Precision Health Alliance

Two patients can have the same HbA1c and still require opposite treatment strategies.

In this example, both individuals had an HbA1c of 8.2% and met the criteria for Type 2 Diabetes.

But their physiology suggested different dominant drivers.

The first individual had a lighter structure, lower growth-factor activity and a more catabolic stress response. His profile suggested lower insulin secretion and a greater likelihood of beta-cell dysfunction.

For him, aggressive calorie restriction could worsen muscle loss and metabolic decline. The strategy needed to focus on building lean tissue, providing adequate protein, allowing a moderate glycaemic load, supporting movement and protecting recovery.

The second individual had a larger frame, greater adiposity, higher insulin output and a more anabolic response to stress. His pattern was more consistent with insulin resistance: insulin was being produced, but the cells were not responding effectively.

For him, the priorities were different:

• Lower-glycaemic foods
• A strongly plant-based pattern
• Appropriate energy restriction
• Long, steady movement
• Reducing sedentary time
• Careful glucose management

Even exercise timing, preferred temperature and circadian tendencies differed between the two.

The diagnosis was the same, but the mechanism was not.

This is why treating Type 2 Diabetes with one standard protocol will inevitably create non-response.

Precision care starts with the marker, but it does not stop there. It identifies the biological reason the marker is elevated in that person.

Two people can experience the same job stress and have completely different physical responses.

In the example discussed, individuals were exposed to high job demands and low job control.

Those who began with a lower BMI were more likely to lose weight under these conditions, reflecting a more catabolic response to stress.

Those who began with a higher BMI were more likely to gain weight, reflecting a greater tendency toward energy storage and anabolic signalling.

This distinction matters because the visible outcome tells us something about how the individual is responding internally.

The person losing weight may be experiencing accelerated tissue breakdown, reduced appetite, poor recovery or difficulty maintaining muscle.

The person gaining weight may be experiencing increased cortisol, altered insulin signalling, fluid retention or greater central fat storage.

It would be inappropriate to give both people the same advice simply because both report workplace stress.

One may need more fuel and recovery.

The other may need a strategy focused on metabolic regulation, timing and reducing stress-driven storage.

The environment may be the same, but the body receiving that environment is different.

Precision health begins by asking not only what stress is present, but how this particular person expresses it.

The need for weight loss does not automatically determine the right treatment.

This case involved a 51-year-old man with a high-risk waist circumference, elevated body fat, central adiposity, persistent fatigue and sleep apnoea risk.

On the surface, there were clear reasons to consider GLP-1 therapy. Potential benefits included improved insulin sensitivity, cardiometabolic support and assistance with fat-loss resistance.

But the assessment also identified reasons for caution.

He already experienced abdominal fullness and bloating, which could potentially worsen with a medication that delays gastric emptying. He also reported morning sluggishness, a pronounced afternoon energy slump and difficulty gaining muscle despite resistance training.

Rapid weight loss may also require careful monitoring in someone with gout vulnerability because changes in uric acid can occur during significant weight reduction.

Another important factor was that he had recently begun using berberine and was already reporting digestive improvement and a positive fat-loss trajectory without intentionally restricting calories.

Adding another intervention immediately could therefore be unnecessary or even counterproductive.

The recommendation was to treat GLP-1 therapy as a low-to-moderate, second-line option. Continue the current approach, monitor progress over 8–12 weeks, and reassess if a genuine plateau develops.

This is precision decision-making.

It does not label GLP-1 medications as universally good or bad.

It asks whether the expected benefits outweigh the likely risks for this particular person, at this particular time.

Precision healthcare begins with understanding how people are different.

Over the past 22 years, a large body of individual-level data has been developed to understand variation across health, behaviour and treatment response.

The dataset now represents approximately three million human years, includes thousands of correlates per person, spans more than 140 countries and draws insights from 16 different scientific disciplines.

This depth matters because health does not operate in isolated categories.

Nutrition affects sleep.
Sleep affects hormones.
Hormones influence behaviour.
Behaviour changes stress.
Stress alters metabolism and treatment response.

A precision health assessment brings those relationships together. In around 20 minutes, it can begin constructing an individual health code—a detailed map of the person’s biological tendencies, functional patterns and likely responses.

Health types are then used as an educational tool. They help practitioners understand broad clusters of difference and learn why one group may respond differently from another.

But a health type is not the final answer.

Every individual has a more complex pattern that sits beneath the category.

The health code captures that nuance.

It helps move the practitioner from asking:

“What usually works for this type of person?”

to:

“What is most likely to work for this individual?”

That is the shift from personalised language to truly precise care.

High adherence does not always lead to weight loss.

This is an important distinction because people are often blamed when a diet fails.

Across nutrition and weight-loss studies, there is substantial non-response. Even when researchers examine the most compliant participants, the outcomes still vary dramatically.

In the same 12-month trial, some people lost approximately 30 kilograms, while others gained between 10 and 12 kilograms.

This variation occurred across both low-fat and low-carbohydrate approaches.

Some of the people who gained weight were highly adherent.

That means effort alone cannot explain the difference.

When a generic diet is prescribed, the assumption is that the same nutritional strategy will create a similar response across the group. But individual differences in metabolism, insulin response, hormones, genetics, stress physiology, gut function, sleep and energy expenditure can profoundly alter the result.

The average outcome may show that the diet “works.”

But the average hides the people who did not improve—or became worse.

This is why a failed diet should not automatically be interpreted as failed discipline.

Sometimes the person followed the plan.

The plan simply did not fit the person.

The same exercise program can produce completely different outcomes in different people.

Population-level research may show that aerobic training improves HbA1c or VO₂ max on average. But averages do not describe every individual response.

Some people experience substantial improvements.
Others show little or no change.
Some may even experience a decline in the very marker the program was designed to improve.

The transcript highlights significant variation in both diabetes-related markers and aerobic fitness.

With the same training frequency, intensity and duration, one person may improve their VO₂ max by 40–50%, while another may lose fitness.

When all of those results are combined, the average suggests that the program works.

But the average conceals the non-responders and negative responders.

This matters clinically.

If HbA1c is not improving, it does not automatically mean the client lacks discipline.

If aerobic fitness is not increasing, it does not necessarily mean they need more aerobic exercise.

The training stimulus may simply be mismatched to their physiology.

Precision exercise means measuring the response, identifying what the individual adapts to, and changing the program when the expected outcome is not occurring.

The goal is not to prescribe what works for the average person.

It is to discover what works for this person.

We need to think differently about the way disease is managed.

Most treatment pathways are built around population averages. They tell us which intervention is most likely to improve a marker across a large group of people.

That is useful but it does not guarantee that the individual patient will respond.

The transcript highlights two important examples.

A proportion of people prescribed statins may show inadequate response despite receiving the standard therapy. Likewise, some people with hypertension may not achieve a meaningful reduction in blood pressure even when medication adherence is ensured.

These are not rare academic exceptions. In common conditions affecting millions of people, even a modest non-response rate represents a very large number of patients.

This creates an important distinction:

Giving the recommended treatment is not the same as delivering an effective treatment.

When the expected response does not occur, the answer cannot simply be to assume poor compliance or continue following the same pathway indefinitely.

We need to ask why this person is not responding.

Is the dominant mechanism different?
Is the dose or medication mismatched?
Is another biological system driving the condition?
Are lifestyle, timing, genetics or comorbidities changing the response?

Population evidence should guide the starting point.

Precision care should determine what happens next.

There is no single protocol that can meet the needs of every woman. Women may present with the same symptom, yet the underlying cause can be entirely different. Fatigue, weight change, poor recovery, low mood or reduced performance cannot be understood from a symptom list alone. Blood tests and laboratory findings are important, but they do not tell the whole story. We also need to understand the woman’s phenotype, genetics, metabolism, behaviour, appetite, stress response, current health state and personal goals. This becomes especially important when discussing interventions such as GLP-1 medications.

Appetite suppression may reduce food intake and support weight loss for some people. However, if hunger becomes so low that a woman forgets to eat or cannot consume enough food, this may create a different problem—particularly if she needs adequate nutrition for muscle, energy, recovery or performance. The intervention cannot be judged in isolation. It must be judged in relation to the person receiving it. One woman may want to return to sport. Another may want to reduce body weight. Another may want to restore her energy and cognitive performance at work. Each goal changes the strategy. Precision women’s health starts by identifying who the woman is, what is driving the problem, and what outcome matters to her. Only then can the most appropriate solution be developed.

A weight-loss plateau is not always evidence that someone needs to try harder. This case involved a 50-year-old woman in the menopausal transition who had reduced her intake to approximately 1,200 calories per day. Despite her discipline, her weight had stopped changing. She was gaining some muscle, but her energy levels were extremely low. The precision assessment suggested that the plateau was a protective physiological response rather than a failure of compliance. Her Diplomat-type physiology was associated with a disproportionate cortisol response to calorie restriction, a larger reduction in metabolic rate and greater vulnerability to functional thyroid downregulation. She was also consuming too little carbohydrate to adequately support the conversion of thyroid hormones. In practical terms, her metabolism had slowed while stress signalling had increased. The strategy was not further restriction. Her intake was gradually increased by approximately 150–200 calories per week, with the goal of reaching 1,800–2,200 calories. Carbohydrate intake was increased initially, protein was adjusted, and iodine and selenium support were considered as part of the overall plan. The result was a 12 kg weight loss while eating around 1,800 calories per day. Her energy improved in the first month, thyroid function improved and she ultimately reached her target weight. This case is a reminder that the body may resist fat loss when it perceives ongoing scarcity and stress.Sometimes the solution is not less food. It is enough of the right food to restore safety, energy and metabolic function.

Partners are often told to be supportive, but rarely shown what support should actually look like. During periods of severe hormonal and emotional dysregulation, a woman may feel despair, withdrawal, heightened stress and decision fatigue. Her partner may respond by asking more questions, trying to talk through the problem or attempting to fix it. For some women, that can increase the load. A precision partner guide offers a different approach based on the individual. For this woman, quiet presence was more helpful than extensive verbal processing. Being nearby without demanding conversation reduced pressure and created safety. Calm physical contact—such as holding her hand or offering firm, reassuring pressure—could help create a sense of connection and regulation. Her environment mattered too. Clutter, bright lights and noise increased distress, so clearing the resting space and lowering stimulation became part of the support strategy. Decision fatigue also needed to be considered. Instead of asking, “What do you want to eat? ” her partner could say, “Dinner will be ready soon.” Instead of asking, “What can I do?” he could say, “I’m going to handle this so you don’t have to.” This is not about taking away autonomy. It is about temporarily reducing cognitive and emotional demand when the system is overloaded. Sometimes the most helpful response is not to fix anything. Reduce the noise. Clear the clutter. Stay close. Make the decisions. Let the storm pass.