Dean Ho Is Using AI To Reimagine How We Take Life-Saving Drugs—And The Potential Impact is Huge

By Hong Xinyi

The Singapore-based scientist's platform enables enables shorter lead time for both drug development and patient recovery. Here's how

Tatler Asia

Dean Ho was born and raised in a Los Angeles beachside neighbourhood called Palos Verdes, and attended the University of California, Los Angeles, graduating with a PhD in biomedical engineering. Before relocating to Singapore in 2018, he had spent six years as a professor at his alma mater, pioneering the use of artificial intelligence to create precision, personalised medicine. So why move to Singapore, away from the West Coast and Silicon Valley, the global engine of tech innovation? 
"Innovation is more than just creating ideas,” says Ho. “You have a responsibility to talk to patients and understand their concerns. You have to figure out how to work with all the stakeholders—policymakers, regulators, clinicians. So, to take an innovative idea all the way to the finish line involves everything from behavioural sciences to healthcare economics, and Singapore is a place that recognises that. I was looking for a culture, a mindset, a full‑fledged ecosystem that is willing to innovate together.”
Being part of such an ecosystem is critical to achieving his ultimate goal: seeing his innovations implemented to the benefit of patients. Take, an AI platform developed over about five years by a research team led by Ho. The platform aims to address the fact that each individual’s response to medication is unique, and also changes from day to day. It works by taking a patient’s data—such as how a tumour changes in size following a certain drug dosage—and using that to generate a profile that is able to recommend the optimal drug dosage for this individual at any given point in time.

Such dynamic dosing aims to improve the efficacy and safety of treatments, particularly in cases where the conventional approach of a high dosage of multiple drugs means a high level of toxicity for the patient. Last year,’s recommended drug dosage tailored for a prostate cancer patient successfully reduced his tumour size—a breakthrough for cancer treatment.
The platform has also been tested on liver transplant and tuberculosis patients, with encouraging results. Last year, Ho became the only Singapore-based academic elected as a fellow of the United States National Academy of Inventors, the highest professional accolade for academic inventors, in part for his work in AI and its application towards personalised and precision medicine.

Worldwide, the whole drug-making space is going to have to shift
Dean Ho requires less data and uses it more efficiently, which means it can lead to a shorter time for drug development and patient recovery. That also means lower medical costs for the patient. Pharmaceutical companies are becoming more receptive to this approach, which is crucial, because “worldwide, the whole drug-making space is going to have to shift”, says Ho. “Drug accessibility is a huge problem. That’s another reason why I came to Singapore. The government is very supportive of reducing the costs of medical care.”
When he works with Singapore's Health Sciences Authority, for example, the regulatory agency is willing to “try new ways of evaluating new technologies, and explore different ways of conducting clinical trials”, he says. “So it’s not only innovation in the technology itself. It’s innovation in how the technology is tested, all done with patient welfare in mind. If pharmaceutical companies come here and innovate, you can still run the trials, but you run them more efficiently and in a more technologically advanced way. Everybody wins.”

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