Research

Precision Medicine & Clinical Translational Research Lab

Research Overview

Precision Medicine & Clinical Translational Research Lab is dedicated to solving biomedical challenges in the fields of medical imaging, genetic sequencing, and biosignals for cancer and other diseases. We are committed to integrating state-of-the-art AI models to create native medical Digital Twins, shape the next generation of smart healthcare, and build a personalized healthcare metaverse.
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Medical Digital Twin

Implement novel Large Language Models (LLMs) to create a virtual entity that mimics multi-omic medical applications and facilitates planning between the virtual and real worlds.

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Cellular Automaton

Realize models to simulate disease mechanisms or the functioning of biological systems, providing a pathway for predicting the future development of diseases. This can be instrumental in achieving both predictive and preventive healthcare outcomes.

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3D Medical Data Visualization

By leveraging disease data, constructing a 3D dimensional data visualization model enables the data to get interactive functionalities.

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Medical Image Segmentation

Precisely marking lesions in medical images not only aids in disease identification but also provides insights for decision-making discussions.

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Medical Image Detection

Identify small lesions in medical images. The research aims to aid physicians decreasing the time on image interpretation.

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Medical Image Classification

Classify disease stages for individual images and automate the identification of multiple disease images to achieve intelligent healthcare solutions.

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Cancer Comorbidity

Explore and define comorbidity patterns among diseases to investigate the interdependencies among different illnesses.

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Cancer DNA Sequence & Gene Expression Analysis

Utilize Natural Language Processing (NLP) techniques to decode genes and validate gene expression levels using microarrays, with a particular focus on deciphering cancer-related information.

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Biomedical Signal Analysis

Process physiological signals, including brainwaves and heart sounds, among others, to explore qualitative phenomena not previously defined in the human body.

Research Projects