Health Partners
Leveraging AI technologies, such as smart sensing, generativeadversarial networks (GANs), physics-informed machine learning, deep reinforcement learning, predictive foundation models, large language models and assistive robots, to create accurate and up-to-date HDTsfor individuals. These digital twins will enable personalized, data-driven, and precise healthcare decisions, improving patient outcomes and reducing costs.
A class of artificial intelligence algorithms that use two neural networks, one generating data and the other evaluating it, to produce high-quality synthetic data.
Physics-Informed Machine Learning integrates principles of physics into machine learning models, ensuring that predictions adhere to established physical laws. This enhances the accuracy and interpretability of models, especially in science and engineering.
Advanced AI models trained on vast amounts of text to understand and generate human-like text based on the input. Assistive robots leverage AI to aid in tasks, enhancing healthcare outcomes and providing insights and guidance.