying genotype-specific mitochondrial and lysosomal abnormalities.

FLAMESv2 is a flexible R/Bioconductor package for analyzing long-read single-cell RNA-seq data, demonstrating field-leading performance in isoform analysis and cell-type identification.

This study compares dopamine and cortical neurons with PD mutations to identify cellular dysfunctions linked to different pathological phenotypes.

The paper identifies and characterizes a reference iPSC line, KOLF2.1J, for standardized use in collaborative studies across multiple differentiation protocols and assays.