Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at Arlington, analyzing how different parts of the brain interact like a network is revealing new insights into one of the world’s most devastating brain disorders.

TripletDGC, an open-source GitHub toolkit, leverages single-cell RNA-seq to map nearly 10,000 disease-associated genes to their most impacted cell types—creating over 54,000 gene-disease-cell links to accelerate precision medicine and targeted drug discovery.

Matthew Leming, PhD, and Hyungsoon Im, PhD of the Center for Systems Biology at Massachusetts General Hospital, are the co-corresponding authors of a paper published in Alzheimer’s & Dementia, “Differential dementia detection from multimodal brain images in a real-world dataset.”