Thematic Center for Intelligence Bioengineering

Thematic Center for Green Technology
Our focus is on topics with potential industrial value in biotechnology or high-impact clinical applications. We aim to advance biomedical applications by developing innovative sensing, imaging, characterization, and fabrication technologies.

Focusing project

Research Content

Creating an integrated platform for high-performance drug discovery

This platform encompasses intelligent computation, efficient chemical synthesis, digital biosensing, and patient-derived organoid models for drug testing. In an era where personalized medicine is rapidly gaining traction, this project is both timely and significant. The marriage of cloud computing and artificial intelligence can expedite drug discovery, potentially enabling new treatments to reach patients more rapidly. Meanwhile, the development of patient-derived organoid models aligns with global regulatory efforts to reduce animal testing, contributing to more ethical and accurate drug testing methods.
Revolutionize optical microscopy by achieving spatial resolution comparable to electron microscopy (EM), while retaining chemical information and the capacity for 3D imaging

This endeavor could fundamentally change our understanding of biological structures like synapses, a key area of focus in neurology and related fields. By enhancing the resolution and capabilities of optical microscopy, we can facilitate more comprehensive research into synaptic connectivity and advance our understanding of how information flows within the brain.


Field of Imaging and Sensing

  • Innovated lightsheet expansion microscopy to match the resolution of electron microscopes.
  • Applied cluster ion beams and secondary ion mass spectrometry to investigate organic-inorganic composites.
  • Created a high-throughput drug screening platform that utilizes cellular traction forces.
  • Developed a surface plasmon resonance (SPR)-based digital nanoplasmonmetry (DiNM) method for the sensitive detection of biomolecules, eliminating the need for labeling.
  • Employed a 3D cell co-culture system to evaluate the synergistic effects of anti-fibrotic and anti-cancer drugs on lung cancer cells and cancer-associated fibroblasts. Through this research, we've identified four genes in fibroblasts that could potentially be suppressed by the anti-fibrotic drug nintedanib.
Field of Artificial Intelligence Integration

  • Our "AI Deduction Learning Non-Invasive Blood Glucose Meter” earned the National Innovation Award.
  • Introduced a unique computational approach to calculate the standard free energy of binding based on the statistical mechanics of biomolecular interactions in an all-atom explicit solvent description.This method has proven useful in protein-protein, protein-peptide, and protein-small molecule systems.
  • Applied machine learning to Raman image spectra categorization for illicit drug detection.
  • To aid in the development of biomedical sensors for pesticide molecules, we've synthesized various oligopeptide fragments and composite metal nanostructures.
Field of Drug Delivery

  • Creating delivery systems for cold-mimetic and heat-mimetic compounds. We've designed a dissolving hydrogel system to release the cold-mimetic compound menthol gradually. This release mechanism triggers adipocyte browning, presenting a potential solution for obesity and associated metabolic disorders.
  • Developed in vitro cell culture models based on microfluidics to examine blood vessel formation processes, like vasculogenesis and angiogenesis, in more life like microenvironments