Skip the Humans: Drug Discovery by Simulating Cells

Virtual clinical trials would combine big data and computer simulation.
More
A microscopic view shows a colony of human embryonic stem cells. (Reuters)

The future of medicine, we're often told, will be personalized. We'll have gene therapies, wearables to monitor our vital signs—maybe even new kinds of vital signs—and robot doctors to diagnose our illnesses. 

But the real promise of personalized medicine is, counterintuitively enough, that it's not actually just about you. Improving one person's health care will mean taking what we know about everyone else and feeding that data back into a more personalized system.  

If you think about it, that's how medicine already works. Doctors are trained to recognize how likely it is that an individual's unique symptoms and characteristics point to an issue that many others have experienced before. And medical professionals are often really, really good at putting together the evidence—you have a runny nose but not a stiff neck, you're sneezing but you don't have a fever—to figure out exactly what's going on.

But, medical futurists say, they're about to get a lot better at it. 

* * *

The idea is to combine big data and computer simulations—the kind an engineer might use to make a virtual prototype of a new kind of airplane—to figure out not just what's wrong with you but to predict which course of treatment is best for you. That's the focus of Dassault Systèmes, a French software company that's using broad datasets to create cell-level simulations for all different kinds of patients. In other words, by modeling what has happened to patients like you in previous cases, doctors can better understand what might happen if they try certain treatments for you—taking into consideration your age, your weight, your gender, your blood type, your race, your symptom, any number of other biomarkers. And we're talking about a level of precision that goes way beyond text books and case studies. 

"When you have surgery on the heart of even medicine on certain organs, it's not Mr. Anybody or Mrs. Anybody, it's you—a certain set of contextual characteristics," said Bernard Charlès, CEO for Dassault Systèmes. "We try to reveal from data certain characteristics from which we can build a theoretical model that will then be used to validate simulation, then calibrate as a result of that simulation."

The calibration part is key because it means that the more data that engineers have, the smarter their systems become. And with reliable simulations for what's happening at the cellular level, this approach could be used to treat patients and also to test new drugs and devices. Dassault Systèmes is focusing on that level of granularity now, trying to simulate propagation of cholesterol in human cells and building oncological cell models. "It's data science and modeling," Charlès told me. "Coupling the two creates a new environment in medicine."

Charlès and his colleagues believe that a shift to virtual clinical trials—that is, testing new medicines and devices using computer models before or instead of trials in human patients—could make new treatments available more quickly and cheaply. "A new drug, a succesful drug, takes 10 to 12 years to develop and over $1 billion in expenses," said Max Carnecchia, president of the software company Accelrys, which Dassault Systèmes recently acquired. "But when it is approved by FDA or other government bodies, typically less than 50 percent of patients respond to that therapy or drug." No treatment is one-size-fits-all, so why spend all that money on a single approach?

Carnecchia calls the shift toward algorithmic clinical trials a "revolution in drug discovery" that will allow for many quick and low-cost simulations based on an endless number of individual cellular models. "Those models start to inform and direct and focus the kinds of clinical trials that have historically been the basis for drug discovery," Carnecchia told me. "There's the benefit to drug companies from reduction of cost, but more importantly being able to get these therapies out into the market—whether that's saving lives or just improving human health—in such a way where you start to know ahead of time whether that patient will actually respond to that therapy."

Of course, the big question is when this revolution will actually change the way you get medical treatment, and it may be a while. Getting enough data to create reliable simulations will require a cultural shift in medicine toward openness and resource sharing—specifically among competitive pharmaceutical companies—on a global level. There are rumblings in this direction, Charlès says, but the change is only just beginning. 

Eventually, the sorts of models that Dassault Systèmes and others want to build could mean health care tailored to you at every turn. And saving money during the trial phase—plus potentially eliminating much of the need for patients to bounce between specialists since doctors would have access to far more robust datasets and simulations—would offset the cost of designing one-of-a-kind devices and treatments, Charlès says.

"This is not about a nominal vascular network, it's about my vascular network," he told me. "I believe in the future they will not use nominal stents but prothesis-like stents designed for you to fit perfectly."

Carnecchia puts it simply: "Precision matters." 

Jump to comments
Presented by

Adrienne LaFrance

Adrienne LaFrance is a senior associate editor at The Atlantic, where she oversees the Technology Channel. Previously she worked as an investigative reporter for Honolulu Civil Beat, Nieman Journalism Lab, and WBURMore

Her writing has appeared in The New York Times, The Washington Post, Gawker, The Awl, and several other publications. 
Get Today's Top Stories in Your Inbox (preview)

What Is the Greatest Story Ever Told?

A panel of storytellers share their favorite tales, from the Bible to Charlotte's Web.


Elsewhere on the web

Join the Discussion

After you comment, click Post. If you’re not already logged in you will be asked to log in or register. blog comments powered by Disqus

Video

The Death of Film

You'll never hear the whirring sound of a projector again.

Video

How to Hunt With Poison Darts

A Borneo hunter explains one of his tribe's oldest customs: the art of the blowpipe

Video

A Delightful, Pixar-Inspired Cartoon

An action figure and his reluctant sidekick trek across a kitchen in search of treasure.

Video

I Am an Undocumented Immigrant

"I look like a typical young American."

Video

Why Did I Study Physics?

Using hand-drawn cartoons to explain an academic passion

Writers

Up
Down

More in Technology

Just In