Precision

This project proposes a smart contact lens ideally capable of simultaneously observing the tear evaporation rate, the tear osmolarity,the ocular surface temperature. To solve the shortcoming of the current difficulty in quantifying DES, assist doctors in the diagnosis of dry eye conditions, the effectivenessselectivity of drugs, the treatment statusrecovery level.

We have developed a low-costportable reader for thermometric lateral flow immunoassay (TLFIA) using colloidal goldlatex beads as reportersa continuous-wave green laser as the heating source. Instead of using infrared cameras, a single-element infrared sensor is employed for temperature sensing without compromising the sensitivity of the reader. The thermometric assay provides a 10× higher sensitivity than color visualizationthe results are sufficiently quantitative to support decision making in point-of-care testing for infectious diseases (such as COVID-19).

Here, we introduce an electricity-free centrifuge platform based on a manual centrifuge. The provided centrifugal force is sufficient to produce a plasma purity of 99 separated in as little as 2−3 min. We then performed an immunoassay on a paper devicethe results were observed by a portable reader. As a result, the detection limit of the C-Reactive Protein is 1 ng/mL, with a total turnaround time of 7 min.

This product provides "Microfluidic sensing system for on-site rapid detection of early-stage acute kidney injury" for the hospital＇s intensive care unit, operating room, nephrology departmentcardiology department. It can replace the lengthycumbersome traditional instrumentationeasily access at the point of care.

We use features such as asymmetric expression and crooked eyes to assess the risk of facial stroke. Observing the micro vibration of the head caused by the contraction of the heart, and develop a zero-contact facial heart rate and respiration rate detection technology in conjunction with the camera. The technology can accurately measure heart rate and respiration rate in real time, thereby reducing the risk of infection. This technology has obtained two ROC patents (M590433, I689285), two US patents (HEART RATE DETECTION METHOD AND DEVICE THEREOF,MOUTH AND NOSE OCCLUDED DETECTING METHOD AND SYSTEM THEREOF). The possibility of detecting strokes through AI machine learning methods is not only accurate, but also find out signs of stroke early to grasp the best time to seek medical treatment.

Surface-enhanced Raman spectroscopy (SERS) is a useful analytical technique for detecting extremely small amounts of molecules. Herein, we designed a paper-based quasi-three-dimensional SERS substrate (P-SERS) that can provide potential to improve Raman analyses for food safety, pesticide poisoning, precision medicine, drug abuse and DNA/RNA testing. The sensitive, low-cost, flexible and disposable SERS substrate could be easily fabricated by physical deposition of gold nanoparticles array onto a filter paper. In this case, we are able to create non-continuous Au islands on the fiber surfaces, where the gaps between AuNPs can dramatically generate the high electric field to enhance Raman signal of target molecules.

Monitoring PCDM-specific biomarkers, galectin-3S100A9, to serve as a risk assessment of pancreatic cancer on new-onset diabetes patients for early detection of PC.

Our technology combines optimized semiconductor manufacturing technique with unique biomediator preparation to achieve the first reliable POC biosensing platform. Sensors developed according to this method possess reproducibility, accuracy,stability that meet POC. Our sensors are portable, require low sample volume, do not require sample processing,are extremely suitable for use in POC settings. They can also be integrated into IoT systems to aide in rapid decision making,can be mass produced. Overall, we are the first to achieve accessible, reliable detection at the POC.

The screening kits were developed using miRNAs for high-risk populations for urothelial carcinoma (UC). Products 702703 are designed for chronic kidney diseasehemodialysis patients using urineblood samples, respectively. With high accuracyminimal invasiveness, the kits are intended to be used as a screeningregular monitoring of UC. If a test reveals a positive result, the patient then undergoes cystoscopic examination for further confirmation. Otherwise, the patent only needs to be monitored annually.

The chromium-doped zinc gallate, ZnGa2O4:Cr3+, material is viewed as a long-lasting luminescent phosphor which can avoid tissue autofluorescence interference for in vivo imaging detection. The cubic ZGC revealed a specific accumulation in liver0.5 Gy used at the end of X-ray excitation was sufficient for imaging of deep seated hepatic tumors.

Here we developed a fastgreen process of micro-plasma system for three-dimensional porous nanomaterials on low-cost paper substrates. The characteristics are low-cost, flexible,high-stability. It has three major applications, including increasing Raman measument, the detection process can be used with portable Raman spectroscopy for fast sensing,it can quickly analyze pesticides, food, drugs, etc. In addition, it can be equipped with boron nitride for high hydrogen productionhigh pollution biodegradationother applications.

The key technology of Patient Derived Tumor Spheroids (PDTS) is to create an in-vitro patient tumor microenvironmenttumor-like properties, furthermore, predict various cancer antidrug effectiveness to each patient via the high-throughputhigh-quality cell viability detectionbiomarker analysis. Therefore, this project established several technologies including extracellular matrix fabrication, bioink design, cell population identification,tumor physiological environment for the upon goal.

In the current of study, cell subsets, cell proportionsthe immune function of tumors-infiltrating leukocytes were used to indicate the features of tumor immune microenvironment in non-small cell lung cancers (NSCLCs) with different type of EGFR genetic alteration.

PCA-BM includes two models: “Automatic BMs Segmentation AI Model”" Distant Brain Failure Prediction Model". The former one uses C2FNAS (coarse to fine network architecture search) to detect the location, size,number of brain metastases. The latter uses radiomics to extract numerous radiographic featuresemploys machine learning methods such as XGBoost to establish a prognostic model of brain metastases. PCA-BM provides more precision treatment decisions for patientsimproves personalizedaccurate overall stereotactic radiosurgery planning.

The core technology includes lightweight UAV, heterogeneous sensor integration, obstacle avoidance, group flight automatic flight control, RTK precision positioning systemfruit tree 3D stereo modeling technology. The UAV can be used for 3D scanningspectral information collection. The information can use for fruit tree growth monitoring, nutrient analysis,fruit quality monitoring.

We develops a precision smart healthcare platform to deliver a comprehensive medical care experience to the elderly by Artificial Intelligence of Things (AIoT) technology. The platform offers health education, community interaction, personal health information,rehabilitation logs. It can be used as a basis for clinical staff to conduct diagnosistreatment. The system development tools use PHP programming languageLaravel framework to develop all arithmetic logic,gradually complete the dynamic association databaseinteractive web page functions.

1.Low-Power Processing-in-sensor CMOS Image Sensor 2.Implementation of Low-PowerLow-Latency Deep Learning Chip based on Neuromorphic Intelligence (collaborated with MOST 108-2622-8-007-009) 3.Development of Neuromorphic Chip based on The Fruit Fly VisualSpatial Sensory Systems 4.Hardware-Software Co-Design for Neuromorphic AI Chips

AI model is consisted of detection, data pre-processingclassification ensemble model. We applied YOLO 3 to detect vertebral body from radiography,used data pre-processing to reduce image noisyenhance contrast, integrated ResNet34, DenseNet121, DenseNet201 into AI mode. Our result reveals the ensemble model has better performance in accuracy, sensitivityspecificity.

This technique uses multimodal nonlinear optical microscopy with the image contrast of second harmonic generation (SHG)coherent anti-Stokes Raman scattering (CARS). By analyzing the nonlinear signals on images, it can be used to characterizequantify the structural variation in the collagen scaffolds processed with different crosslinking methods. The correlation between signalsmechanical properties can then be derived. Additionally, comparative analysis of these two signals can be used to monitor the structural (triple-helix) change of collagen molecules during the crosslinking processes.

The special gear processing software was developed to calculate the cutting path. The CNC gear generator with high flexibility was utilized to process all kinds of special gear teethdress the gear precision by control feedbackcompensation. Conversational human-machine interface has contributed to simplification of modification programoperator.

Here we present a portable microfluidic device that can perform immunoassay for infectious disease diagnosis or detect heavy metal ions in water samples. The device is composed of two major components: nanomaterials modified paper-based detection platform and semi-automated flow manipulator. A reusable 3D-printed device is used to hold a disposable detection pad that modified with functional nanomaterials for water quality monitoring or antibodies for disease diagnosis. Besides, the use of spring-containing 3D-printed syringes manipulates a large-volume sample without manual actuation. Meanwhile, by controlling the flow rate via the linked flow regulator at the syringe outlet, solutions can react stably with the paper platform, which provides detection and pre-concentration effects.