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Unique artificial intelligence-based platform to guide quantitative pathology analysis and cancer diagnosis

Accurate diagnosis is crucial for developing optimal treatment plans for cancer patients. Dr. Kun Yu at Harvard Medical School has developed a fully-automated image analysis framework that can accurately diagnose non-small cell lung cancer, breast cancer, hematological malignancies and, potentially, other tumors. This approach does not rely on prior pathology knowledge and can objectively identify novel, clinically relevant histopathology patterns. The use of this technology in a clinical setting could enable efficient and subjective diagnosis of cancer and offer a novel approach to disease diagnosis. We believe this is an excellent licensing opportunity and are looking for partners interested in commercializing the technology.

Intellectual Property Status: Patent(s) Pending

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