From the course: DJ Patil: Ask Me Anything
What is AI's place in healthcare?
From the course: DJ Patil: Ask Me Anything
What is AI's place in healthcare?
(light upbeat music) - [Interviewer] Where do you see AI's place in healthcare and drug discovery? - Well one of the most exciting things that is taking place is the application of these technologies, like AI, into healthcare. But the first part that I think we need to start with is where is AI going to have the biggest impact? Everyone's talking about AI replacing the doctor. And here's the interesting thing is that the biggest applications, oftentimes, of AI, are in the unsexy, most boring problems. Where is the bulk of energy go right now in a hospital? It's in the back office, and it's filing paperwork and it's doing this, it's faxing papers back and forth. What would it look like if a lot of these paper pushing activities were just automated by machine learning. You'd get incredible amount of efficiencies but you'd also reduce the amount of errors. The other part that starts to happen in there is what about when the places where most people are harmed, which is in the hospital is you get the wrong type of drug, you get the wrong type of pharmaceutical. So medical errors. Where could you find medical errors? When could you see signals that are bad? There's a case that was a drug called Vioxx, which is a pain killer, and there was, if you look at the data, there's an incredible amount of people who had heart complications as a result. Why couldn't you see that signal? Because no one was looking. But with machine learning and AI you're always looking through the data. You're crawling through the data constantly to find patterns that are anomalies. And so you start to see that. The other area that I think is going to be transformative is in this idea of population health. And this is the idea of how do you take the broad set of data around a population to try to understand connections and relationships to see what might be correlated, what, how diseases might interact, and so questions around autism, diabetes, what are the sources? Are their environmental relationships, are there other things that we might not think of? You know, it wasn't that long ago that people used to think ulcers were of one cause and then it was finally shown that actually you can treat a lot of ulcers through antibiotics. That was a super mind-blowing result that got a team a Nobel Prize. (laughing) So what other relationships might we discover? We bring that data in, we search through it to find new kind of relationships. That's where the biggest power is. And a bunch of that is also going to come with pharmaceutical drug discovery, because there's treatments or certain drug types that might be slightly chemically similar, but we haven't thought about like hey, that's actually similar. But a machine can process those like just so effectively. And when that comes together in these broad platforms that are being built, I think we're going to move in a transformative way, and then it comes down to the question of how fast can we test these drugs? How can we actually put this into the broad clinical care so it benefits everyone versus a small set of the population that live next to just the top-tier hospitals? (light upbeat music)
Contents
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What were you like as a kid?3m 17s
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How did your parents influence you?1m 55s
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How did you navigate college?4m 7s
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What are some fond memories from grad school?2m 45s
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How can we foster learning for everyone?5m 9s
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What's the importance of learning liberal arts?2m 30s
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What advice do you have for job seekers?3m 23s
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How did data science come about?4m 8s
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What does it take to be a data scientist?4m 1s
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Why is apprenticeship important?3m 41s
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How can a data scientist influence policy?2m 20s
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How can I prepare for data science in college?4m 56s
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How can hackathons benefit me?1m 30s
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How did you use data in grad school?2m 15s
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How is data used in the US?3m 55s
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How is data used worldwide?1m 38s
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How do you expose holes in cybersecurity?3m 32s
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How can we educate people about hacking?2m 30s
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What are the real threats to personal data?4m 6s
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Should we focus on media headlines?1m 39s
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How can we educate people about data use?3m 34s
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How can people fight for data privacy?2m 46s
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What's the role of the data scientist in 15 years?4m 30s
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What are you working on currently?3m 31s
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How can we make data secure?3m 26s
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How to serve the people with data science?1m 47s
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What's the difference between wisdom and experience?1m 54s
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How do you advocate for science?2m 3s
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What is the role of AI in today's world?2m 54s
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What's an example of ethical hacking?2m 9s
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How do you bring data science into the workplace?2m 29s
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What is the role of AI in human resources and recruiting?3m 3s
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What are tools every data scientist should own?2m 44s
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Is there a data science code of ethics?4m 6s
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What are AI threats in the cybersecurity world?4m 38s
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How can data scientists better inform the general public?1m 30s
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How can people participate in data science?2m 31s
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Why do people fear a machine revolution?2m 18s
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How can data inform healthcare?1m 31s
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Why should we democratize data?2m 14s
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How are you advocating for science?3m 9s
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Why is the march for science important?3m 42s
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What is AI?1m 37s
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What is an example of robust machine learning?4m 31s
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What is AI's place in healthcare?3m 29s
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How can AI impact clinical trials?3m 22s
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How can a data scientist be best leveraged for business?1m 28s
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What does a data science team need to thrive?2m 56s
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What are the pros and cons with AI in HR roles?3m 27s
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What should be in a data scientist's toolbox?3m 23s
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What makes up a good data science team?2m 3s
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What new projects are you working on?2m 51s
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What data science projects are you working on?1m 40s
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How can AI and machine learning (ML) help cybersecurity?3m 54s
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How can governments fight back against AI attacks?3m 5s
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What can the public do to protect against AI attacks?1m 14s
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What are neural networks (NN)?2m 8s
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What's the difference between ML and NN?1m 42s
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Do you have a favorite machine learning technique?1m 7s
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How does the Internet of Things work?1m 38s
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What is a connected city?3m 3s
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What is the fear associated with data?2m 30s
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How can we address the fear of machines taking jobs?3m 20s
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What about job loss due to AI?1m 43s
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What's the reality of bringing back jobs?1m 50s
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What is a scientific process for data science?2m 46s
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What is your tip for not getting overwhelmed by big data?1m 40s
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How do you accept that you're not going to know stuff?2m 38s
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What is a dynamic range?2m 1s
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When does data leave holes?3m 8s
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How important is diversity on a data science team?2m 13s
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How does data influence people's emotions?4m 15s
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How do you train yourself to be intellectually curious?2m 20s
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How do we empower people to foster dialogue?3m 33s
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What is your philosophy on leadership?2m 56s
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How can a company retain employees?3m 42s
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How do you cultivate employee development?3m 18s
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How do you identify algorithmic biases?2m 46s
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Can you describe the process of ethical testing?2m 46s
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How do you feel about machine learning for business decisions?1m 52s
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Can you talk about your book?4m 10s
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What are possible solutions for displacement?2m 23s
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What impact does technology have on the US economy?3m 2s
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Can you discuss the future of intelligent things?3m 26s
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What are the current issues with data collection?2m 10s
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How is technology changing human expectations?1m 7s
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Wrapping up1m 5s
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