MBZUAI researchers are working on digital twin technology that can replicate human beings in detail, with real-time data flow between the physical and virtual. This project aims to extend digital twins from objects to organic entities like humans, plants and animals. The technology mines data from cameras, sensors, wearables, and other sources to predict health issues before they arise. Why it matters: This research has the potential to transform healthcare by enabling the prediction and prevention of health issues.
The AI4Bio Workshop at MBZUAI explored the intersection of AI and biology, focusing on AI-driven virtual organisms and foundation models. Eric Xing presented his vision of using AI to simulate biological activities, offering a safer alternative to physical experiments. Researchers like Le Song and Jen Philippe Vert are developing foundation models for biological systems, enhancing drug discovery and bioengineering. Why it matters: This signals the growing importance of AI in advancing biological research and healthcare innovation within the UAE and globally.
MBZUAI's Professor Le Song is developing an AI-driven simulation to model the human body at societal, organ, tissue, cellular, and molecular levels. The goal is to reduce the time and cost associated with bringing new medicines to market by removing the need for wet lab biological research. Song aims to create a comprehensive model using machine learning. Why it matters: This research could revolutionize drug discovery in the region by accelerating the development process and reducing reliance on traditional research methods.
MBZUAI's Dr. Hao Li is working on using AI and 3D telepresence to transform communication, work, and education by replacing physical transportation with virtual teleportation. His research focuses on the intersection of computer graphics, computer vision, and AI, specifically virtual avatar creation and facial performance capture. Li aims to improve communication using AI to achieve what cannot be done in real life. Why it matters: This research has the potential to reduce carbon footprints by enabling remote work and virtual collaboration, while also positioning MBZUAI and the UAE as leaders in AI-driven metaverse technologies.
MBZUAI researchers developed FetalCLIP, an AI model trained on 210,000 ultrasound images for fast and reliable interpretation of fetal scans. MBZUAI's President Eric Xing contributed to the General Expression Transformer (GET), an AI foundation model acting as a biological simulator to predict gene behavior. MBZUAI and Carleton University created MedPromptX for quicker disease diagnosis and treatment plans using multimodal AI. Why it matters: These AI advancements from MBZUAI have the potential to revolutionize healthcare in the region and globally, from prenatal care to drug discovery and personalized medicine.