Most nutrition advice given in India is calibrated against Western cohorts: different lipid risk, different metabolic thresholds, different baseline deficiencies. Alpha Human starts from South Asian reference data and from your own.
10 years
earlier onset of heart attacks than in people of European descent
About one in four Indians carries elevated lipoprotein(a), a largely inherited risk factor that a standard lipid panel does not measure at all. We test it once, because it is set by your genes and will not meaningfully change.
MeasuredLp(a) · ApoB · small dense LDL · triglycerides · HDL
11.4%
of Indian adults are living with diabetes; another 15.3% are prediabetic
Insulin resistance appears at lower body weights in South Asian bodies than the standard thresholds anticipate. A BMI that reads as healthy can sit on top of a metabolic picture that is not.
MeasuredHbA1c · glucose · insulin · HOMA-IR · blood pressure
The norm
rather than the exception: deficiency across common micronutrients
Vitamin D, B12 and iron deficiencies are widespread enough in Indian cohorts that treating them as edge cases produces protocols built on an assumption that is usually wrong.
MeasuredVitamin D · B12 · ferritin · folate · homocysteine
Visceral
fat distribution at lower total body weight
South Asian bodies tend to store fat viscerally rather than subcutaneously at a given weight, which is why body composition matters more here than the number on a scale.
MeasuredWaist-to-height · body composition · inflammatory markers
Any one of these on its own produces a generic answer. The protocol comes from the intersection: what is fixed, what is true today, and what changed this week.
Genome
Whole-genome sequencing, read once. It tells us what is fixed: how you metabolise fats and caffeine, your inherited lipid risk, how you handle micronutrients. This is the layer that does not change, and it is why two people on the same plan get different results.
Blood
A 110-marker panel, repeated. It tells us what is true right now, and what moved since the last one. The genome sets the terrain; the panel says where on it you currently are.
Wearable
Continuous glucose and sleep data. It fills the gap between panels: the daily variation that a quarterly blood test cannot see, and that a protocol has to respond to.
A protocol built from one snapshot is a hypothesis. Re-testing is what turns it into a finding, and what lets the next protocol be built from evidence rather than from the same assumptions.
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