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1/3: Noval disease diagnosis using liquid biopsy and artificial intelligence
1/3: Noval disease diagnosis using liquid biopsy and artificial intelligence
Develop platform to accumulate bimolecular information from blood and combine with machine learning for precise disease diagnosis on cancer and neurodegenerative diseases (>300 patients)
Highlighted in U.S.News, Science EurekAlert, Penn Medicine News, ANI News, and more
This work and relevant patent have been applied by Point-of-Care start-up ChipDiagnostics Inc. (raised $8,000,000 funding so far)
As we are paying more attention to our life-long health situation, the challenges that we are facing is getting bigger, such as the wide-spread coronavirus problem and the highly lethal cancer diseases. A reliable, precise, while timely diagnosis is essential to treat those patients especially at the early stage before it is too late or more people would be infected.
To solve this issue, I built high-throughput microfluidics pairing with the ensemble Machine Learning classifer for novel diagnosis on pancreatic cancer, one of the most lethal cancers worldwhide. We achieve PDAC diagnosis in real clinical situation and also performed superior occult metastases prediction than conventional clinical diagnosis to provide more appropriate treatment guidance.
Yang Z., et al Clinical Cancer Research (2020)
Beard K.‡, Yang Z.‡, et al Brain Communication (2021)
Aging & Disease (2021), Alzheimer's & Dementia (2020)
Journal of Neurotrauma (2020)
Lab on a Chip (2018)
2/3: High throughput, ultrasensitive detection and analysis of subcellular nanomaterials at the single particle level
2/3: High throughput, ultrasensitive detection and analysis of subcellular nanomaterials at the single particle level
Hopefull I have demonstrated the enormous potential of liquid biopsy for its diagnostic and therapeutic value on cancer and neurodegenerative disease. However, it has proven challenging to achieve the sensitivity to detect individual nanomaterials, the specificity to distinguish multiple subpopulations, and a sufficient throughput to study nanomaterials among an enormous background in blood.
To address this fundamental challenge, I developed a droplet-based optofluidic platform to quantify specific individual extracellular vesicle (EV) subpopulations at high throughput. The key innovation of our platform is parallelization of droplet generation, processing, and analysis to achieve a throughput (∼20 million droplets/min) more than 100× greater than typical microfluidics. I expect this technology will allow accurate quantification of rare nanomaterials for broad biomedical applications.
Yang Z., et al Nano Letter (2022)
This work has been awarded for Penn Health Tech Pioneer Award ($50,000)
This work and relevant research has made the finalist of 2021 Nokia Bell Labs Prize for Innovators ( 6 our f 108 projects worldwide)
3/3: Flexible/Wearable electronics for long term healthcare monitoring
3/3: Flexible/Wearable electronics for long term healthcare monitoring
Flexible while versatile electronic system has been revoluntionizing our healthcare monitoring due to its conformal contact with soft biological surface. Under the guidence of Prof. John Rogers in University of Illionis, one of the pioneer in this field, I was developing long term electronic healthcare monitoring by: 1) implemented high density silicon transistor array; 2) discovered supreme encapsulation materials; 3) applied 3D printing for conformal organ-machine contact.
Meanwhile, I also lead a team to implantable, fully biodegradable solar cell for optogenetics.
My work hasHighlighted in Nature Biomedical Engineering, IEEE Spectrum, MRS Bulletin, Med Device Online
Multiplexed silicon arrays for long term cardiac electrophysiology
Multiplexed silicon arrays for long term cardiac electrophysiology
Biodegradable power supplies for transient biomedical implants
Biodegradable power supplies for transient biomedical implants
Advanced Energy Materials, 2018
co-first authored
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