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Triomics taps LLMs to accelerate cancer care, raises $15M
In tests, Triomics' OncoLLM outperformed larger open-source and proprietary LLMs at patient-trial matching and rivaled qualified medical experts and GPT-4.
Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Founded by former MIT and Adobe researchers Sarim Khan and Hrituraj Singh, Triomics has developed a family of large language models (LLMs), dubbed OncoLLM, that streamlines the complex and time-consuming oncology-related workflows staffers at medical centers have to go through to determine the right treatment path for a patient. Join us as we return to NYC on June 5th to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations.
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