NUS team taps digital medicine to make treatments more precise for patients

Updated

Biomedical engineering at the National University of Singapore and is director of the Institute for Digital Medicine at the Yong Loo Lin School of Medicine. He and his team are developing ways to take the guesswork out of medication, and to optimise drug doses and combinations for each person.

In a clinical trial that he is conducting on his algorithm, called Optim.AI, a small piece of a tumour is used to find the best dose for a particular patient. It is tested against up to a dozen drugs, providing about 900 different combinations to find which works best.

Sometimes, the optimum dose for a patient might be lower than the standard dose, and it could change as treatment progresses. In Singapore, a lower dose could result in significant savings for the patient, who also benefits from the lower toxicity.
 

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