Terra Quantum’s Hybrid Quantum Model for Identifying Liver Transplant Candidates Shows Improvement Over Existing Techniques

Terra Quantum has developed a groundbreaking hybrid quantum neural network (HQNN) model that outperforms traditional methods in identifying healthy livers suitable for transplantation. Collaborating with medical experts, the company designed a system combining quantum computing with classical machine learning, achieving a 97% image classification accuracy for diagnosing non-alcoholic fatty liver disease (NAFLD). This represents a […]

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