AI4HEALTH is redefining healthcare, turning data into actionable, personalized insights for every patient.
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HDTs
Develop comprehensive whole-body human digital twins.
HDTs for Sports Health
"hospital at home" by enabling noninvasive continuous monitoring and early warning of health risks in elderly individuals.
HDTs for Elderly Care
noninvasive continuous monitoring and early warning of health risks in elderly individuals.
Ai4Health
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Digital Twins:
Bridging the Physical and Digital Realms.
A digital twin is a dynamic, virtual representation of a physical object or system. It uses real-time data, simulations, and machine learning algorithms to understand, predict, and optimize functions for better performance. From manufacturing equipment to entire cities and even human physiology, digital twins can be applied across various sectors.
Cutting Edge Ai:
Leveraging AI technologies
Generative Adversarial Networks (GANs):
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:
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.
Large language models and assistive robots:
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.
