Rada investigates the causes of variations in clinical outcomes, using computational methods. Her goal is to determine the optimal dosage, timing, and duration of therapeutic regimens. Ultimately, she wants to develop precise, personalized treatments.
Her research uses computational methods to study the dynamic interplay between disease progression, drug and biomarker response across relevant scales (molecule, cell, tissue, organ & whole body) in order to determine causal links underlying variability in (safety and efficacy) clinical outcomes. By integrating multi-scale, and multi-level clinical data, they aim to determine the right dose, right schedule and right treatment duration of various therapies, potentially bringing novel, precise and personalized treatment options to patients with unmet needs more quickly.