Experts Warn Increased Surveillance to Track the Outbreak Could Become Permanent
As countries around the world combat the coronavirus outbreak, governments that already operated sophisticated surveillance programs are ramping up the tracking of their citizens.
"The potential for invasions of privacy, abuse, and stigmatization is enormous."
Countries like China, South Korea, Israel, Singapore and others are closely monitoring citizens to track the spread of the virus and prevent further infections, and policymakers in the United States have proposed similar steps. These shifts in policy have civil liberties defenders alarmed, as history has shown increases in surveillance tend to stick around after an emergency is over.
In China, where the virus originated and surveillance is already ubiquitous, the government has taken measures like having people scan a QR code and answer questions about their health and travel history to enter their apartment building. The country has also increased the tracking of cell phones, encouraged citizens to report people who appear to be sick, utilized surveillance drones, and developed facial recognition that can identify someone even if they're wearing a mask.
In Israel, the government has begun tracking people's cell phones without a court order under a program that was initially meant to counter terrorism. Singapore has also been closely tracking people's movements using cell phone data. In South Korea, the government has been monitoring citizens' credit card and cell phone data and has heavily utilized facial recognition to combat the spread of the coronavirus.
Here at home, the United States government and state governments have been using cell phone data to determine where people are congregating. White House senior adviser Jared Kushner's task force to combat the coronavirus outbreak has proposed using cell phone data to track coronavirus patients. Cities around the nation are also using surveillance drones to maintain social distancing orders. Companies like Apple and Google that work closely with the federal government are currently developing systems to track Americans' cell phones.
All of this might sound acceptable if you're worried about containing the outbreak and getting back to normal life, but as we saw when the Patriot Act was passed in 2001 in the wake of the 9/11 terrorist attacks, expansions of the surveillance state can persist long after the emergency that seemed to justify them.
Jay Stanley, senior policy analyst with the ACLU Speech, Privacy, and Technology Project, says that this public health emergency requires bold action, but he worries that actions may be taken that will infringe on our privacy rights.
"This is an extraordinary crisis that justifies things that would not be justified in ordinary times, but we, of course, worry that any such things would be made permanent," Stanley says.
Stanley notes that the 9/11 situation was different from this current situation because we still face the threat of terrorism today, and we always will. The Patriot Act was a response to that threat, even if it was an extreme response. With this pandemic, it's quite possible we won't face something like this again for some time.
"We know that for the last seven or eight decades, we haven't seen a microbe this dangerous become a pandemic, and it's reasonable to expect it's not going to be happening for a while afterward," Stanley says. "We do know that when a vaccine is produced and is produced widely enough, the COVID crisis will be over. This does, unlike 9/11, have a definitive ending."
The ACLU released a white paper last week outlining the problems with using location data from cell phones and how policymakers should proceed when they discuss the usage of surveillance to combat the outbreak.
"Location data contains an enormously invasive and personal set of information about each of us, with the potential to reveal such things as people's social, sexual, religious, and political associations," they wrote. "The potential for invasions of privacy, abuse, and stigmatization is enormous. Any uses of such data should be temporary, restricted to public health agencies and purposes, and should make the greatest possible use of available techniques that allow for privacy and anonymity to be protected, even as the data is used."
"The first thing you need to combat pervasive surveillance is to know that it's occurring."
Sara Collins, policy counsel at the digital rights organization Public Knowledge, says that one of the problems with the current administration is that there's not much transparency, so she worries surveillance could be increased without the public realizing it.
"You'll often see the White House come out with something—that they're going to take this action or an agency just says they're going to take this action—and there's no congressional authorization," Collins says. "There's no regulation. There's nothing there for the public discourse."
Collins says it's almost impossible to protect against infringements on people's privacy rights if you don't actually know what kind of surveillance is being done and at what scale.
"I think that's very concerning when there's no accountability and no way to understand what's actually happening," Collins says. "The first thing you need to combat pervasive surveillance is to know that it's occurring."
We should also be worried about corporate surveillance, Collins says, because the tech companies that keep track of our data work closely with the government and do not have a good track record when it comes to protecting people's privacy. She suspects these companies could use the coronavirus outbreak to defend the kind of data collection they've been engaging in for years.
Collins stresses that any increase in surveillance should be transparent and short-lived, and that there should be a limit on how long people's data can be kept. Otherwise, she says, we're risking an indefinite infringement on privacy rights. Her organization will be keeping tabs as the crisis progresses.
It's not that we shouldn't avail ourselves of modern technology to fight the pandemic. Indeed, once lockdown restrictions are gradually lifted, public health officials must increase their ability to isolate new cases and trace, test, and quarantine contacts.
But tracking the entire populace "Big Brother"-style is not the ideal way out of the crisis. Last week, for instance, a group of policy experts -- including former FDA Commissioner Scott Gottlieb -- published recommendations for how to achieve containment. They emphasized the need for widespread diagnostic and serologic testing as well as rapid case-based interventions, among other measures -- and they, too, were wary of pervasive measures to follow citizens.
The group wrote: "Improved capacity [for timely contact tracing] will be most effective if coordinated with health care providers, health systems, and health plans and supported by timely electronic data sharing. Cell phone-based apps recording proximity events between individuals are unlikely to have adequate discriminating ability or adoption to achieve public health utility, while introducing serious privacy, security, and logistical concerns."
The bottom line: Any broad increases in surveillance should be carefully considered before we go along with them out of fear. The Founders knew that privacy is integral to freedom; that's why they wrote the Fourth Amendment to protect it, and that right shouldn't be thrown away because we're in an emergency. Once you lose a right, you don't tend to get it back.
A new type of cancer therapy is shrinking deadly brain tumors with just one 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.”
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.