Course Beginner-friendly

How biotech and longevity work

What a gene actually is, how we read and rewrite it, how a drug is proven (and why most that work in a mouse fail in people), and what aging really is — so you can tell a real biotech or longevity claim from a sales pitch.

What you'll be able to do

Explain the machinery of life — the cell, DNA's four-letter code, and how a gene becomes a protein.
Explain how we read and rewrite the genome, and why a drug's fit brings side effects.
Judge medical evidence — why a dish or mouse isn't a person, and how to read a risk number.
Explain why we age, and judge a longevity claim — healthspan from lifespan, mice from people.

Biotech is the most over-promised corner of science. Headlines swing between miracle cures and doom, and almost all of it skips the one question that matters: has it been proven in actual people? This course takes the lid off the machine — what a cell, a gene, and a protein really are, how we read and edit the genome, how a drug is tested, and what aging actually is. Not a hype reel and not a doom story: the biology and the evidence, with the caveats kept intact.

Module 1 — The code of life

The cell, a tiny factory

Explain that the body is made of cells, and a cell is a self-running factory.

DNA, the four-letter code

Explain that DNA is a four-letter code, the same in every cell, switched on differently.

From gene to protein

Explain the central dogma — gene to RNA to protein, the machines that do the work.

Module 2 — Reading it and rewriting it

Reading the genome

Explain what sequencing does, and why a risk gene shifts the odds, not your destiny.

Rewriting the genome

Explain gene editing as find-and-replace, and why most traits are far harder to edit.

Drugs as molecular keys

Explain how a drug fits a target like a key, and why that brings side effects.

Module 3 — Proving it works

A dish is not a mouse is not a person

Explain why a result in a dish or mouse usually doesn't carry over to people.

How a clinical trial works

Explain the clinical-trial pipeline, and why the control group is the whole point.

Reading the result

Explain relative versus absolute risk, sample size, and why correlation isn't cause.

Approved is not the end

Explain why effects too rare for a trial only surface once millions take a drug.

Module 4 — Aging and the longevity question

Why we age

Explain that aging is accumulated damage across systems, not one clock to switch off.

Lifespan versus healthspan

Explain lifespan versus healthspan, and why 'reverses aging in mice' rarely translates.

Capstone: reading a biotech or longevity claim

Decode a real-style biotech or longevity claim using the whole course.