Precision medicine is often equated with high-tech, exquisitely targeted, million-dollar drug treatments. But at Precision Medicine 2018, hosted by Harvard Medical School’s Department of Biomedical Informatics (DBMI) this week, many of the speakers and panelists were more concerned about improving health for everyone and making better use of what we already have: data.
This is part I of a two-part blog series recapping the 2018 BIO International Convention.
At the 2018 BIO International Convention last week, it was clear what’s provoking scientific minds in industry and academia — or at least those of the Guinness-world-record-making 16,000 people in attendance. Artificial intelligence, machine learning and their implications for tailor-made medicine bubbled up across all BIO’s educational tracks and a majority of discussions about the future state of biotechnology. Panelists from Boston Children’s Hospital also contributed their insights to what’s brewing at the intersection of these burgeoning fields.
Isaac Kohane, MD, PhD, former chair of Boston Children’s Computational Health and Informatics Program, spoke on a panel about how large-scale patient data — if properly harnessed and analyzed for health and disease trends — is a virtual goldmine for precision medicine insights. Patterns gleaned from population health data or electronic health records, for example, could help identify which subgroups of patients who might respond better to specific therapies.
According to Kohane, who is currently the Marion J. Nelson Professor of Biomedical Informatics and Pediatrics at Harvard Medical School (HMS), we will soon be leveraging artificial intelligence to go through patient records and determine exactly what doctors were thinking when they saw patients.
“We’ve seen again and again that data abstraction by artificial intelligence is better than abstraction by human analysts when performed at the scale of millions of clinical notes across thousands of patients,” said Kohane.
And based on what we heard at BIO, artificial intelligence will revolutionize more than patient data mining. It will also transform the way we design precision therapeutics — and even vaccines — from the ground up. …
During the 1918 influenza pandemic, the average life expectancy in the U.S. dropped below 40 years old. Today, public health and medical professionals need to be actively preparing for the next great pandemic, according to leaders of the Massachusetts Medical Society, The New England Journal of Medicine and Microsoft founder Bill Gates, who delivered the keynote address at a Boston-based meeting on April 27 called Epidemics Going Viral: Innovation vs. Nature. Here’s recap of what we heard from various panelists.
The five key drivers of epidemics are population growth/urbanization, travel, animals, environmental/climate changes and conflicts/natural disasters, according to Harvey Fineberg, MD, PhD, President of the Gordon and Betty Moore Foundation and former president of the Institute of Medicine. When it comes to predicting and preventing the next epidemic, Fineberg believes that data from a social media platform like Twitter isn’t going to help identify the next big outbreak.
But John Brownstein, PhD, an epidemiologist and Chief Innovation Officer at Boston Children’s Hospital, disagreed with that idea.
“I believe it’s possible for Twitter to find the next microbe,” Brownstein said. “This information comes in real time and at global scale.” Attendees who were live tweeting with the hashtag #epidemicsgoviral were quick to highlight this difference of opinion.
Uber flu shot, “a cool millennial thing to do”
Anne Schuchat, MD, deputy director of the Centers of Disease Control, busted the myth that non-vaccination rates are rising. She explained that media stories about anti-vaccination supporters can make it seem as though vaccination rates are falling when they actually aren’t.
“Less than one percent of kids aren’t vaccinated in the U.S.,” Schuchat said.
But some vaccinations, like the annual flu shot, still have big gaps to close. Brownstein described how a partnership with Uber — dispatching flu vaccines and nurses to people’s homes — was able to influence people to get their first-ever flu shot. …
The 2018 Winter Olympics have brought nearly 3,000 delegates from 206 countries together in PyeongChang, South Korea. But just a week after kicking off on February 8, the games and its attendees are already being interrupted by a fast-spreading norovirus outbreak.
Norovirus is an extremely infectious disease transmitted through food, water or by touching a contaminated surface. Infection causes inflammation of the stomach and intestines, which can lead to symptoms including stomach pains, nausea, vomiting and diarrhea.
In PyeongChang, there have already been 199 confirmed cases of norovirus — many of those sickened have been security guards hired for the games. Due to severe gastrointestinal symptoms, 41 guards have been hospitalized and more than 1,200 were placed in quarantine. …