One of the most amazing use cases of AI in Life-Sciences anyone has done with Cogniflow.
The following video is a conversation with Maria Castelló, Ph.D. in Neuroscience, the person in charge of this promising research at the IIBCE Science Institute.
Biology is one of many fields in which AI is achieving better results, either in research or clinical analysis, where Medical imaging, Neuroscience, and Protein-folding are only some of the areas that AI has revolutionized. Cogniflow is playing a big part in it.
In the future, AI will be a game-changer in diagnosing and understanding neurological disorders like Alzheimer's, Parkinson's, and more. And while in this study case this model is initially to analyze cell images under the microscope, it is poised to grow into something much bigger than that—a tool for analyzing any kind of cell structure for medicinal applications and other fields. With extensive time already invested in the project and promising studies already completed, many scientists will start seeing No-code AI such as Cogniflow as a milestone in Life-Science research.
This research is crucial in future findings in identifying and characterizing different types of cells. We hope you enjoy it! The potential applications truly are endless, and we can't wait to see what becomes of it.
We learned how a team of scientists with no background in AI or coding could successfully build a model capable of recognizing and classifying electroreceptors in fish thanks to Cogniflow, achieving an outstanding f1-score of 98%.
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