From Reactive to Proactive: Reimagining Hypertension Management in the Precision Medicine Era
According to the World Health Organization, an estimated 1.4 billion adults aged 30–79 worldwide had hypertension in 2024, representing around one-third of the global population of that age. Of these, 44% were unaware that they were living with a leading risk factor for premature death and poor health worldwide due to its association with myocardial infarction, stroke, and kidney disease.
Despite the size of the hypertension problem, its diagnosis and treatment pathway has remained largely the same for decades.
A 60-year-old pathway
“The current pathway in hypertension diagnosis and treatment has really not changed in over 60 years,” said Sandosh Padmanabhan, MD, PhD, chair of pharmacogenomics and professor of cardiovascular genomics and therapeutics at the University of Glasgow in Scotland.
He explained that it is based on opportunistic detection of hypertension, which has traditionally been defined as a blood pressure (BP) of 140/90 mmHg in the clinic, although thresholds vary by measurement method and guideline. For example, out-of-office measures typically use lower cut-points (e.g., home/daytime ambulatory averages) of 135/85 mmHg.

Professor
University of Glasgow
Diagnosis typically occurs when a patient visits their primary care physician (PCP) or has a pharmacy BP check. Confirmation follows, ideally with out-of-office BP monitoring to avoid misclassification caused by one-off measurements.
Patients are then stratified by predicted 10-year cardiovascular risk, using risk calculators such as Q-risk or the PREVENT score, and treatment is based on a stepwise algorithm. First, patients are generally given lifestyle advice like reducing salt, alcohol, and caffeine intake, improving sleep, managing stress, and increasing exercise. This may give them a chance to reduce their BP without pharmacologic intervention.
If unsuccessful, depending on local guidelines, patients may be offered an angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker if under 55 years of age. Those over 55 years or of Black African or Caribbean origin are started on a calcium channel blocker. The next steps combine ACE inhibitors and calcium channel blockers, then add a thiazide-like diuretic, followed by spironolactone or other drugs.
However, this approach uses “a population-level logic,” said Padmanabhan. Although age and ethnicity are considered, “these are broad demographic proxies that don’t include any understanding of the individuals’ underlying pathophysiology or the genetic makeup.”
He stresses that, on a public health basis, the system works. There are multiple effective, low-cost antihypertensive drug classes and many generic options available that effectively lower BP. Despite this, control rates are poor. “Fewer than one in four hypertensive adults globally have their BP adequately controlled,” he said.
The measurement problem
Part of the issue lies in how BP is measured. “To give you an idea about the scale of inertia, we diagnose BP using a device that was introduced in the late 19th century,” Padmanabhan noted, referring to the sphygmomanometer invented by Scipione Riva-Rocci in 1896. Not only that, the technique can also be flawed. Variables such as incorrect cuff size, improper positioning, and patient movement can distort readings. Even talking during measurement can increase BP values by 5–9 mmHg or even higher.
Crucially, a single measurement provides little insight into cumulative lifetime exposure to high BP and can be skewed by issues like white coat hypertension or masked hypertension. “We look at the BP number, but the patients don’t experience that number. What they experience is a lifelong vascular risk,” Padmanabhan explained. “Treatment is not about a short-term reduction in a number. It’s about long-term sustained risk reduction.”
Yet the current system remains reactive and is not working well enough. “We have to move away from reactive diagnosis to proactive identification,” Padmanabhan said. “The earlier we measure accurately and respond systematically, the fewer surprises we’ll see later.”
Continuous monitoring
The pitfalls of opportunistic, or even planned, BP measurement are driving the emergence of new technologies capable of continuous monitoring.

CTO and Co-founder
Aktiia
Josep Solà, PhD, began working on optical sensing technology in 2004 at the Centre for Electronics and Microtechnology in Switzerland. By analyzing subtle changes in reflected light caused by arterial dilation, it became clear that BP could be measured using these light signals. In 2018, this research was spun out into Aktiia, where Solà is CTO and co-founder. The company has developed and commercialized the Hilo
band: a CE-certified wearable medical device designed for continuous, cuffless, BP monitoring that has been clinically validated against traditional ambulatory BP monitoring.
The band tracks BP and heart rate automatically, about 25 times per day, without requiring any action from users. Paired with an app, the device shows users daily, nightly, and long-term BP trends. It is currently available as a certified medical device across Europe, Australia, and Canada, and, following FDA approval in July 2025, the company is preparing for a U.S. launch.
Solà said he and co-founder Mattia Bertschi, PhD, were convinced they could change how hypertension is being managed today. He believes there is no good reason why most people with hypertension cannot control the condition. The medication is cheap and effective; the problem is that there has been no technology that patients can use to properly manage their condition.
“No one wants to use a cuff every day for the next 30 years,” said Solà. “They’re just so inconvenient, and you cannot expect people to proactively measure something they don’t feel.”
The Hilo band gives wearers a feedback loop that has historically been missing from BP measurement. Users can immediately see that reducing their salt or alcohol intake, for example, lowers their BP. “We are empowering people,” said Solà. “We are empowering them to look at the intervention, or combination of interventions, with or without medication, to see what is effective for them, and this reinforces their willingness to continue with the changes they are making.”

Data published by Aktiia has shown that this approach works. A study of 8,950 U.K.-based Hilo users indicated that individuals who monitored their BP continuously showed better control over time. Specifically, users over 50 years of age appeared able to prevent the age-related rise in systolic BP typically seen in the general population, which the researchers say “may reflect greater awareness, stronger treatment adherence, and lifestyle changes prompted by continuous feedback.”
Wearables at scale: Opportunity and caution
Beyond dedicated monitoring devices like the Hilo band, smartwatches and other devices are increasingly capable of detecting physiological signals associated with cardiovascular risk. The Apple Watch can detect potential signs of chronic hypertension by analyzing heart rate sensor data over 30-day periods, the Huawei Watch D provides on-demand and 24-hour ambulatory BP monitoring using an air-filled strap, while the team behind the Oura ring is developing a “Blood Pressure Profile” feature to detect early signs of hypertension.
Although this represents a significant step toward embedding cardiovascular monitoring into everyday life, the increasing use of these devices raises important questions about accuracy, interpretation, and clinical integration, particularly as they often rely on indirect signals rather than direct BP measurement.

Researcher
University of Utah
As Adam Bress, PharmD, from the Spencer Fox Eccles School of Medicine at the University of Utah, and colleagues have recently shown, translating wearable-derived signals into meaningful clinical information is not straightforward.
They evaluated the hypertension alert feature of the Apple Watch, which has a published sensitivity of 41% and specificity of 92%, meaning that approximately 59% of individuals with undiagnosed hypertension would not receive an alert, while about eight percent of those without hypertension would receive a false alert.
“The problem there, is that this data only tells you how the alert works in a very controlled, limited population,” said Bress. “In order to understand how it’s going to work in the real world, we need to know how the true prevalence of undiagnosed hypertension varies in the population and in subgroups and to what degree.”
Using data from nearly 4,000 adults in the U.S., Bress and colleagues showed that the pretest probability of having hypertension has a significant impact on the reliability of the alert. For example, among adults under 30 years of age, the pretest probability of having hypertension is 14%. A positive alert on the Apple Watch would increase this probability to 47%, whereas no alert reduces the probability to 10%.
However, for adults aged 60 years and older, an alert increases the probability of an individual having hypertension from a pretest level of 45% to 81%, whereas the absence of an alert only lowers it to 34%. This translates to large numbers of false negatives when applied across millions of users.
In Apple’s validation study, the company stresses that the watch is not intended to replace traditional diagnosis methods or to be used as a method of BP surveillance, and that the absence of a notification does not indicate the absence of hypertension.
“The concern is, if you’re not getting an alert, will people interpret that as them not having hypertension,” said Bress. “That’s the worry. … The groups in which the negative alert is the least trustworthy contain the people with the highest risk. We’re most worried about people being falsely reassured.”
At the same time, he is clear that wearables should not be dismissed. “This technology is an important step forward; we need more wearable tech that can screen,” he said.
Unfortunately, access to these devices is not universal. Advanced monitoring technologies are often first adopted by the “worried well”—people who are more affluent and health-conscious—rather than those at highest risk.
“The only thing that can change this is a clear political decision to make awareness of hypertension large scale,” said Solà. Devices like the Hilo band could be used much like the continuous glucose monitors for diabetes. The difference is that if someone with diabetes doesn’t keep their blood glucose levels under control through regular monitoring, they can become ill very quickly. With hypertension, the effects of poor control don’t become apparent for decades.
“We need the policymakers to understand that investing in this technology today will have a return on investment in 10 years from now, not in one year from now,” Solà remarked.
Targeted drug selection
Even when hypertension is detected early and monitored closely, treatment remains largely empirical and can lead to therapeutic inertia, one of the biggest current challenges in hypertension care. “BP is not like diabetes, it doesn’t cause symptoms, and because of that, we don’t escalate treatment often enough,” said Padmanabhan.
At the same time, treatment selection remains largely trial-and-error. Clinicians cycle through medications sequentially, adjusting regimens based on response rather than underlying biology. The issue is that failed attempts risk side effects and can erode trust. That lack of trust can then impact adherence and, therefore, cardiovascular risk.
Instead, Padmanabhan believes that we need to move toward mechanistically informed drug selection.
This approach is common in oncology, where targeted therapies have been matched to specific mutations, but the picture is more complex for BP. Genome-wide association studies (GWAS) have identified more than 30 genes associated with monogenic forms of hypertension or hypotension and more than 2,100 single nucleotide polymorphisms linked to BP regulation, underscoring its highly polygenic nature.
This, combined with the strong influence of environmental factors, means that there is no single pathway or biomarker that can be easily targeted to reduce BP.
Padmanabhan’s work on the uromodulin gene (UMOD), however, shows that GWAS data can translate into therapy. His team identified a signal on chromosome 16 linked to uromodulin, a protein that is only expressed in one part of the kidney and plays a role in salt regulation. In a clinical trial comparing people with low BP to those with high BP, they found that people with the UMOD allele that increases protein expression experienced a sustained reduction in BP when treated with the loop diuretic torasemide, whereas the effect was only temporary and followed by rebound in those carrying the UMOD allele that lowers protein expression.
Approximately two-thirds of the population carry the UMOD allele that increases protein expression, meaning that loop diuretics like furosemide or torasemide, which are more commonly used to treat heart failure, could potentially be used in hypertension personalized by the patient’s genotype.
So far, “this is the only clinical trial from a GWAS-identified genetic variant in hypertension,” Padmanabhan noted, highlighting both the promise and challenge of pharmacogenomics in hypertension.
Although clinical translation from GWAS of hypertension has been limited, research has shown that genetic variation in drug-metabolizing enzymes can significantly impact hypertension treatment efficacy and toxicity. For example, variants of CYP2D6 affect metoprolol metabolism whereas those in CYP2C9 influence responses to losartan. Research is needed to determine whether testing for these variants or others could reduce trial-and-error prescription, minimize side effects, and thus increase patient confidence and long-term engagement.

Director
MIAL Healthcare
On a more fundamental level, biological sex differences remain a significant consideration in cardiovascular medicine. “Biological factors are an integral part of the clinical picture,” noted Teresa Castiello, MD, consultant cardiologist and director of MIAL Healthcare in London. She points out that clinical trials have historically seen a predominance of male participants; as a result, many standard medication dosages are based on data primarily derived from men.
This can lead to challenges with tolerability and a higher incidence of side effects in women as the therapeutic dose required for efficacy often tends to be lower in female patients.
Castiello suggests that this area of management warrants further refinement in clinical practice. She also emphasizes that key aspects of female cardiovascular risk, including reproductive history, menopause, and conditions like polycystic ovary syndrome, are nuances that may not always receive the necessary focus in routine care.
Toward a precise, preventative system
Ultimately, transforming hypertension care will require more than new technologies or therapies. It will require a fundamental change in how care is delivered.
Padmanabhan argues that hypertension should be managed through a “precision prevention service,” that integrates early detection, continuous monitoring, and personalized treatment, and involves more than just PCPs.
This approach recognizes that the disease is not just a clinical condition but a societal one, influenced by factors such as diet, socioeconomic status, work patterns, and access to care. Equity remains another critical issue. “We treat the ideal average patient under ideal circumstances but that’s not reality,” said Padmanabhan.
There also needs to be a cultural shift, said Castiello. “It’s not just the doctor’s responsibility; we also need to take responsibility for our own health.”
Solà shares a similar vision for the future: he would like to see BP measurement to become as routine as brushing your teeth, supported by technologies that empower individuals and reduce the burden on healthcare systems.
If realized, this shift could transform hypertension from a silent, progressive disease into a manageable, preventable condition, saving millions of lives in the process.
Laura Cowen is a freelance medical journalist who has been covering healthcare news for over 10 years. Her main specialties are oncology and diabetes, but she has written about subjects ranging from cardiology to ophthalmology and is particularly interested in infectious diseases and public health.
The post From Reactive to Proactive: Reimagining Hypertension Management in the Precision Medicine Era appeared first on Inside Precision Medicine.
Humber trust receives NHSE funding to lead on NHS App features
The Download: AI’s impact on jobs, and data centres in space
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
The one piece of data that could actually shed light on your job and AI
Within Silicon Valley’s orbit, an AI-fueled jobs apocalypse is spoken about as a given. Now even economists who have downplayed the threat are coming around to the idea.
Alex Imas, based at the University of Chicago, is one of them. He believes that any plan to address AI’s impact will depend on collecting one vital piece of data: price elasticity.
Imas argues that “we need a Manhattan Project” for this. Read the full story to find out why.
—James O’Donnell
This article is from The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.
Four things we’d need to put data centers in space
In January, Elon Musk’s SpaceX applied to launch up to 1 million data centers into Earth’s orbit. The goal? To fully unleash the potential of AI—without triggering an environmental crisis on Earth.
SpaceX is among a growing list of tech firms pursuing orbital computing infrastructure. But can their plans really work? Here are four must-haves for making space-based data centers a reality.
—Tereza Pultarova
This story is part of MIT Technology Review Explains, our series untangling the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Trump has again proposed major cuts to US science and tech spending
He wants to slash nearly every science-focused agency. (Ars Technica)
+ If Trump gets his way, the US could face a costly brain drain. (NYT $)
+ Top research talent is already fleeing the country. (Guardian)
+ Basic science deserves our boldest investment. (MIT Technology Review)
2 Sam Altman lobbied against AI regulations he publicly welcomed
A bombshell report reveals many OpenAI insiders don’t trust him. (The New Yorker $)
+ Some have called him a sociopath. (Futurism)
+ OpenAI’s CFO fears it won’t be IPO-ready this year. (The Information $)
+ A war over AI regulation is brewing in the US. (MIT Technology Review)
3 NASA’s Artemis II has broken humanity’s all-time distance record
The astronauts have flown farther than any humans before them. (BBC)
+ Their mission includes MIT-developed technology. (Axios)
4 Chinese tech firms are selling intel “exposing” US forces
It comes from combining AI with open-source data.. (WP $)
+ AI is turning the Iran conflict into theater. (MIT Technology Review)
5 War is pushing countries to ditch hyperscalers
Driven by Iran naming tech giants as military targets. (Rest of World)
+ No one wants a data center in their backyard. (MIT Technology Review)
6 OpenAI, Anthropic, and Google have united against China’s AI copying
They’re sharing information on “adversarial distillation” (Bloomberg $)
7 Anduril and Impulse Space are working on Trump’s “Golden Dome”
They’re developing space-based missile tracking for the project. (Gizmodo)
8 OpenAI has urged California to probe Elon Musk’s “anti-competitive behavior.”
It accuses Musk of trying to “take control of the future of AGI.” (Reuters $)
+ And claims he coordinated attacks with Mark Zuckerberg. (CNBC)
+ A former Tesla president has revealed how he survived working for Musk. (WP $)
9 DeepSeek’s new AI model will run on Huawei chips
It’s expected to launch in the next few weeks. (The Information $)
10 Memes have nuked our culture
Internet “brain rot” has escaped our phones to take over everything. (NYT $)
Quote of the day
“I must say, it was actually quite nice.”
—Astronaut Victor Glover tells President Donald Trump what it was like when Artemis II was out of communication with the rest of humanity, The New York Times reports.
One More Thing
Inside the controversial tree farms powering Apple’s carbon-neutral goal
In 2020, Apple set a goal to become net zero by the end of the decade. To hit that target, the company is offsetting its emissions by planting millions of eucalyptus trees in Brazil.
Apple is betting that the strategy will lead to a greener future. But critics warn that the industrial tree farms will do more harm than good.
Find out why the plans have sparked a backlash.
—Gregory Barber
We can still have nice things
A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)
+ Japan’s automated bike garage is a cyclist’s dream come true.
+ This deep dive into bird behavior reveals the secrets of their dining habits. (Big thanks to reader Terry Gordon for the find!)
+ The first photo from the Artemis astronauts vividly captures the glow of our atmosphere.
+ There’s a new contender for the world’s most gorgeous website: RobertDeNiro.com.
Royal Surrey NHS Foundation Trust deploys ophthalmology EPR
STAT+: Biotech investors’ plea to Trump, and a busy M&A week
Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox.
The Trump administration is using newly announced 100% tariffs as leverage to push both large and small drugmakers into confidential pricing and manufacturing agreements.
Also, the burgeoning peptide craze is highlighting a trust gap in medicine, in which patients increasingly favor unproven treatments over well-established drugs.
Opinion: My patient would rather take a peptide than a statin. That reveals an uncomfortable truth in medicine
A patient came to my office recently and told me she had stopped her statin. She’d been on it for two years. Her coronary artery calcium score was 280 and LDL was 168, up almost 100 points since she had stopped taking her statin. Her father had died from a heart attack at 58.
When I asked about the decision, she crossed her arms and furrowed her brow.
Orchestrating the Development of a Sustainable Network IT Solution for a Research Network: Qualitative Participatory Multimethod Design
Background: Practice-based research networks (PBRNs) rely on sustainable and interoperable IT infrastructures to support coordination, data management, and long-term collaboration across geographically distributed primary care practices. Large federated initiatives, such as the German DESAM-ForNet (Initiative of German Practice-Based Research Networks) program, face substantial sociotechnical challenges, as diverse user groups, heterogeneous local systems, and multiple governance levels must align around shared digital solutions. Objective: The aim of this study was to design and evaluate a participatory, consensus-driven process for developing a sustainable and interoperable IT solution that supports the coordination of multiple regional PBRNs, and to identify the sociotechnical factors that influence how such a process unfolds. Methods: A qualitative participatory multimethod design combined an iterative consensus-based IT development process in a central working group, interdisciplinary domain-driven design workshops (N=40 stakeholders from 6 PBRNs), and qualitative content analysis of internal documents (2020‐2025). Members of the IT working group were nominated by networks based on IT responsibility and strategic involvement; workshop participants represented general practitioners, study nurses, researchers, and coordinators. Documents (meeting minutes, workshop artifacts, and decision logs) were coded inductively by 2 authors to trace sociotechnical dynamics and decision trajectories. Results: The analysis revealed pronounced differences in IT ambitions, resources, and established practices across the 6 PBRNs (ranging from 2 to 90 person-months), which resulted in divergent expectations and uneven readiness for joint development. This heterogeneity—spanning objectives from simple REDCap (Research Electronic Data Capture; Vanderbilt University) databases to comprehensive digitization strategies—necessitated network-specific bounded contexts within a federated architecture. Through iterative development, stakeholders reached consensus on 6 core use cases (base data management, screening or recruitment processes, study or event participation tracking, management of event participation, accreditation procedures, and standardized communication or data exchange) and 2 national proofs-of-concept: quarterly key performance indicator reporting and pseudonymized practice queries based on a shared core dataset. This collaborative process culminated in a 3-tier practice relationship management infrastructure that integrates local autonomy with central metadata management and connectors to the Medical Informatics Initiative and REDCap, and was endorsed by the steering committee as a scalable compromise balancing interoperability and data sovereignty. Conclusions: The study shows that developing a national, interoperable IT infrastructure for PBRNs depends as much on social and organizational alignment as it does on technical solutions. Iterative participatory collaboration, transparent governance, and early stakeholder engagement were essential for building shared understanding and trust. Strengthening these relational and organizational elements will be crucial for sustaining future implementation efforts and fully realizing the potential of federated data infrastructures in primary care research.
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AI Chatbots for Mental Health Self-Management: Lived Experience–Centered Qualitative Study
Background: Large language models (LLMs) now enable chatbots to engage in sensitive mental health conversations, including depression self-management. Yet their rapid deployment often overlooks how well these tools align with the priorities of people with lived experiences, which can introduce harms such as inaccurate information, lack of empathy, or inadequate crisis support. Objective: This study explores how people with lived experience of depression experience an LLM-based mental health chatbot in self-management contexts, and what perceived benefits, limitations, and concerns inform harm-mitigating design implications. Methods: We developed a technology probe (a GPT-4o–based chatbot named Zenny) designed to simulate depression self-management scenarios grounded in prior research. We conducted interviews with 17 individuals with lived experiences of depression, who interacted with Zenny during the session. We applied qualitative content analysis to interview transcripts, notes, and chat logs using sensitizing concepts related to values and harms. Results: We identified 3 themes shaping participants’ evaluations: (1) informational accuracy and applicability, including concerns about incorrect or misleading information, vagueness, and fit with personal constraints; (2) emotional support vs need for human connection, including validation and a judgment-free space alongside perceived limits of machine empathy; and (3) a personalization-privacy dilemma, where participants wanted more tailored guidance while withholding sensitive information and using privacy-preserving tactics. Conclusions: People with lived experience of depression evaluated LLM-based mental health chatbots through intertwined priorities of actionable information, emotional validation with clear limits, and personalization that does not require unsafe data disclosure. These findings suggest concrete design strategies to mitigate harms and support LLM-based tools as complements to, rather than replacements for, human support and recovery.
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