1 00:00:01,579 --> 00:00:04,500 We live in a medication nation. 2 00:00:04,524 --> 00:00:09,476 Four point five billion drug prescriptions will be prescribed by doctors like me 3 00:00:09,500 --> 00:00:11,347 this year, in the United States alone. 4 00:00:11,371 --> 00:00:13,839 That's 15 for every man, woman and child. 5 00:00:13,863 --> 00:00:15,022 And for most of us, 6 00:00:15,046 --> 00:00:18,585 our experience with this medication is often confusing number of pills, 7 00:00:18,609 --> 00:00:22,204 instructions, side effects, one-size-fits-all dosing, 8 00:00:22,228 --> 00:00:24,704 which all too often we aren't taking as prescribed. 9 00:00:24,728 --> 00:00:26,751 And this comes at tremendous expense, 10 00:00:26,775 --> 00:00:29,387 costing us our time, our money and our health. 11 00:00:29,696 --> 00:00:32,577 And in our now exponential, connected, data-driven age, 12 00:00:32,601 --> 00:00:35,068 I think we can and we must do better. 13 00:00:35,919 --> 00:00:38,996 So let's take a dive at some of the challenges we have, 14 00:00:39,020 --> 00:00:41,783 and some potential solutions. 15 00:00:42,133 --> 00:00:43,371 Let's start with the fact 16 00:00:43,395 --> 00:00:46,672 that many drugs don't work for those who are prescribed to them. 17 00:00:46,696 --> 00:00:51,296 The top 10 grossing drugs in the United States this year, 18 00:00:51,320 --> 00:00:55,001 they only benefit one in four to one in 23 of who take them. 19 00:00:55,025 --> 00:00:58,518 That's great if you're number one, but what about everybody else? 20 00:00:58,997 --> 00:01:02,164 And what's worse, drugs, when they sometimes don't work, 21 00:01:02,188 --> 00:01:03,625 can still cause side effects. 22 00:01:03,649 --> 00:01:05,525 Take aspirin -- about one in four of us 23 00:01:05,550 --> 00:01:08,463 who take aspirin to reduce our risk of cardiovascular disease, 24 00:01:08,487 --> 00:01:10,400 are unknowingly aspirin-resistant. 25 00:01:10,424 --> 00:01:13,433 And still have the same risks of gastrointestinal bleeds 26 00:01:13,457 --> 00:01:15,524 that kill thousands every year. 27 00:01:16,069 --> 00:01:19,029 It's adverse drug reactions like these, 28 00:01:19,053 --> 00:01:22,203 that are, by some estimates, the number four leading cause of death 29 00:01:22,227 --> 00:01:23,387 in the United States. 30 00:01:23,411 --> 00:01:24,847 My own grandfather passed away 31 00:01:24,871 --> 00:01:27,966 after a single dose of antibiotic caused his kidneys to fail. 32 00:01:27,990 --> 00:01:31,014 Now, adverse drug reactions and side effects 33 00:01:31,038 --> 00:01:33,998 are often tied to challenges in dosing. 34 00:01:34,022 --> 00:01:37,760 I trained in pediatrics -- little people, internal medicine -- big people, 35 00:01:37,784 --> 00:01:40,220 so one night I might have been on call in the NICU, 36 00:01:40,244 --> 00:01:42,506 carefully dosing to the fraction of a milligram, 37 00:01:42,530 --> 00:01:43,847 a medication for NICU baby. 38 00:01:43,871 --> 00:01:46,132 The next night -- on call in the emergency room, 39 00:01:46,156 --> 00:01:49,776 treating a 400-pound lineman or a frail nursing-home patient, 40 00:01:49,800 --> 00:01:53,744 who, by most accounts, usually would get the same dose of medications 41 00:01:53,768 --> 00:01:55,014 from the formulary. 42 00:01:55,038 --> 00:01:58,371 Which would mean, most of the time I would be under-dosing the lineman, 43 00:01:58,395 --> 00:02:01,062 and overdosing the nursing-home patient. 44 00:02:01,498 --> 00:02:02,832 And beyond age and weight, 45 00:02:02,856 --> 00:02:06,149 we tend to ignore differences in sex and race, in dosing. 46 00:02:06,704 --> 00:02:10,854 Now, beyond this, we know we have a massive challenge 47 00:02:10,878 --> 00:02:13,077 with noncompliance or low adherence. 48 00:02:13,101 --> 00:02:15,156 Many of us who need to take our medications, 49 00:02:15,180 --> 00:02:18,069 aren't taking them or are taking them incorrectly. 50 00:02:18,093 --> 00:02:20,791 You know, 40 percent of adults in the US over 65 51 00:02:20,815 --> 00:02:23,268 are on five or more prescription medications. 52 00:02:23,292 --> 00:02:24,617 Sometimes 15 or more. 53 00:02:24,641 --> 00:02:30,130 And even small improvements in adherence can dramatically save dollars and lives. 54 00:02:31,452 --> 00:02:34,500 So, as we think into the future, 55 00:02:34,524 --> 00:02:36,283 you think that where we are today, 56 00:02:36,307 --> 00:02:40,292 as we often hear about smart, personalized, targeted drugs, 57 00:02:40,316 --> 00:02:42,196 internet of things, gene therapy, AI, 58 00:02:42,220 --> 00:02:45,053 that we'd already arrived in this era of precision medicine. 59 00:02:45,077 --> 00:02:46,760 In reality, we still live in an age 60 00:02:46,784 --> 00:02:49,783 of empiric trial and error imprecision medicine. 61 00:02:49,807 --> 00:02:51,102 I think we can do better. 62 00:02:51,126 --> 00:02:55,503 What if we could reimagine ways to help make your medicine-taking easier? 63 00:02:55,527 --> 00:02:58,743 To get the right doses and combinations to match you? 64 00:02:59,161 --> 00:03:01,829 What if we could move beyond today's literal cutting edge 65 00:03:01,853 --> 00:03:04,640 of pill cutters and fax machines, 66 00:03:04,664 --> 00:03:07,458 to an era where we could have better outcomes, lower costs, 67 00:03:07,482 --> 00:03:10,629 saving lives and space in your medicine cabinet? 68 00:03:11,466 --> 00:03:14,244 Well, I think part of the solution is all the emerging ways 69 00:03:14,268 --> 00:03:17,413 that we can measure and connect our health care information. 70 00:03:17,815 --> 00:03:20,825 Today, we pretty much live in a reactive, sick-care world, 71 00:03:20,849 --> 00:03:23,141 siloed information that doesn't flow. 72 00:03:23,165 --> 00:03:26,142 We have the potential to move into more continuous, real-time 73 00:03:26,166 --> 00:03:28,420 proactive world of true health care. 74 00:03:28,444 --> 00:03:31,609 And part of that starts with the emerging world of quantified self, 75 00:03:31,633 --> 00:03:34,958 we can measure so much of our physiology and behaviors today, 76 00:03:34,982 --> 00:03:37,133 and often is siloed on our phones and scales, 77 00:03:37,157 --> 00:03:40,145 but it's starting to connect to our clinicians, our caregivers, 78 00:03:40,169 --> 00:03:43,534 so they can better optimize prevention, diagnostics and therapy. 79 00:03:44,851 --> 00:03:47,755 And when we can do that, we can do some interesting things. 80 00:03:47,779 --> 00:03:49,847 Take, for example, hypertension. 81 00:03:49,871 --> 00:03:53,656 It's the number one risk factor for early death and morbidity worldwide. 82 00:03:53,680 --> 00:03:56,974 Half of adult Americans, on approximation, have hypertension, 83 00:03:56,998 --> 00:03:58,950 less than half have it well-controlled. 84 00:03:58,974 --> 00:04:02,491 It's often because it takes two or three different classes of medications, 85 00:04:02,515 --> 00:04:05,819 it's tough to do adherence and adjust your blood pressure medications. 86 00:04:05,843 --> 00:04:08,845 We have 500 preventable deaths from non-controlled hypertension 87 00:04:08,869 --> 00:04:10,626 in the US, every day. 88 00:04:10,929 --> 00:04:13,794 But now we're in the era of connected blood pressure cuffs -- 89 00:04:13,818 --> 00:04:15,827 the FDA just approved a blood pressure cuff 90 00:04:15,851 --> 00:04:17,545 that can go into your watch. 91 00:04:17,569 --> 00:04:21,060 There are now prototypes of cuffs, radar-based blood pressure devices 92 00:04:21,084 --> 00:04:23,371 that can continuously stream your blood pressure. 93 00:04:23,774 --> 00:04:25,198 So, in the future, I could 94 00:04:25,222 --> 00:04:27,895 instead of spot-checking my blood pressure in the clinic, 95 00:04:27,919 --> 00:04:30,506 my doctor could see my real-time numbers and my trends, 96 00:04:30,530 --> 00:04:32,699 and adjust them as necessary, 97 00:04:32,723 --> 00:04:35,173 with the help of a blood pressure dosing algorithm, 98 00:04:35,197 --> 00:04:37,499 or using the internet of things. 99 00:04:37,523 --> 00:04:40,189 Now, technology today can do even more. 100 00:04:40,904 --> 00:04:43,291 My smart watch, already today, has an EKG built in, 101 00:04:43,315 --> 00:04:46,656 that can be read by artificial intelligence, 102 00:04:46,680 --> 00:04:49,601 I'm wearing a small, band-aid sized patch, 103 00:04:49,625 --> 00:04:51,871 that is live-streaming my vital signs right now, 104 00:04:51,895 --> 00:04:53,085 let's take a look. 105 00:04:53,109 --> 00:04:55,514 They're actually a little concerning at the moment. 106 00:04:55,538 --> 00:04:57,887 (Laughter) 107 00:04:57,911 --> 00:05:00,349 Now, it's not just my real-time vitals 108 00:05:00,373 --> 00:05:02,569 that can be seen by my medical team or myself, 109 00:05:02,593 --> 00:05:04,268 it could be my retrospective data, 110 00:05:04,292 --> 00:05:07,878 and again, that'd be used to modify dosing and medication going forward. 111 00:05:08,298 --> 00:05:10,704 Even my weight can be super quantified. 112 00:05:10,728 --> 00:05:15,604 My weight, now my shape, how much body mass, fat, 113 00:05:15,628 --> 00:05:16,886 muscle mass I might have, 114 00:05:16,910 --> 00:05:19,830 and use that to optimize my prevention or therapy. 115 00:05:20,823 --> 00:05:22,633 And it's not just for the tech savvy. 116 00:05:22,657 --> 00:05:25,832 Now, MIT engineers have modified wi-fi 117 00:05:25,856 --> 00:05:29,260 so we can seamlessly connect and collect our vital signs, 118 00:05:29,284 --> 00:05:31,529 from our connected rings and smart mattresses, 119 00:05:31,553 --> 00:05:34,268 we can start to share this digital exhaust, our digitome, 120 00:05:34,292 --> 00:05:37,498 and even potentially crowdsource it, sharing our health information, 121 00:05:37,522 --> 00:05:39,982 just like we share with our Google maps and driving, 122 00:05:40,006 --> 00:05:43,773 to improve our -- not our driving, but our health experience globally. 123 00:05:44,911 --> 00:05:46,308 So, that's great. 124 00:05:46,332 --> 00:05:48,604 We can potentially now collect this information. 125 00:05:48,628 --> 00:05:52,434 What if your labs can go from the central lab 126 00:05:52,458 --> 00:05:54,990 to your home, to your phone, to even inside our bodies 127 00:05:55,014 --> 00:05:57,616 to measure drug levels or other varieties? 128 00:05:58,085 --> 00:06:00,149 And of course, we're in the age of genomics, 129 00:06:00,173 --> 00:06:03,046 I've been sequenced, it's just less than 1,000 dollars today. 130 00:06:03,070 --> 00:06:05,569 And I can start to understand my pharmacogenomics -- 131 00:06:05,593 --> 00:06:08,252 how my genes impact, whether I need high dose, low dose, 132 00:06:08,276 --> 00:06:10,355 or maybe a different medication altogether. 133 00:06:10,379 --> 00:06:13,054 Let's imagine if your physician or your pharmacist, 134 00:06:13,078 --> 00:06:15,738 had this information integrated into their workflow, 135 00:06:15,762 --> 00:06:19,610 augmented with artificial intelligence, AI, or as I like to refer to it, IA -- 136 00:06:19,634 --> 00:06:21,229 intelligence augmentation, 137 00:06:21,253 --> 00:06:22,660 to leverage that information, 138 00:06:22,684 --> 00:06:25,256 to understand of the 18,000 or more approved drugs, 139 00:06:25,280 --> 00:06:28,601 which would be the right dose and combination for you. 140 00:06:28,625 --> 00:06:31,649 So great, now maybe we can optimize your drugs and your doses, 141 00:06:31,673 --> 00:06:34,823 but the problem today is, we're still using this amazing technology 142 00:06:34,847 --> 00:06:36,744 to keep track of our drugs. 143 00:06:36,768 --> 00:06:39,335 And of course, these technologies evolve, 144 00:06:39,359 --> 00:06:42,513 there's connected dispensers, reminder apps, 145 00:06:42,537 --> 00:06:45,553 smart pill bottle caps that can text or tweet you or your mother 146 00:06:45,577 --> 00:06:47,410 if you haven't taken your medications. 147 00:06:47,434 --> 00:06:49,252 PillPack was just acquired by Amazon, 148 00:06:49,276 --> 00:06:53,208 so assuming we may have same-day delivery of our drugs, delivered by drone. 149 00:06:53,807 --> 00:06:55,958 So, all these things are possible today, 150 00:06:55,982 --> 00:06:57,895 but we're still taking multiple pills. 151 00:06:57,919 --> 00:06:59,411 What if we can make it simpler? 152 00:06:59,435 --> 00:07:02,641 I think one of the solutions is to make better use of the polypill. 153 00:07:02,665 --> 00:07:06,196 A polypill is the integration of multiple medications into a single pill. 154 00:07:06,220 --> 00:07:09,736 And we have these today in common, over the counter cold and flu remedies. 155 00:07:09,760 --> 00:07:12,331 And there have been prevention polypill studies done, 156 00:07:12,355 --> 00:07:15,045 giving combinations of statins, blood pressure, aspirin, 157 00:07:15,069 --> 00:07:17,110 which in randomized studies have been shown 158 00:07:17,134 --> 00:07:19,450 to dramatically reduce risk, compared to placebo. 159 00:07:19,474 --> 00:07:23,506 But these polypills weren't personalized, they weren't optimized to the individual. 160 00:07:23,530 --> 00:07:26,117 What if we could optimize your personalized polypill? 161 00:07:26,141 --> 00:07:29,263 So it would be built for you, based on you, it could adapt to you, 162 00:07:29,287 --> 00:07:30,906 even every single day. 163 00:07:30,930 --> 00:07:34,850 Well, we're now in the era of 3D printing, you can print personalized braces, 164 00:07:34,874 --> 00:07:36,509 hearing aids, orthopedic devices, 165 00:07:36,533 --> 00:07:39,975 even I've been scanned and had my genes tailored to fit to me. 166 00:07:39,999 --> 00:07:41,254 So, this got me thinking, 167 00:07:41,278 --> 00:07:44,800 what if we could 3D print your personalized polypill? 168 00:07:44,824 --> 00:07:47,213 So instead of taking six medications, for example, 169 00:07:47,237 --> 00:07:48,935 I could integrate them into one. 170 00:07:48,959 --> 00:07:51,251 So it would be easier to take, improve adherence, 171 00:07:51,275 --> 00:07:53,926 and potentially, it could even integrate in supplements, 172 00:07:53,950 --> 00:07:56,823 like vitamin D or CoQ10. 173 00:07:57,173 --> 00:08:00,117 So with some help -- I call these intelli-meds -- 174 00:08:00,141 --> 00:08:02,887 and with the help of my IntelliMedicine engineering team, 175 00:08:02,911 --> 00:08:05,879 we built the first IntelliMedicine prototype printer. 176 00:08:05,903 --> 00:08:07,069 And here's how it works: 177 00:08:07,093 --> 00:08:09,553 instead of full tablets, we have small micromeds, 178 00:08:09,577 --> 00:08:10,998 one or two milligrams each, 179 00:08:11,022 --> 00:08:14,061 which are sorted and selected based on the dose and combination 180 00:08:14,085 --> 00:08:15,696 needed for an individual. 181 00:08:15,720 --> 00:08:18,180 And of course, these would be doses and combinations 182 00:08:18,204 --> 00:08:20,656 you could already take together, FDA-approved drugs. 183 00:08:20,680 --> 00:08:22,545 We could change the pharmacokinetics, 184 00:08:22,569 --> 00:08:26,699 by professionally layering on different elements to the individual micromeds. 185 00:08:27,569 --> 00:08:29,196 And when we hit print, 186 00:08:29,220 --> 00:08:32,482 you print your combination of medications that might be needed by you 187 00:08:32,506 --> 00:08:34,244 on any individual day. 188 00:08:34,268 --> 00:08:38,188 And we'd start with, again, generic drugs for the most common problems. 189 00:08:38,212 --> 00:08:41,863 About 90 percent of prescribed drugs today are low-cost generics. 190 00:08:41,886 --> 00:08:45,225 And once we've printed the pill, we can do some fun bells and whistles. 191 00:08:45,249 --> 00:08:47,276 We could print the name of the patient, 192 00:08:47,300 --> 00:08:50,069 the date, the day of the week, a QR code. 193 00:08:50,093 --> 00:08:54,086 We could print different meds for tapering for patient on a steroid taper, 194 00:08:54,110 --> 00:08:56,377 or tapering from pain medications. 195 00:08:56,958 --> 00:09:01,926 So, this is actually a look at our prototype in telemedicine printer. 196 00:09:01,950 --> 00:09:03,284 See, unveil it here. 197 00:09:03,974 --> 00:09:06,895 It has about 16 different silos, 198 00:09:06,919 --> 00:09:09,643 each containing individual micromeds. 199 00:09:10,704 --> 00:09:14,450 And I can now adjust on the software, individual dosings. 200 00:09:14,926 --> 00:09:18,363 And when I do that, the robotic arm will adjust 201 00:09:18,387 --> 00:09:21,498 the height of these [unclear] and the micromeds will release. 202 00:09:21,522 --> 00:09:22,672 I can now -- 203 00:09:23,093 --> 00:09:25,514 Automated process would rotate and cycle through, 204 00:09:25,538 --> 00:09:27,442 to make sure the micromeds are loaded. 205 00:09:27,466 --> 00:09:29,268 And when I hit print, 206 00:09:29,292 --> 00:09:31,704 these will all fall through the device, 207 00:09:31,728 --> 00:09:35,328 I now pull out my personalized printed polypill, 208 00:09:35,352 --> 00:09:38,873 with the doses and medications meant for me. 209 00:09:39,379 --> 00:09:42,315 And we can take a look, if you look back to the slides, 210 00:09:42,339 --> 00:09:45,958 sort of the whole process, we can see the drug silos being selected, 211 00:09:45,982 --> 00:09:47,990 the pills doing down the different silos, 212 00:09:48,014 --> 00:09:50,796 and being collected in the individual capsule. 213 00:09:50,820 --> 00:09:52,547 Now, this is great, 214 00:09:52,571 --> 00:09:54,635 I can potentially print my meds based on me, 215 00:09:54,659 --> 00:09:56,000 instead of taking six pills. 216 00:09:56,024 --> 00:09:59,192 I can now be looking at my individual dosing, 217 00:09:59,216 --> 00:10:01,410 my smart watch is looking at my blood pressure, 218 00:10:01,434 --> 00:10:03,982 I needed an adjustment in my blood pressure medicines, 219 00:10:04,006 --> 00:10:06,339 my coumadin level, my blood is too thin, 220 00:10:06,363 --> 00:10:10,291 so I lower my micromed dose of coumadin, a blood thinner. 221 00:10:10,315 --> 00:10:12,482 So, this could be smartly adapted, day to day, 222 00:10:12,506 --> 00:10:15,188 programmed by my physician or cardiologist. 223 00:10:15,212 --> 00:10:18,764 And you can imagine that larger printers, fast printers like this, 224 00:10:18,788 --> 00:10:21,553 could be in your corner pharmacy, 225 00:10:21,577 --> 00:10:23,756 in your doctor's office, in a rural clinic. 226 00:10:23,780 --> 00:10:27,740 But it could eventually merge and shrink to small ones, that could be in your home, 227 00:10:27,764 --> 00:10:30,859 with integrated cartridges like this, that are delivered by drone. 228 00:10:31,176 --> 00:10:33,205 Could print your personalized polypill, 229 00:10:33,229 --> 00:10:36,545 each morning on your kitchen or your bathroom cabinet. 230 00:10:36,569 --> 00:10:38,379 And this could evolve, I think 231 00:10:38,403 --> 00:10:42,212 into an incredible way to improve adherence in medications across the globe. 232 00:10:42,236 --> 00:10:46,275 So, I hope we can reimagine the future of medicine in new ways, 233 00:10:46,299 --> 00:10:47,828 moving from poly pharmacy, 234 00:10:47,852 --> 00:10:51,307 one-size-fits-all, low adherence complications, 235 00:10:51,331 --> 00:10:55,358 to an era of personalized, precise, on-demand medications, 236 00:10:55,382 --> 00:10:58,759 that can take us and individualize our own health, 237 00:10:58,783 --> 00:11:00,969 and health and medicine around the planet. 238 00:11:01,525 --> 00:11:02,859 Thank you very much. 239 00:11:02,883 --> 00:11:08,318 (Applause) 240 00:11:09,882 --> 00:11:11,953 Host: Daniel, that's kind of awesome. 241 00:11:11,977 --> 00:11:13,143 Really cool. 242 00:11:13,167 --> 00:11:14,561 Question for you, though. 243 00:11:14,585 --> 00:11:18,141 How long is it until, say that nursing-home patient that you mentioned 244 00:11:18,165 --> 00:11:20,442 is able to print their pills in their home? 245 00:11:20,752 --> 00:11:23,553 Daniel Kraft: Well, again, this is just a prototype. 246 00:11:23,577 --> 00:11:26,704 We think that the regular [unclear] be automated compounding, 247 00:11:26,728 --> 00:11:30,069 and especially in nursing homes, folks are taking multiple medications, 248 00:11:30,093 --> 00:11:31,395 and they're often mixed up, 249 00:11:31,419 --> 00:11:34,451 so it would be a perfect place to start with these technologies. 250 00:11:34,475 --> 00:11:38,150 These aren't going to evolve and start with printers on your bathroom counter. 251 00:11:38,174 --> 00:11:41,532 We need to be intelligent and smart about how we roll these things out, 252 00:11:41,556 --> 00:11:45,287 but realizing there's so many challenges with dosing, adherence and precision, 253 00:11:45,311 --> 00:11:47,915 and now that we have all these amazing new technologies 254 00:11:47,939 --> 00:11:49,686 that can integrate and be leveraged, 255 00:11:49,710 --> 00:11:52,838 I think we need approaches like this to really catalyze and foster 256 00:11:52,862 --> 00:11:54,643 a true future of health and medicine. 257 00:11:54,667 --> 00:11:56,326 Host: Great, thank you. DK: Thanks. 258 00:11:56,350 --> 00:11:58,636 (Applause)