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Short explainers on prevention, with their sources.
- Prevention
Why a normal report isn’t the whole picture
A reference range describes a population on one day. Prevention needs your own direction of travel.
- Prevention
Why prevention has to be a loop
A wearable gives you data. A lab gives you a report. A clinic gives you a visit. None of them tells you if it worked.
- AI and privacy
Why your health AI should run on your phone
Cloud AI sends your data to outside servers. A small model on your device doesn’t have to.
- Ageing
What biological age is, and what it isn’t
A model’s estimate from blood markers. Useful as a direction, weak as a single number.
- Ageing
What organ age tells you
Parts of the body can age at different rates. Here’s how to read the estimate.
- Markers
What ApoB adds to LDL
LDL estimates cholesterol content. ApoB counts the particles that carry it.
- Markers
Lp(a): the test you may need once
Largely inherited, and lifestyle barely moves it.
- Indian bodies
Why Indian thresholds differ
Metabolic risk can appear at a lower body weight, so waist matters.
- Indian bodies
Early heart disease in Indians
First heart attacks come earlier, and known risk factors explain most of the gap.
- Markers
Vitamin D: is everyone really deficient?
The answer depends on the cut-off you choose.
- Markers
HbA1c: what the number means
A three-month view of your blood sugar, and why one reading is only a start.
- Markers
How to read your lipid profile
Total cholesterol, LDL, HDL, triglycerides and non-HDL, in plain words.
- Wearables
What your HRV is telling you
Heart rate variability from a ring or watch is a useful trend, read against your own normal.
Biology, made intelligent
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