Algorithmic answers: optimizing cell culture for regenerative medicine
Complex algorithms are being developed to predict optimal cell culture conditions for regenerative medicine applications.
Cell therapy treatments involve transplanting engineered human cells into patients to replace or repair damaged cells and tissues. Before these cells can be transplanted into a patient, they must be cultured, manipulated and expanded in a laboratory to enhance their therapeutic properties and ensure there is a large enough population to have the desired effect.
Julie Audet (Institute of Biomedical Engineering, University of Toronto, Canada) and her team have been developing complex computational algorithms that can optimize laboratory experiments to enable researchers to define the best possible conditions to culture their cells in.
