Faiz Khan

With aging comes cellular senescence, and (multi-)morbidity. Cellular senescence is a key driver of an interconnected disease network including cancer and stroke. We wish to utilize systems modeling and bioinformatics, learning from omics and other lab data, to design and develop a biomarker + software kit with a focus on measuring and interpreting senescence-related signatures for precise (and early) diagnosis, prognosis, and, ultimately, therapy, of pancreatic cancer and ischemic stroke/thromboembolism. ...

We constructed a logic-based model to unravel mechanisms underlying pancreatic cancer and fibrosis. Model was calibrated with expression data and simulated for stimulus response and perturbation analysis to identify disease markers. Disease markers predicted by the model are validated through patient data using KM survival plot (which stratify patient into short and long survival) and box plot (expression level of the markers in normal vs. pancreatic patients). In vitro validations of the model ...