flanster6997
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- Jun 16, 2019
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I'm currently a 2019 graduate of Penn State University wanting to pursue internal veterinarian medicine. Being fortunate enough to attend many veterinarian conferences my senior year of college, I noticed the inconsistencies with a handful of veterinarians misdiagnosing patients based on CBC reports. So this past year I have been working on an idea to introduce a predictive AI driven CBC machine for cats and dogs that will essentially eliminate subjectiveness to diagnose, but haven't been getting positive feedback lately. Any suggestions/Input? It's truly a scary thought that half a room full of veterinarians will diagnose a dog with inflammation from a high number of reticularcytes in the blood when the dog actually has heinz body anemia(example at one the conferences).