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Building Personal Digital Twins for Health Optimisation and Drug Simulation

1•Melissa_bime•9mo ago
Hi HN,

We’re working on BioReplica, a platform that lets you create a digital replica of your own biology, based on your DNA, medical records, wearable data, and physiological metrics. Why? Right now, if you want to know how a supplement, diet, or exercise protocol will affect you, you usually have to experiment on yourself and hope for the best. No two bodies respond the same way, but personalization is still mostly guesswork. BioReplica is an early attempt to change that. We build a personal biological model, a simulation that lets you test "what if?" scenarios safely before trying them in real life.

Examples:

"If I start taking NMN, will my inflammation markers likely improve or worsen?"

"Would intermittent fasting affect my heart health risk, based on my baseline data?"

"Is this new nootropic likely to interact badly with my genetics or medications?"

Instead of generic advice, you can start seeing predictions based on you, your genome, your health history, your day-to-day physiology.

We’re very early. Right now the simulations are basic, focused mainly on lifestyle and supplement interventions. But over time, the idea is to make it richer, more data inputs, better modeling, higher accuracy.

Caveats:

Biology is still messy, and simulations are probabilistic, not certainties.

The platform isn't diagnostic or a substitute for real medicine (and shouldn’t be).

Getting the modeling right is hard, and we’re very upfront about that. The long term goal is for these replica's to be used for pharma simulations. In clinical trials today, most failures happen late, billions spent, and sometimes only then do we learn that a drug doesn’t work or has hidden risks.

Still, we believe even imperfect simulations, if used carefully, can help people make smarter decisions about their health.

If this idea resonates (or if you see flaws we should be thinking about), we’d love feedback. Learn more on https://bioreplica.ai/landing

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