Inside Scoop: How a DARPA Scientist Helped Usher in a Game-Changing Covid Treatment

Amy Jenkins is a program manager for the Defense Advanced Research Projects Agency's Biological Technologies Office, which runs a project called the Pandemic Prevention Platform.
Amy Jenkins was in her office at DARPA, a research and development agency within the Department of Defense, when she first heard about a respiratory illness plaguing the Chinese city of Wuhan. Because she's a program manager for DARPA's Biological Technologies Office, her colleagues started stopping by. "It's really unusual, isn't it?" they would say.
At the time, China had a few dozen cases of what we now call COVID-19. "We should maybe keep an eye on that," she thought.
Early in 2020, still just keeping watch, she was visiting researchers working on DARPA's Pandemic Prevention Platform (P3), a project to develop treatments for "any known or previously unknown infectious threat," within 60 days of its appearance. "We looked at each other and said, 'Should we be doing something?'" she says.
For projects like P3, groups of scientists—often at universities and private companies—compete for DARPA contracts, and program managers like Jenkins oversee the work. Those that won the P3 bid included scientists at AbCellera Biologics, Inc., AstraZeneca, Duke University, and Vanderbilt University.
At the time Jenkins was talking to the P3 performers, though, they didn't have evidence of community transmission. "We would have to cross that bar before we considered doing anything," she says.
The world soon leapt far over that bar. By the time Jenkins and her team decided P3 should be doing something—with their real work beginning in late February--it was too late to prevent this pandemic. But she could help P3 dig into the chemical foundations of COVID-19's malfeasance, and cut off its roots. That work represents, in fact, her roots.
In late February 2020, DARPA received a single blood sample from a recovered COVID-19 patient, in which P3 researchers could go fishing for antibodies. The day it arrived, Jenkins's stomach roiled. "We get one shot," she thought.
Fighting the Smallest Enemies
Jenkins, who's in her early 40s, first got into germs the way many 90s kids did: by reading The Hot Zone, a novel about a hemorrhagic fever gone rogue. It wasn't exactly the disintegrating organs that hooked her. It was the idea that "these very pathogens that we can't even see can make us so sick and bring us to our knees," she says. Reading about scientists facing down deadly disease, she wondered, "How do these things make you so sick?"
She chased that question in college, majoring in both biomolecular science and chemistry, and later became an antibody expert. Antibodies are proteins that hook to a pathogen to block it from attaching to your cells, or tag it for destruction by the rest of the immune system. Soon, she jumped on the "monoclonal antibodies" train—developing synthetic versions of these natural defenses, which doctors can give to people to help them battle an early-stage infection, and even to prevent an infection from taking root after an exposure.
Jenkins likens the antibody treatments to the old aphorism about fishing: Vaccines teach your body how to fish, but antibodies simply give your body the pesca-fare. While that, as the saying goes, won't feed you for a lifetime, it will last a few weeks or months. Monoclonal antibodies thus are a promising preventative option in the immediate short-term when a vaccine hasn't yet been given (or hasn't had time to produce an immune response), as well as an important treatment weapon in the current fight. After former president Donald Trump contracted COVID-19, he received a monoclonal antibody treatment from biotech company Regeneron.
As for Jenkins, she started working as a DARPA Biological Technologies Office contractor soon after completing her postdoc. But it was a suit job, not a labcoat job. And suit jobs, at first, left Jenkins conflicted, worried about being bored. She'd give it a year, she thought. But the year expired, and bored she was not. Around five years later, in June 2019, the agency hired her to manage several of the office's programs. A year into that gig, the world was months into a pandemic.
The Pandemic Pivot
At DARPA, Jenkins inherited five programs, including P3. P3 works by taking blood from recovered people, fishing out their antibodies, identifying the most effective ones, and then figuring out how to manufacture them fast. Back then, P3 existed to help with nebulous, future outbreaks: Pandemic X. Not this pandemic. "I did not have a crystal ball," she says, "but I will say that all of us in the infectious diseases and public-health realm knew that the next pandemic was coming."
Three days after a January 2020 meeting with P3 researchers, COVID-19 appeared in Seattle, then began whipping through communities. The time had come for P3 teams to swivel. "We had done this," she says. "We had practiced this before." But would their methods stand up to something unknown, racing through the global population? "The big anxiety was, 'Wow, this was real,'" says Jenkins.
While facing down that realness, Jenkins was also managing other projects. In one called PREPARE, groups develop "medical countermeasures" that modulate a person's genetic code to boost their bodies' responses to threats. Another project, NOW, envisions shipping-container-sized factories that can make thousands of vaccine doses in days. And then there's Prometheus—which means "forethought" in Greek, and is the name of the god who stole fire and gave it to humans. Wrapping up as COVID ramped up, Prometheus aimed to identify people who are contagious—with whatever—before they start coughing, and even if they never do.
All of DARPA's projects focus on developing early-stage technology, passing it off to other agencies or industry to put it into operation. The orientation toward a specific goal appealed to Jenkins, as a contrast to academia. "You go down a rabbit hole for years at a time sometimes, chasing some concept you found interesting in the lab," she says. That's good for the human pursuit of knowledge, and leads to later applications, but DARPA wants a practical prototype—stat.
"Dual-Use" Technologies
That desire, though, and the fact that DARPA is a defense agency, present philosophical complications. "Bioethics in the national-security context turns all the dials up to 10+," says Jonathan Moreno, a medical ethicist at the University of Pennsylvania.
While developing antibody treatments to stem a pandemic seems straightforwardly good, all biological research—especially that backed by military money—requires evaluating potential knock-on applications, even those that might come from outside the entity that did the developing. As Moreno put it, "Albert Einstein wasn't thinking about blowing up Hiroshima." Particularly sensitive are so-called "dual-use" technologies—those tools that could be used for both benign and nefarious purposes, or are of interest to both the civilian and military worlds.
Moreno takes Prometheus itself as an example of "dual-use" technology. "Think about somebody wearing a suicide vest. Instead of a suicide vest, make them extremely contagious with something. The flu plus Ebola," he says. "Send them someplace, a sensitive environment. We would like to be able to defend against that"—not just tell whether Uncle Fred is bringing asymptomatic COVID home for Christmas. Prometheus, Jenkins says, had safety in mind from the get-go, and required contenders to "develop a risk mitigation plan" and "detail their strategy for appropriate control of information."
To look at a different program, if you can modulate genes to help healing, you probably know something (or know someone else could infer something) about how to hinder healing. Those sorts of risks are why PREPARE researchers got their own "ethical, legal, and social implications" panel, which meets quarterly "to ensure that we are performing all research and publications in a safe and ethical manner," says Jenkins.
DARPA as a whole, Moreno says, is institutionally sensitive to bioethics. The agency has ethics panels, and funded a 2014 National Academies assessment of how to address the "ethical, legal, and societal issues" around technology that has military relevance. "In the cases of biotechnologies where some of that research brushes up against what could legitimately be considered dual-use, that in itself justifies our investment," says Jenkins. "DARPA deliberately focuses on safety and countermeasures against potentially dangerous technologies, and we structure our programs to be transparent, safe, and legal."
Going Fishing
In late February 2020, DARPA received a single blood sample from a recovered COVID-19 patient, in which P3 researchers could go fishing for antibodies. The day it arrived, Jenkins's stomach roiled. "We get one shot," she thought.
As scientists from the P3-funded AbCellera went through the processes they'd practiced, Jenkins managed their work, tracking progress and relaying results. Soon, the team had isolated a suitable protein: bamlanivimab. It attaches to and blocks off the infamous spike proteins on SARS-CoV-2—those sticky suction-cups in illustrations. Partnering with Eli Lilly in a manufacturing agreement, the biotech company brought it to clinical trials in May, just a few months after its work on the deadly pathogen began, after much of the planet became a hot zone.
On November 10—Jenkins's favorite day at the (home) office—the FDA provided Eli Lilly emergency use authorization for bamlanivimab. But she's only mutedly screaming (with joy) inside her heart. "This pandemic isn't 'one morning we're going to wake up and it's all over,'" she says. When it is over, she and her colleagues plan to celebrate their promethean work. "I'm hoping to be able to do it in person," she says. "Until then, I have not taken a breath."
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
MRI scans after a new kind of immunotherapy for brain cancer show remarkable progress in one patient just days after the first treatment.
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
A recent study in The Lancet Oncology showed that AI found 20 percent more cancers on mammogram screens than radiologists alone.
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.