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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.
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