Preventive medicine has traditionally been very good at telling us where someone stands at a particular moment. I believe the next opportunity is understanding where their health may be heading.
I have spent much of my career working in advanced biomedical imaging, and I remain a strong believer in its power. But imaging has also taught me the importance of context. A scan can tell us a great deal, but it still represents a moment in time.
The human body is dynamic. Risk evolves. Physiology changes. The more we can understand those changes, not only across different sources of health information but also over time, the greater our opportunity to recognize when something may be moving in the wrong direction.
That perspective is one of the things that drew me to Radence. I saw a shared commitment to moving beyond standardized approaches toward a more personalized model of preventive care that is designed to understand the person in front of us, establish a meaningful picture of their health, and identify opportunities to act earlier.
Continuous Health Monitoring Is Changing the Picture
For much of modern medicine, we have relied on episodic measurements.
A patient comes into a clinic. We measure blood pressure. We order laboratory work. Perhaps we perform imaging. Those measurements provide valuable information, but they represent particular moments in time.
The body does not operate that way. Our physiology changes in response to sleep, exercise, food, stress, illness, and recovery. Understanding those changes over time can reveal something a snapshot cannot: a trajectory. Wearable and continuous monitoring technologies are beginning to give us that longitudinal view.
Radence incorporates this perspective into its testing protocols. Zio cardiac monitoring can provide insight into heart rhythm over time, WatchPAT assesses sleep for signs of sleep apnea, and Stelo provides continuous glucose data. Rather than providing only another measurement, these technologies can show patterns.
Continuous glucose monitoring is particularly interesting for this reason. Instead of seeing glucose at one moment, we can observe how it changes throughout the day.
And this may be just the beginning. Future sensors may allow us to monitor other signals in similar ways. Consider inflammation. Today, we might measure a biomarker such as high-sensitivity C-reactive protein in the blood. But what if we could understand an individual’s inflammatory profile throughout the day and see how it changes in relation to stress, food, activity, or disease?
More measurement, of course, creates another challenge: more information.
In some of our research, we may collect more than a million data points on a single individual. But the goal isn’t a million data points. The goal is discovering which thousand matter. That distinction is critical. The future of preventive medicine will be defined by our ability to identify the right signals and understand what they mean.
That is where artificial intelligence becomes especially interesting.
How AI Can Help Connect the Signals
I believe one of the most important opportunities for AI in preventive medicine is helping us understand change. I have already seen the need for this in my own field.
As imaging technology became more sophisticated, we produced more information, but radiologists also found themselves confronted with thousands of images to interpret. Our ability to generate information advanced faster than our ability to efficiently absorb all of it.
We are approaching a similar challenge across healthcare. As the amount of information available about an individual grows, AI can help clinicians recognize patterns and identify deviations that might otherwise be difficult to see. That begins to change the clinical question.
Instead of waiting to ask, “Does this person have disease?” we may increasingly be able to ask, “Is something changing, and is that change moving this person toward greater risk?”
That distinction is fundamental to prevention.
At Radence, this is an important part of how we think about AI. Its value is not simply that it can process more information. Its value is whether it helps clinicians identify what deserves attention earlier and make better-informed decisions.
AI does not replace clinical judgment. It helps manage complexity. The clinician still has to determine what the information means for the person in front of them and what to do about it.
Earlier Detection Requires Context
Finding something earlier is not always better.
It only helps if there is an effective treatment and starting it sooner improves the outcome. When healthy people are tested for rare conditions, many abnormal results will turn out to be false alarms. It is often more useful to compare a person’s results with their own past results, rather than only with the normal range for the general population.
Measurements taken years apart can show whether something is changing or has remained stable. A finding that has not changed in four years means something very different from the same finding seen for the first time. Good screening therefore depends not only on more testing, but also on time and access to earlier records.
From Fragmented Medical Data to a Clearer Health Story
Health information is often fragmented. A person may have years of records distributed across different physicians and health systems, with imaging in one place, laboratory results in another, and newer measurements somewhere else entirely.
At Radence, the clinical team considers a member’s existing medical history and outside records alongside findings generated through the program, with AI helping synthesize information that might otherwise remain disconnected. That history can provide important context for understanding whether a finding is new, stable, or changing. But bringing information together is only useful if it creates clarity.
What deserves attention? What should be followed? And where is there an opportunity to act earlier? Those are ultimately the questions that matter.
Turning Health Information into Action
Ultimately, measurement is not the endpoint. What matters is whether information changes what we do.
I have experienced this personally with sleep. I used to be a poor sleeper and did not fully appreciate its importance. Once I began measuring it and seeing the numbers, something changed. I could see the relationship between my behavior and my sleep. That information gave me something I could act on.
That experience reinforced something simple for me: data becomes valuable when it changes a decision.
Sleep is a relatively straightforward example. Much of medicine is not. An imaging finding or a changing biomarker may require clinical context and expertise. Giving someone hundreds of numbers in a report is not the same as giving them useful insight.
We are becoming capable of measuring the human body in extraordinary detail. The challenge now is to distill that information, determine what matters for a particular person, and translate it into decisions that can influence their health.
This is also what interested me about the approach at Radence. The objective is not simply to give members more information. It is to give clinicians and members greater clarity about what deserves attention and what should happen next.
The Future of Preventive Medicine
I believe we are moving toward a model of medicine that is more continuous, more personalized, and ultimately more proactive.
We will still need snapshots. We will still need population-level evidence. But increasingly, we will also have the ability to understand an individual over time, recognizing when their trajectory begins to change and determining whether there is an opportunity to intervene.
AI will be an important part of making that possible, but the technology itself is not the destination. The goal is better information, interpreted in context, that helps clinicians and individuals make better decisions.
The future of preventive medicine lies in recognizing risk early enough to create an opportunity to change what happens next.
Disclosure: Dr. Zahi A. Fayad serves on the Radence Clinical Advisory Board and holds stock options in the company.
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