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Daniel Kraft's Talk on Medication Displays the Benefits of Tech

 - Oct 23, 2018
References: & ted
Stanford- and Harvard-trained physician-scientist Dr. Daniel Kraft demonstrates his IntelliMedicine prototype printer during his TED talk on medication. His invention explores the potentials of precision medicine or, more precisely, the impact the combination of advanced technology and data-driven systems can have on healthcare.

The IntelliMedicine machine addresses the issue of pill-taking. The difficulty behind prescription meds is that its hard to be consistent with them. As each organism is unique in its own way, proper dosing is a challenge for many physicians. Moreover, unpredicted side effects or adverse drug reactions are also a sizable obstacle. Dr. Daniel Kraft believes that this gap can be met through technology in the data-driven age.

The opportunity to measure and connect healthcare information harbors immense benefits for both patients and physicians. The talk on medicine highlights that we live in a "world of [the] quantified self." That is, the tech-savvy wearables on the market allow individuals to gather their medical data and share it with their doctors. It also builds a timeline that permits access to retrospective data and the patient's condition can be monitored in full detail as it progresses.

Dr. Daniel Kraft believes that the benefits of these technologies can be applied to medication dosing. With IntelliMedicine, the speaker aims to find a better way to use for the polypill — a pill that contains multiple medications. The traditional drug is optimized for individual use. However, with his prototype printer, Dr. Daniel Kraft hopes to personalize it to each individual organism. IntelliMedicine is a 3D-printer that sorts small micromeds and distributes them based on the dose and combination required by each individual. The talk on medication includes a small demonstration of the invention. Thus, individuals can enjoy pills that are "built for [them], based on [them]" with the possibility to adapt in real-time.