From pharmacist to AI founder—that's Eunice Qu's career plot twist. She'd had enough of the tedious daily grind: endless data entry, paper faxes piling up, the whole analog nightmare. One day she decided to walk away and build something better.
Enter Asepha. It's a machine learning-powered platform that cuts through the chaos of handwritten prescriptions. The system reads the handwriting, verifies security codes, and actually processes those old-school paper faxes (surprise—they're still everywhere in healthcare). What used to take hours of manual work now runs on algorithms.
Her frustration became her business idea. Classic entrepreneurship—see a broken process, fix it with tech.
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YieldChaser
· 10h ago
The outdated and inefficient processes in the healthcare industry really need to be overhauled. Using paper faxes is truly outdated.
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BoredRiceBall
· 10h ago
Damn, the healthcare system is still using paper faxes? How outdated is that?
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ChainMemeDealer
· 10h ago
Haha, this is what Web3 should be about—solving real-world pain points with technology.
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GasFeeSobber
· 10h ago
Another story of escaping from the traditional industry, truly amazing
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DaoTherapy
· 11h ago
From a pharmacist to an AI founder, this is what I call a career comeback, so exciting
The pain point of handwritten prescription recognition is nailed, the bunch of paper faxes in the healthcare system really should be eliminated
The framework is a bit simple, but the idea is good; the key is whether it can truly withstand reality when implemented
I just want to know if this thing can solve the inhumane processes in the healthcare system
Hey, by the way, can Web3 also come up with a similar solution? How about decentralized prescription management?
Using tech to optimize broken processes is a good idea, I just don't know how the funding progress is going
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DevChive
· 11h ago
This is the real pain point startup—going from complaints to product, and all that's missing is an idea.
From pharmacist to AI founder—that's Eunice Qu's career plot twist. She'd had enough of the tedious daily grind: endless data entry, paper faxes piling up, the whole analog nightmare. One day she decided to walk away and build something better.
Enter Asepha. It's a machine learning-powered platform that cuts through the chaos of handwritten prescriptions. The system reads the handwriting, verifies security codes, and actually processes those old-school paper faxes (surprise—they're still everywhere in healthcare). What used to take hours of manual work now runs on algorithms.
Her frustration became her business idea. Classic entrepreneurship—see a broken process, fix it with tech.