The interpretation of next generation sequencing is a big challenge. In order to improve the molecular diagnosis of the patient, we developed the AI_Variant prioritizer, a machine learning based variant prioterization system that can help to prioritize candidate variants for human disease. This module highlighted the possible disease causing variants to help clinician to increase the disease diagnostic yield and decrease the load of manpower.

Endometriosis is a serious gynecological disease with a global incidence of 10. This disease will have a serious impact on women’s daily lives, including severe abdominal pain, massive organ bleeding, sexual behavior difficulties, infertility,even high-risk cancer progression. We discover that the karyotype variation of ribosomes is closely related to the deterioration of endometriosis. We collaborate with Hospital on human clinical trials to develop in vitro diagnostic devices that can screen early stage of Endometriosis. It can avoid unnecessary riskscosts of discovering diseases.

The Center has established a high biological conservation center for the breeding of P. monodon shrimp seeds that meet international standards,has integrated more than 40 professional technologies to select P. monodon shrimp strains that are specific pathogens free (SPF)have special traits for stocking in the three-hectare commercial P. monodon shrimp seed expansion test site in Hualien. This will provide a stable supply of good P. monodon shrimp seeds for use by the Taiwan aquaculture industry.

The technology is video-based blood pressure monitoring which will help people know the continuous BP status in real time. Also, the contactless measurement can make a daily health record. We have conducted clinical trials in hospitalsestablished a large database to optimize AI solution. The system joins the physicians＇ specialty to analyze the users＇ health status with AI,takes care of human life with technology.

Use NLP techniques to realize the automatic coding of ICD10. According to the input of the patient’s age, gender, medical order, admissions, progress note, surgical records, discharge, ICD-10 diagnostic codeICD-10 disposal code, perform machine learning model trainingcode prediction. In addition, the combination codemedical order-related coding rules in practice are used to establish corresponding rules to optimize the accuracy of AI prediction.

In order to improve the disease-selectivitysafety of antibody drugs, we use the autologous hinge as an antibody lockuse protease substrate peptide as linker to generate pro-antibody. Only in the disease area, the overexpressed protease will restore the function of the antibody. The antibody lock can improve the safety of antibodiesthe quality of patient medications. This technology has global patents (granted in 15 countries)technology transfer experience. We believed that the universal antibody lock will bring a revolutionary breakthrough in antibody drugs.

This technology is used micro-electro-mechanical systems combined nanomaterials and micro-heater systems, because the interdisciplinary integrated manufacturing technologies are used to make miniaturized sensor elements, which are equipped with bluetooth functions of algorithms and detection devices to monitor the ketones gas concentration during patient breathing applied in healthy care.

The HeaortaNet is developed by the TW-CVAI team. The HeaortaNet is a deep learning model trained by 70,000 axial images from 200 patients with verified annotations of the pericardiumaorta. It shortens the time for data processing from 60 minutes, by manual segmentation of both pericardiumaorta, to 0.4 seconds. The segmentation accuracy, as assessed by dice similarity coefficient, is 94.8 for the pericardium,91.6 for the aorta. The imaging-based Cardiovascular Risk Prediction module was constructed by analyzing data from the National Health Insurance Databank.

We have developed the device recorded the neuronal action potential of multiple mouse brainstheir cerebellum with high sampling rate (30 kHz)multiple channels to accelerate the study of the pathogenesis of neurodegenerative diseases. The team hopes to extend the multi-channel BCI devicebrainwave technology to more neurodegenerative disease biomarker analysis to help pharmaceutical companies to explore the pathogenesis of neurodegenerative diseaseshelp in new drug developmentclinical diagnosis.

In Taiwan, there are almost 96 million people look for medical treatment due to diabetes. The project successfully used the infrared light measurement system to observe the differences between the bilateral feet,collocating with the Chaos Synchronization to measure the differences between different signals, to decrease the probability of the attendance as the ultimate objective .

Our team has developed technology to build lung-on-a-chip with the aim of creating alternatives for animal researchachieving more accuratereliable preclinical experimental data.The chip＇s rapideffective screening ability will help the clinical community to reduce costsdrastically shorten the drug-development process.

This project designs a biomedical theranostic chip for neural disorders. It can not only function as an implantable device for treating the Parkinson＇s disease, depression, dementia, but also monitor physiological signals in wearable devices. For the development of medical device, the NeuLive system based on the microchip can accelerate the pre-clinical data collectionverification.

This product is a novel risk assessment tool for carotid artery stenosis and stroke. This is a revolutionary healthcare technology using motion analysis and quantification to extract information from pulses for risk assessments. The entire process is completed by taking a short video clip aimed at the neck with only one simple click on any mobile devices or our apparatus, anywhere, anytime. In less than five minutes, the user receives an evaluation report indicating low to high stroke risk. Our product accuracy stands higher than 90% when compared to the clinical outcome. The future indications of this product can be extended to arrhythmia, venous fistula obstruction, etc. This product has the great potential to achieve our dream of “personalized mobile hospital” in the future world.

This system provides multiple functions for digital slides, allowing users to complete all tasks without switching between different software systems. The functions include, Project management, Image management, Annotation, Zoon In / Zoom Out view, Navigation view, Category shortcuts, Authority management,Annotation overview.

Supramolecular nanoparticles is a convenient, flexible,modular synthetic non-viral gene delivery vehicle for drug/gene delivery. The self-assembly of SMNPs is enabled upon mixing three different molecular building blocks, namely CD-PEI, Ad-PAMAM,Ad-PEG via Ad/CD motif-based molecular recognition. This allows modular control over the sizes, surface chemistry,payloads of SMNP vectors, thus holding promise for diverse therapeutic applications, especially for developing nanoparticle-based gene delivery platforms.

The technology aims to develop an AI-based integrated system for emotional detections (anger, sadness, happiness,neutral)multimodal physiological signals (ECG, EEG,PPG),apply to patients with cardiovascular disease. Patients monitor their emotionalphysical statusadminister bio-neuro-feedback to improve their well-being, track disease progression,prevent adverse prognosis.

We originally design a highly efficient NdYVO4/KGW Raman laser at 579.5 nm. The KGW crystal is specially coated to prevent the Stokes wave from propagating through the gain medium so as to minimize the cavity losses. Moreover, we explore a new output coupler with double-sided dichroic coating to exterminate the leakage power of the Stokes wave to lead to a remarkable improvement for the output efficiency. The maximum output power can be up to 10.5W at a pump power of 40W. The conversion efficiency of the diode pump light to yellow laser output can be increased to 26.3.

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.

The objective of this project is to develop a portablewireless urine detection systemplatform for prevention of cardiovascular disease. The main idea is to develop a system-on-chip, a microelectrodemicrochannel chip to detect biomarkers concentrations in urine. And then, it will be wirelessly transmitted to a smart application platform to evaluate user’s cardiovascular status.

In order to develop an AI model that can accuratelycompletely segment coronary arteries, our team, the TW-CVAI, has established a training dataset composed of strictly verified annotations of coronary lumen boundaries in coronary CT angiography (CCTA). We designed a deep learning model, two-channel 3D-UNet, with a priori prerequisite (vesselness prior) to facilitate identification of vascular structures. The final model, the TaiCAD-Net, greatly shortens the CCTA interpretation time from 6 hours to 10 minutes, with the overall segmentation accuracy of 86 by Dice similarity coefficient.

Diabetes is now still an incurable disease. Beta cell failure is one of common causes. No drugs for this failure have been developed. This invention is to developapply PS1 to treatreverse diabetes. PS1 is a first-in-class small-molecule drug, which targets beta cells by improving their survivalfunction. As a result, PS1 can treatreverse diabetes. The anti-diabetic mechanism of

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 Hospital has been investing in rural health care for a long time, providing community intelligence testing equipment on the health care side, providing health care workers to take the measuring equipment with them for real-time measurementdata uploading,providing home physiological measuring equipment, allowing people to take measurements at homeupload the values to the system immediately to achieve personal health management functions. It is hoped that this will reduce the workload of the health center staffprovide interactive health care services to local residents.

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.

Within 10 years, Taiwan will become a super senior society with the proportions in silver hairs of more than 20. Thus, a high-throughputsmart platform with bio-physiology-marker panels is developed for PD progression by combining the bio-medicalphysical sensors, SPRsmart circuit design, leading to a new UPDRS for a more accurateearly diagnosis of a physician.

The principle of the image-based AFib discriminating system is based on the consistency that irregular cardiac cycles can both be detected on the waveforms of electrocardiographyrPPG. The quantity of the blood varies from time to time is captured by a general camera. Signals from RGB channels are then synthesized through the core algorithm to eliminate noisegenerate stable rPPG signals. The processed signals are then classified as AFibnot by a sample-size model. According to the IRB evaluation in En Chu Kong Hospital, the AFib can be well detected with an accuracy of 97.1.

We based on ion trap for mass filter so that ultra-high vacuum is not needed to reduce the weightsize. We took frequency scanning to increase our mass range by 10,000,000,000. We used LED as LC detector to reduce sizecost. Therefore, we not only made a portable device but also a device with many special advantages in technology. An advanced analytical lab can become mobile to easily reach anywhere which needs in-situreal-time analysis by our inventions.