“Click Clotting” Technique Rapidly Creates Stronger Blood Clots

Researchers at McGill University have developed a rapid way to engineer blood clots that stop severe bleeding and support tissue healing more effectively. Their technique, called “click clotting,” links red blood cell surface proteins through a chemical reaction, resulting in a biocompatible clot that is 13 times more resistant to fracturing and four times more adhesive than natural blood clots. The team said the method could be used to develop life-saving biomaterials to help control severe bleeding, as well as benefit people with clotting disorders.

“Natural blood clots can be slow to form and mechanically fragile, which limits their ability to stop severe bleeding and can compromise healing,” said Jianyu Li, PhD, senior author and professor of mechanical engineering and Canada research chair in tissue repair and regeneration. “Our work shows that, when engineered appropriately, red blood cells can play a central structural role, enabling the design of stronger and more functional biomaterials.”

Senior and corresponding author Li, together with first author Shuaibing Jiang, PhD, reported on the development in Nature, in a paper titled “Engineering tough blood clots for rapid hemostasis and enhanced regeneration.” In their paper the team concluded, “Our strategy enables instantaneous clotting and markedly enhanced fracture resistance despite low structural polymer content, while preserving the intrinsic bioactivity of blood clots to enhance hemostasis and regeneration.”

Jiang, now a postdoctoral associate at Harvard Medical School, led the research during his PhD studies at McGill. Researchers at the University of British Columbia, the Medical College of Wisconsin, the University of Colorado Boulder, the University of Toronto and the research institute Versiti also contributed.

“Blood clots are pivotal for hemostasis and regeneration, but they are mechanically weak and form slowly, posing risks for life-threatening hemorrhage and limiting broader applications,” the authors wrote. “These limitations are attributed to complex coagulation cascades, abundant mechanically ineffective cells, and little structural polymers.”

Previous efforts to crosslink red blood cells (RBCs) have used chitosan, a polymer derived from crustacean shells, but these led to brittle clots, ruptured cells, and inconsistent clotting. In “click clotting,” the clot structure is fundamentally strengthened through a fast, bio-safe chemical reaction that connects proteins on the red blood cell surface, forming a solid gel in just five seconds. Because the “click” reaction doesn’t interfere with normal blood chemistry, it can work alongside the body’s natural clotting process. As a result, the artificial cell‑based gel, called a “cytogel,” can be added to whole blood, where it becomes embedded within the body’s own fibrin clot.

Shuaibing Jiang (left) and Jianyu Li [Jianyu Li]
Shuaibing Jiang (left) and Jianyu Li [Jianyu Li]

“Here we report a strategy that rapidly crosslinks red blood cells into tough cytogels and integrates them within blood clots,” the team further explained. “The resulting engineered blood clots (EBCs) form within seconds and exhibit a 13-fold increase in fracture toughness, and a 4-fold improvement in adhesion energy compared with native clots … Our strategy is advantageous over previously reported methods using chitosan to crosslink RBCs, which lead to brittle clots, hemolysis or inconsistent clotting.”

Li added, “The technology enables both autologous clots (using the patient’s own blood) and allogeneic clots (using type-matched donor blood). Autologous clots can be prepared in approximately 20 minutes, while allogeneic clots can be prepared within about 10 minutes. Given typical clinical time constraints, this approach has strong potential for in-patient emergency care, wound management and related settings.”

The team confirmed their results through in vitro testing, as well as through tests in rodents. “In vivo studies demonstrate that EBCs can rapidly halt hemorrhage, promote tissue regeneration, mitigate inflammation and foreign body reactions, and prevent postoperative adhesion,” the authors stated. Of particular note was effective healing and regeneration observed in the injured liver, with performance exceeding that of a clinically used product tested also tested as part of the study. “Compared with previously reported biomaterials for liver regeneration, EBC demonstrated milder inflammation and more efficient tissue regeneration,” the authors noted. Analyses showed minimal evidence of immune reactivity and no toxicity in major organs.

The researchers say that while further study is required before the cytogel can be used in clinical settings, the research establishes a foundation for its design and application.  “Overall, EBC, as a native scaffolding material, can promote tissue regeneration with minimal inflammation and foreign body responses, and prevent postoperative adhesions, outperforming the clinically used products,” the scientists concluded. “This work may motivate the development and translation of highly cellularized materials for bleeding control, wound management, tissue repair and regenerative medicine.”

“Engineered blood clots have strong potential for broad clinical use and could improve outcomes across many medical situations,” Li said.

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It’s time to make a plan for nuclear waste

Today, nuclear energy enjoys a rare moment of support across the political spectrum in the US. Interest from tech companies that are scrambling to meet demand for massive data centers has sparked a resurgence of money and attention in the industry. That newfound interest is exactly why it’s time to talk about an old problem: nuclear waste. 

In the US alone, nuclear reactors produce about 2,000 metric tons of high-level waste each year. And there’s nowhere to put it.

Though newly popular, the nuclear program in the US is nothing new. The US hosts more reactors and production capacity than any other country in the world. And yet nearly seven decades after the first permanent nuclear facility in the US went online, there’s still not a long-term solution for nuclear waste. 

Used fuel is largely stored onsite at operating and shut-down reactors, in pools and casks made of steel and concrete. Experts generally agree that these methods are safe, but they’re not designed to be permanent.

The leading strategy around the world for long-term storage of this high-level radioactive waste is to house it in a deep geological repository—dig a hole, put radioactive material down there, and fill it up with concrete. These holes, hundreds of meters underground, are designed to be a permanent home.

There aren’t any operating geological repositories for spent fuel yet, but some countries are well on their way. Finland is the furthest along; as of 2026, the country is testing its facility. Final approvals are expected soon, and operations could start later this year. Some other countries aren’t far behind.

France is home to over 50 nuclear reactors, and its grid gets more of its power from nuclear than any other. The country also has the world’s most established program for reprocessing spent fuel. The process separates out the plutonium and uranium to create a type of fuel known as mixed oxide (MOX) fuel. But reprocessing isn’t a perfect recycling loop, so the leftovers from this process still need somewhere to go. The country currently stores waste onsite at the La Hague reprocessing plant, but it plans to build a repository. Initial approvals could come later this decade, and pilot operations could start up by 2035.

Technically, the US also has a destination for its spent fuel: Yucca Mountain in Nevada. The site, which is on federal land, was designated by Congress in 1987. However, progress has entirely stalled out because of political opposition. In 2011, the federal government stopped providing funding for the site, and for roughly a decade, there’s been no activity to speak of.

In the meantime, waste continues to pile up.

The nuclear industry is kicking into a new gear around the world. China is home to the world’s fastest–growing nuclear energy program, and countries including Bangladesh and Turkey are building their first reactors.

Even the long-established US program is seeing growth: Interest in and approval for nuclear energy have spiked, and Big Tech is throwing money around to meet rising electricity demand. Companies are proposing (and beginning to receive regulatory approval for) next-generation reactors, which employ different coolants, fuels, and designs.

Given all this new interest, and the impending arrival of new types of nuclear waste, it’s time for nuclear companies, as well as their powerful customers, to push for progress on building geological storage facilities. As the richest country on the planet and home to a large chunk of the activity in next-generation reactors, the US should aim to join the leaders rather than continue to lag behind. 

Directing even a small fraction of the recent surge in funding and attention to progress on waste could make a difference. Some experts are calling for a new organization in the US to manage nuclear waste rather than leaving it to the Department of Energy. This organization would mirror programs in Finland, Canada, and France.

The process of planning, building, and commissioning a permanent solution for nuclear waste is a long one. Finland started planning in the 1980s and selected its site in the early 2000s, and it’s nearly ready to start accepting waste. For countries that don’t have a permanent storage solution sorted, the best time to start was decades ago. But the second-best time is now. 

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here. 

Kingstec advances real-time medical asset tracking

NEWS RELEASE: Kingstec celebrates Technology Trace Inc.’s breakthrough in real-time medical asset management Strategic manufacturing partnership instrumental in bringing innovative medical asset tracking technology to Ontario hospitals Kingstec Technologies, a leader in project management, engineering, manufacturing, and logistics solutions, is proud to announce the successful implementation of Technology Trace Inc’s trevii platform at St. Joseph’s Healthcare Hamilton (St.…

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Prostate Cancer Therapy Targets Disordered Region of Androgen Receptor

In a new study published in Nature Signal Transduction and Targeted Therapy titled, “Drugging the intrinsically disordered transactivation domain of androgen receptor,” researchers from the University of British Columbia and BC Cancer present a new approach for designing drugs that bind more strongly to intrinsically disordered proteins. These proteins play a central role in a wide range of diseases, including cancer, neurodegenerative disorders, heart disease and autoimmune conditions, and are extremely difficult to target due to their flexible nature.

Transactivation domains (TADs) of transcription factors are enriched in intrinsically disordered regions (IDRs) that lack a stable three-dimensional structure. The plasticity of an IDR permits dynamic conformations that regulate cellular and biological functions. 

The new study developed inhibitors that bound to the TADs of the androgen receptor, a therapeutic target for prostate cancer. While therapeutic interventions often target its folded ligand-binding domain (LBD), resistance ultimately develops due to reactivation of androgen receptor signaling. 

Inhibitors stabilized the protein in the inactive state to prevent the activation of genes that drive cancer growth. In animal studies, several compounds slowed prostate cancer growth more effectively than a commonly used prostate cancer treatment. Notably, several antigen receptor TAD inhibitors displayed strong binding affinities higher than, or were comparable to the LBD-inhibitor enzalutamide, with dissociation constants in the picomolar to low-nanomolar range 

“Most drug discovery is like designing a key for a very specific lock,” said Marianne Sadar, PhD, professor of pathology and laboratory medicine at the UBC faculty of medicine, distinguished scientist at BC Cancer, and co-corresponding author of the study. “But disordered proteins don’t behave like locks at all, they’re more like moving strands of spaghetti.”   

“This study shows that proteins previously thought to be undruggable can be drugged with remarkable efficacy,” she continued. “The findings could have profound implications for the treatment of cancer and other diseases, providing a roadmap for the development of new treatments.”   

“What surprised us was how effectively these molecules could attach to a protein that doesn’t have a fixed structure,” said Raymond Andersen, PhD, professor in UBC’s department of chemistry and co-corresponding author of the study. “We were able to shut down the androgen receptor even in situations where current prostate cancer drugs stop working.”   

The researchers now aim to advance the most promising candidates toward clinical trials, with the goal of developing prostate cancer drugs for early intervention and with fewer side-effects.  

“If the approach continues to prove successful, it could dramatically expand the number of proteins that scientists can target with medicines—turning what was once considered a dead end into a promising new frontier for drug discovery,” said Sadar. 

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Oxygen extraction fraction is differentially associated with pathological biomarkers in Alzheimer’s disease and non-Alzheimer’s dementias

IntroductionWe aimed to understand the pathophysiological differences between 16 Alzheimer’s disease (AD) and 15 non-AD dementia patients by quantifying oxygen extraction fraction (OEF) in cortical (CGM) and deep gray matter (DGM) regions.MethodsTo achieve this, we used a novel MRI-based OEF mapping technique, QQ, which estimates OEF from routine multi-echo gradient echo data. Multiple linear regression analyses were performed to compare the associations between OEF and white matter hyperintensities (WMH) or cognitive impairment (measured by Montreal Cognitive Assessment (MoCA) between the two groups.ResultsIn the AD and non-AD group, OEF showed negative associations with WMH in DGM and positive associations with MoCA in DGM and CGM.DiscussionOur study suggests that QQ is a promising tool for differentiating between AD and non-AD dementias, by revealing abnormalities in tissue oxygen usage and their relationships to microvascular changes and cognitive impairment.

Health-care AI is here. We don’t know if it actually helps patients.

I don’t need to tell you that AI is everywhere.

Or that it is being used, increasingly, in hospitals. Doctors are using AI to help them with notetaking. AI-based tools are trawling through patient records, flagging people who may require certain support or treatments. They are also used to interpret medical exam results and X-rays.

A growing number of studies suggest that many of these tools can deliver accurate results. But there’s a bigger question here: Does using them actually translate into better health outcomes for patients?

We don’t yet have a good answer.

That’s what Jenna Wiens, a computer scientist at the University of Michigan, and Anna Goldenberg of the University of Toronto, argue in a paper published in the journal Nature Medicine this week.

Wiens tells me she has spent years investigating how AI might benefit health care. For the first decade of her career she tried to pitch the technology to clinicians. Over the last few years, she says, it’s as though “a switch flipped.” Health-care providers not only appear much more interested in the promise of these technologies, they have also begun rapidly deploying them.

The problem is that many providers aren’t rigorously assessing how well they actually work.

Take “ambient AI” tools, for example. Also known as AI scribes, they “listen” to conversations between doctors and patients, then transcribe and summarize them. Multiple tools are available, and they are already being widely adopted by health-care providers.

A few months ago, a staffer at a major New York medical center who develops AI tools for doctors told me that, anecdotally, medics are “overjoyed” by the technology—it allows them to focus all their attention on their patients during appointments, and it saves them from a lot of time-consuming paperwork. Early studies support these anecdotes and suggest that the tools can reduce clinician burnout.

That’s all well and good. But what about patient health outcomes? “[Researchers] have evaluated provider or clinician and patient satisfaction, but not really how these tools are affecting clinical decision-making,” says Wiens. “We just don’t know.”

The same holds true for other AI-based technologies used in health-care settings. Some are used to predict patients’ health trajectories, others to recommend treatments. They are designed to make health care more effective and efficient.

But even a tool that is “accurate” won’t necessarily improve health outcomes. AI might speed up the interpretation of a chest X-ray, for example. But how much will a doctor rely on its analysis? How will that tool affect the way a doctor interacts with patients or recommends treatment? And ultimately: What will this mean for those patients?

The answers to those questions might vary between hospitals or departments and could depend on clinical workflows, says Wiens. They might also differ between doctors at various stages of their careers.

Take the AI scribes, as another example. Some research on AI use in education suggests that such tools can impact the way people cognitively process information. Could they affect the way a doctor processes a patient’s information? Will the tools affect the way medical students think about patient data in a way that impacts care? These questions need to be explored, says Wiens. “We like things that save us time, but we have to think about the unintended consequences of this,” she says.

In a study published in January 2025, Paige Nong at the University of Minnesota and her colleagues found that around 65% of US hospitals used AI-assisted predictive tools. Only two-thirds of those hospitals evaluated their accuracy. Even fewer assessed them for bias.

The number of hospitals using these tools has probably increased since then, says Wiens. Those hospitals, or entities other than the companies developing the tools, need to evaluate how much they help in specific settings. There’s a possibility that they could leave patients worse off, although it’s more likely that AI tools just aren’t as beneficial as health-care providers might assume they are, says Wiens.

“I do believe in the potential of AI to really improve clinical care,” says Wiens, who stresses that she doesn’t want to stop the adoption of AI tools in health care. She just wants more information about how they are affecting people. “I have to believe that in the future it’s not all AI or no AI,” she says. “It’s somewhere in between.”

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.
 

One town’s scheme to get rid of its geese

“Pull over!” I order my brother one sunny February afternoon. Our target is in sight: a gaggle of Canada geese, pecking at grass near the dog park. As I approach, tiptoeing over their grayish-white poop, I notice that one bird wears a white cuff around its slender black neck. It’s a GPS tracker—part of a new tech-centered campaign to drive the geese out of my hometown of Foster City, California. 

the United States with a dot on the California coast line
__________________________
THE PLACE
Foster City, CA
USA

About 300 geese live in this sleepy Bay Area suburb, equal to nearly 1% of our human population—and some say this town isn’t big enough for the both of us. Goose poop notoriously blanketed our middle school’s lawn, and the birds have hassled residents for generations. My own grandmother remembers when geese took over her garage for five whole minutes before waddling out. She says, “I wanted to kill them, but I thought I’d get in trouble.”

Indeed, that idea doesn’t fly here. City officials backed out of a previous plan to kill 100 geese following uproar from local environmentalists. Still, the poop creates a public health hazard; the birds need to go. 

So the city paid nearly $400,000—roughly $1,300 per goose—to Wildlife Innovations, a company that resolves conflicts between humans and wildlife, to haze the geese with gadgets. The company’s approach is “basically, making the geese less comfortable,” Dan Biteman, head of the goose management plan and senior wildlife biologist at Wildlife Innovations, tells me.

The need for such conflict resolution is on the rise as land development collides with changes in animal behavior. Though overpopulation of Canada geese is a national nuisance in the US, such tensions also surface with other species in this country and elsewhere, including grizzlies on the Montana prairies, coyotes on San Francisco streets, and savanna elephants in Tanzania parks. 

So the people whose job it is to deal with recalcitrant critters are bringing on the gadgets.

Back in Foster City, I spot a black camera mounted to a tree trunk at Gull Park by the lagoon. They’re in seven parks around town, programmed to snap photos every 15 minutes and transmit them back to Wildlife Innovations HQ. If they detect geese, a biologist immediately drives over to disperse the birds. One team member uses devices like lasers or drones; another brings along a goose-hating border collie named Rocky. 

An orange foam pontoon boat with yellow eyes and sharp-looking jagged teeth
Belligerent birds must grapple with the Goosinator.
ANNIKA HOM

As a special measure, staff deploy the “Goosinator,” a small, remote-controlled neon-orange pontoon boat with a fearsome dog-like mouth painted on its bow, meant to evoke geese’s fear of coyotes and bright colors. It comes with attachable wheels and can zoom around on land or water to chase birds away. Biteman tells me the company is thinking about mounting speakers on trees and flying drones that will screech the calls of goose predators like red-tailed hawks or golden eagles. 

The company received federal permits required by the Migratory Bird Treaty Act to stick GPS trackers on 10 geese, too. This way, staff can surveil the geese and research their behavior and movements. 

At local goose hangouts, signs that look like “Wanted” posters alert the public to the new plan. As I watch some culprits graze (and defecate) on a church lawn, I think to myself: Enjoy it while it lasts. 

Annika Hom is an award-winning independent journalist. She’s written for National Geographic, Wired, and more.

Sepsis Fast Diagnostics Could Save Lives and Billions in Costs

Fast diagnostics could improves patient outcomes and save billions in healthcare costs if used systematically to identify sepsis in hospitalized adults at risk due to bloodstream infections, according to an independent report.

The research encompassing all G7 countries revealed multiple benefits from earlier intervention for time-critical infections through the extensive application of fast identification and antimicrobial susceptibility testing (Fast ID/AST).

The Value of Fast Diagnostics in Time-critical Infections report by the independent Office of Health Economics showed how systematic use of fast diagnostics would lead to far fewer sepsis-related deaths and significantly decrease long-term post-sepsis complications, thereby improving patients’ quality of life.

The multi-country economic evaluation, commissioned and funded by bioMérieux, also showed major savings in healthcare costs each year, with the magnitude dependent on country size, incidence, and cost structures.

“While the magnitude varies by country, the direction is consistent: the model demonstrates that early diagnostics reduce the likelihood that high-risk patients progress to sepsis,” said Julien Textoris, PhD, vice president of EMEA medical affairs at bioMérieux.

“Preventing cases of sepsis could therefore reduce the risk of long-term complications after hospital discharge, including recurrent infections, cognitive decline, psychological effects, and organ-specific complications.”

Sepsis is a life-threatening reaction to an infection responsible for 21 million deaths worldwide each year. The initial hours of management are crucial, with targeted antibiotic treatment a key predictor of survival.

However, conventional methods for diagnosis takes at least a couple of days deliver results and nearly one in five bloodstream infection patients receive an inappropriate initial treatment.

In a model-based health economic analysis, Shaheer Hassan and co-workers at the OHE examined what would happen if fast ID/AST were systematically used early in the care pathway before clinical deterioration occurs.

The study encompassed Canada, France, Germany, Italy, Japan, the United Kingdom, and the U.S. and used expert-validated clinical inputs, country-specific cost data, and conservative assumptions.

Results revealed consistent cost savings regardless of the structure or financing of the healthcare system.

More than half of all savings—between 53% and 83%—would occur during the initial hospitalization, when the clinical and economic consequences of deterioration are most evident.

This is because early diagnostic information would prevent the chances of patients progressing into one of the most resource intensive stages of sepsis care.

The savings per patient ranged from €500 in Canada to €3,800 in Japan. This was primarily driven by fewer admissions to the intensive care unit, shorter hospital stays, and educed management of severe complications.

Annual national savings ranged from €26 million in Canada to €2.5 billion in the U.S. and reflected both cost savings in the acute phase and from reduced long-term complications.

“To realize these benefits, hospitals must address structural and workflow barriers so fast results translate into faster therapy, alongside broader system reforms to correct the persistent undervaluation of diagnostics,” the report maintained.

“Overcoming the underutilization and undervaluation of diagnostics will require coordinated system-level action, with the G7 countries included in this analysis well-positioned to lead.”

 

 

 

The post Sepsis Fast Diagnostics Could Save Lives and Billions in Costs appeared first on Inside Precision Medicine.

Effect of a nursing-based information–motivation–behavioral model on older patients with type 2 diabetes mellitus

BackgroundOlder patients with type 2 diabetes mellitus (T2DM) frequently encounter challenges, including a diminished capacity for self-management, a high prevalence of negative emotions, and cognitive decline and physiological changes attributable to long-term disease burden, leading to compromised glycemic control and impaired quality of life. Traditional diabetes nursing interventions often lack systematic strategies to address the psychological and cognitive needs specific to this patient population. The Information-Motivation-Behavioral Skills (IMB) model is a theoretical framework designed to promote health behavioral changes; however, research investigating its specific application in regulating psychological state and managing cognitive function in older patients with T2DM remains limited.AimTo investigate the effectiveness of a nursing intervention based on the IMB model in older patients with T2DM.MethodsData from 86 older patients with T2DM were divided into 2 groups: intervention (structured IMB model-based nursing + routine care [n = 43]); and control (conventional T2DM care [n = 43]). Psychological state (Self-Rating Anxiety and Depression Scales [SAS, SDS]), cognitive function (Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]), glycemic control (fasting blood glucose [FBG], 2 h postprandial blood glucose [2hPBG], and glycated hemoglobin A1c [HbA1c]), and satisfaction with nursing were compared between the 2 groups before and after a three-month intervention.ResultsSAS and SDS scores significantly decreased in both groups after intervention, with a more pronounced reduction in the intervention group (P < 0.05). MMSE and MoCA scores improved in both groups, with significantly higher scores in the intervention group (P < 0.05). Glycemic control (FBG, 2hPBG, and HbA1c) improved substantially in the intervention group (P < 0.05). Satisfaction with nursing among the intervention group (95.35%) was significantly greater than that in the control group (79.07%) (P < 0.05).ConclusionThe IMB model-based nursing intervention alleviates anxiety and depression, improves cognitive function, enhances glycemic control, and increases satisfaction with nursing in older patients with T2DM, thus meriting broader clinical implementation.

AACR 2026: David Parkinson and the Arc of Modern Cancer Therapy

SAN DIEGO, CA – In 1977, when David R. Parkinson, MD, graduated from medical school at the University of Toronto and moved to McGill University to train in internal medicine and eventually hematology, the idea of medical oncology was in its infancy. In Canada, the profession didn’t exist.

“In Canada, there were no medical oncologists,” Parkinson told Inside Precision Medicine. “Radiation therapists administered what little chemotherapy existed. They resisted the development of medical oncology as a specialty.”

David Parkinson - AACR
David R. Parkinson, MD, recipient of the 2026 AACR Outstanding Achievement Award for Service to Cancer Science and Medicine [The American Association for Cancer Research (AACR)]

Through the ensuing 49 years, Parkinson didn’t just see the rise of kinase inhibitors, antibodies, and cell therapies in real-time—he helped create the world of modern cancer therapeutics.

In reflecting on his remarkable career, which was recognized with the 2026 AACR Outstanding Achievement Award for Service to Cancer Science and Medicine, Parkinson said, “I’ve essentially grown alongside the field.”

From scarcity to structure: Oncology’s early years

When Parkinson arrived in Montreal, there were only a handful of chemotherapeutics available. “In those days, there were only one or two drugs available for hematologic malignancies across the entire field,” Parkinson said. “The main treatments were cyclophosphamide and nitrosoureas.”

Even supportive care lagged. “Initially, we had no effective way to control chemotherapy-induced nausea,” he noted of the standard of care for testicular cancer. “Some patients stopped treatment because they couldn’t tolerate it.”

Parkinson explained that early cancer drugs worked best on rapidly dividing tumors, like leukemias and testicular cancers, because that’s what the animal models represented. These therapies targeted DNA and cell division broadly, often with severe toxicity, and were far less effective against slower-growing solid tumors.

After his residency at McGill, Parkinson moved to Boston, first to Tufts New England Medical Center on a modest Canadian fellowship that placed him at the edge of a field just beginning to coalesce. “I was on a Canadian fellowship earning $12,000 a year,” he said. “The exchange rate fluctuated significantly, which made things difficult, and I couldn’t work due to my student visa.”

What he found, however, was momentum. Through connections with Dana-Farber, Parkinson entered formal training in medical oncology as the specialty began to take shape. “I connected with Dana-Farber and took their introductory course for fellows—that was my entry into medical oncology.”

At the same time, breakthroughs in specific cancers hinted at what might be possible. “What really shaped my thinking was the emergence of treatments for testicular cancer just as I entered oncology,” he said. “Platinum-based therapies—and later combination regimens—felt like miracles. We had never seen anything like it. These were often young patients, difficult to manage, but suddenly there were real cures.”

Targeted therapy and the Gleevec moment

Parkinson’s career soon intersected with early efforts to harness the immune system against cancer—decades before immunotherapy became a dominant paradigm. “I became deeply involved in immunotherapy, particularly interleukin-2 and early tumor-infiltrating lymphocyte studies,” he said.

Working at the National Cancer Institute (NCI), he collaborated with leaders, including immunotherapy pioneer Steven Rosenberg, MD, PhD, maintaining a hybrid role that combined research with clinical care. “At the same time, I continued clinical work for a couple of months each year, collaborating with Steve Rosenberg in the surgical branch.”

These early approaches were technically challenging and often unpredictable, but they laid the groundwork for later advances. “We started with basic approaches, moved to tumor-infiltrating lymphocytes, and eventually to engineered CAR T cells,” Parkinson said. “Progress has been steady, though often slower than those treating patients would like.”

If immunotherapy represented one trajectory, targeted therapy represented another—one that depended on a deeper understanding of cancer biology.

“When I joined Novartis in the late 1980s, we were among the first developing kinase inhibitors,” Parkinson said. At the time, the idea was controversial. “Early skepticism suggested kinase inhibitors wouldn’t work due to high intracellular ATP levels and structural challenges.”

But advances in molecular biology were beginning to change the landscape. The discovery of the Philadelphia chromosome and its associated oncogene created a clear therapeutic target. “The Philadelphia chromosome had been known since the 1960s, and by the 1980s the responsible gene was identified,” Parkinson explained.

The result was imatinib (Gleevec), a drug that would become a prototype for precision oncology. “Eventually, a small molecule inhibitor was developed that targeted it precisely.”

The clinical results were extraordinary. “By the third cohort in a Phase I trial, patients with chronic myelogenous leukemia showed dramatic responses—some within 24 hours,” Parkinson said. “It’s probably the only Phase I oncology trial where essentially every patient achieved remission.”

For Parkinson, the implications extended far beyond a single drug. “Of course, [Gleevec] was a unique case,” he said. “But it proved an important point: what once seemed impossible can become possible.”

Since then, the field has expanded dramatically. Hundreds of kinase inhibitors have been developed, with thousands more explored, reflecting a broader shift toward therapies grounded in specific molecular mechanisms.

Precision medicine—and its limits

As oncology evolved, so too did its language. “For years, we called it ‘personalized medicine,’” Parkinson said. “I used to joke that medicine has always been personalized—you’re always trying to determine what’s best for a specific patient in a specific context.”

He credits industry with popularizing a more precise term. “Although Pfizer popularized the term ‘precision medicine,’ I think it’s a better term,” he added, with a note of humor: “I have a few good Pfizer jokes—best shared over a drink.”

Yet the reality of precision medicine has proven more complex than its promise. “The evolution of therapeutics mirrored the models and biological understanding available,” Parkinson said. “Targeted therapies only emerged once we understood the biology. Diagnostics, however, lagged by about two decades.”

That lag remains a structural challenge. Parkinson founded a diagnostics company based on single-cell signaling technology developed at Stanford. “Technically, it worked—we solved major challenges in instrumentation, standardization, and analysis,” he said. “But we couldn’t establish a viable business model.”

The core issue was reimbursement. “Without adequate reimbursement from Medicare, even highly sophisticated diagnostics struggle commercially,” said Parkinson. “Better diagnostics can reduce the use of expensive drugs by identifying who won’t benefit—something that doesn’t always align with pharmaceutical business models.”

In recent years, Parkinson has focused increasingly on large-scale data integration, including his involvement with the GENIE consortium. The initiative aggregates genomic and clinical data across institutions, aiming to accelerate discovery and improve clinical decision-making. “GENIE has been a technical success,” he said. “But its long-term sustainability remains uncertain.”

The broader challenge, he argues, is conceptual as much as technical. “Looking forward, the field is evolving toward integrating multiple data types—genomics, transcriptomics, imaging, and more—to better understand tumor biology,” he said. “Sequencing alone isn’t enough. The challenge now is not a lack of data, but making sense of it—something where artificial intelligence will play an increasingly important role.”

Back to basics

Across academia, government, and industry—including roles at the NCI, Novartis, Amgen, and Biogen Idec—Parkinson sees a single throughline. “I remember an interview with a biotech company where an HR representative told me, ‘You seem to have done a lot of different things,’” he said. “I responded that I had really only done one thing: trying to improve cancer treatment, just from many different angles.”

Not every effort succeeded. “In one case, we developed a drug that performed beautifully in mice but failed in human trials,” he said. “That’s common in oncology—most ideas don’t translate. You don’t think of it as failure but as learning. Still, there’s a limit to how many ‘learnings’ one can appreciate.”

Reflecting on decades of progress, Parkinson emphasizes both how far the field has come and how much remains unresolved. “Outcomes have improved dramatically across several cancers, especially hematologic ones,” he said.

Yet he underscores a fundamental principle: that progress in cancer treatment comes down to understanding biology. “The better we understand it, the more effectively we can develop targeted therapies,” said Parkinson. “Without that understanding, we’re essentially guessing.”

At AACR 2026, Parkinson’s recognition underscores not just past achievements but a continuing trajectory—one shaped by the interplay of discovery, failure, and persistence. “Despite all the challenges,” he said, “[precision medicine] is still the most promising path forward.”

 

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