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AI-driven sperm analysis could revolutionize male infertility diagnostics by providing objective, reproducible results that surpass traditional methods.
By injecting semantic knowledge into latent space models, this work shows how to learn more robust representations from imbalanced data, a pervasive challenge in fields like healthcare.