SugarStrings Achieves 94.89% Accuracy In ML-Driven Genetic Disorder Screening

SugarStrings' proprietary ML crawler identifies novel genetic mutations with 94.89% accuracy and can analyse data across diverse populations, enabling screening for 7,442 genetic disorders via cheek swab. Builders in diagnostics should note: ML's real moat in biotech isn't just accuracy—it's diversity of training data and the ability to catch novel mutations incumbents miss.

Source: YourStory ↗