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.

3D digital pathology imagingAI auxiliary diagnosis platform integrates 3D pathology sample preparation, high speed image scanning,intelligent software analysis into a novel system. We have collaborated with clinical pathologists to develop both 3D biopsy pathology imaging workflowthe world first 3D pathology image analysis software MetaLite, along with AI models pathology feature annotationquantitative analysis of solid tumor with high accuracy can be rapidly processed. We have transferred patented technology to start up JelloX Biotech Inc. at NTHU for further operation.

The technology provides a new experience for remote respiratory rehabilitation care,let patients realize self-health management at home. The system has three characteristics: First, daily home pulmonary function tests to achieve early warning of disease. Second, the design of automatic feedback aperture valve provides the best positive expiratory pressure (PEP)for pulmonary rehabilitation,APP helps user to do breathing exercise. Third, electronic monitoring of inhaled medications with a two-way flow sensor module,APP helps user to guide the inhalation process.

Our results have demonstrated that our tissue gel can effectively promote angiogenesiswound healing in diabetic wounds. Our product prototype will be a powerful therapeutic product to treat diabetic foot ulcersgo further to rescue diabetic patients from amputation.

Epidermolysis bullosa (EB) is an inherited blistering skin diseaseis also one of the most "urgent, severe, difficultrare" diseases. Since there are at least 21 disease-causing genes involved in EB with markedly variable manifestations, it is particularly difficult for accurate diagnosis. In recent years, next generation sequencing (NGS) has been widely applied in the genetic diagnosis of rare hereditary disorders. The EB team in NCKU established the protocol of EB diagnosis by combining NGSvarious tools of pathologymolecular studies. Till now, we have completed the genetic diagnosis for more than 50 Taiwanese EB patients.

EPICAn is a novel technique that uses liquid biopsy for epigenetic analysis. Using methylation-specific PCR method to analyze specific gene methylation of cell-free DNA in plasma for early detection of breast cancer. The advantages of this technology are 1. High accuracy 2. Low false positive rate 3. Low-invasive 4. less limitation 5. Available for routine continuous detection 6. Monitoring cancer changes 7. Aided diagnosis 8. Automated process 9. Easy-to-operate 10. Rapid analysis. It is expected that EPICAn technique can increase the accuracy of early detection of breast canceraid clinicians diagnosis.

During arthroscopic surgery, the anchor suture is easy to tangleunable to fix the soft tissue using conventional one lumen cannula. Thus we design a novel “Double lumen cannula” containing a flexible septum inside the cannula which can separatechange the cannula volume dynamically into two lumen. This would decrease the surgical timesoft tissue injury,improve the security of su

Despite the progress of medical technology, recurrent pregnancy losspremature birth are still a vast problem. One of the main reasons for these complications is cervical insufficiency. Although cervical cerclage is considered to be the standard method for preventing premature birth, it is an invasive procedure that requires anesthesiasurgical techniques, so it cannot be popularized among the pregnant population. The novel “non-invasive cervical ring” medical device has been developed to meet clinic needs for prevention of preterm labor due to cervical insufficiency.

The device realizes that water is used as the membrane solution,can continuously produce a dynamic liquid bubble membrane with separation characteristics for gas/vaport separation,can produce high-purity oxygenmethane gas for high-pressure oxygenclean energy production.

This rapid diagnostic device for monitoring the abnormal growth of the endometrial tissue is expected to allow women to detect whether VEGFIL-6 are too high at home in a simplerapid manner. These two factors are also increasing in some gynecological cancers. Through the new device, it is convenient for women to self-monitoring women physiologically-relevant diseasespossible causes of abnormal bleeding in the future,seek appropriate medical treatment early.

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).

This Artificial Intelligence model interprets 12-lead electrocardiograms of adults to diagnose heart failure accuratelyefficiently. It is a fabulous heart failure screening tool that can detect more asymptomatic patients. Our goal is to help patients get early treatmentprevent disease deterioration.

This project will establish a National biobank consortium of Taiwan (NBCT) through the fund supportgovernance from the government. All Alliance will follow the same SOP for the biomaterial collectionhave the same quality of the biosample. Adequateconsistent clinical data will also be established under well information security management. Since the contents of the biobanks from different institute are quite different, we will be able to quickly establish a largecomprehensive biobank network. In line with the needs of biotechnology pharmaceutical, artificial intelligence, auxiliary medicalother industries.

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.

The core concept of the decision support system is to establish machine learning-based predictive modelsenable their interpretability to support physicians making clinical decisions in practice. The developed technique is part of the capstone project named "Smart Emergency Department," sponsored by the Ministry of ScienceTechnology. The system comprises NTUH (National Taiwan University Hospital) EMR (Electronic Medical Record) importance analysis, accurate clinical quality indicator prediction,similar medical record retrieval. It is expected to improve the patients＇ flowalleviate emergency department crowding. It has been verified in retrospective studieswill officially enter the clinical trial phase this year.

"The digital transformation of emergency medical is a inter-agency standard of data bridging, which integrates the 119 fire dispatching materials, fire rescue records, ambulance driving data, patient tracking (patient vital characteristics data), emergency medical resources, patient care process. We use NATs (The Cloud Native Message System) technology to achieve early warning mechanism that deliver on-site patient information to the hospital, including: patient＇s vital signs, type of acutesevere illness, etc. We think it cloud enhance the early prevention measures at hospital."

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.

As we continue to face the rapid increase in confirmed Coronavirus cases around the world, we created an AI-based pneumonia detection platform for COVID-19. The system is able to automatically detect high-risk patients with pneumonia that will then send information to doctors. With that information, the doctors are then able to make follow-up decisions and provide a treatment plan after the diagnosis. In specific, doctors from the Department of Medical Imaging provided us thousands of positive and negative chest x-rays for pneumonia as a training set. Our system has already been tested with and adopted by doctors at the NCKU Hospital. The system achieved 95% accuracy to detect the pneumonia symptom, based on 1400 test images.

ALTOMS (Altomated Laser TrackingOptogenetic Manipulation System) is a real-time computer vision object recognitionlaser tracker. It uses a missile-like image recognitiontracking technology,uses several lasers to accurately hit the tracked object. The laser itself does not have the function of controlling nerves, but when we express light-sensitive proteins on specific nerve cells, we can stimulateinhibit nerves through lasers of specific wavelengths, which will affect the behavioral outcome.

With the rise in computing power, deep-learning based computer-aided diagnosis systems have gained interest in the research community. Our system process the images to assist doctors to determine whether the patients have nodules in lungs. Meanwhile, we utilized the Feature Pyramid Network to extend the receptive field on the convolutional kernel, which improved the performance on the nodule detection with various locations in CXR. The semi-supervised learning mechanism also achieves the way of soft-annotation to reduce human effort in medical image annotation.

An intelligent multi-wavelength lighting system was developed and the wavelength and brightness of the lighting system can be adjusted for clinical use by physicians. It is also equipped with several functions such as reminder of lighting, parameter records of use time, lighting brightness and wavelengths. The systems could help the patients adjust the physiological parameters based on the deployment of lighting system. The using lighting parameters would upload to the data base in cloud, and which can compare with the psychological evaluation parameters for treatment physical impact analysis in hospital. With the lighting system, the problem such as poor sleep quality can be greatly improved, and the occurrence probability of mild cognitive impairment and dementia can be deferred.

Ted-ICU AI Platform: (1)Provide a single view of patients＇ EMRsvital signs (2)Support remote ICU monitoring (3)Online labeling tool & Expandable AI algorithms repository (4)Disease-specific prediction models (5)Standardized EMR templates

BeDIS has the following distinguishing features:1.Is easy to configure, deploymaintain 2.Location accuracyresponse time not affected by crowds 3.Can function without Internet 4.Supports waypoint-based indoor navigation 5.Supports diverse indoor location-based APPsservices

This technology is a development drug lead aiming to meet the medical needs of patients with small cell lung cancer. Through disturbing MYC-Aurora A interaction and inducing degradation of MYC oncoprotein, this bioavailable kinase inhibitor could serve as a potential treatment entity for SCLC.

We are proposing a pipeline including de novo genome assemblywhole genome SNP array design to improve the practice in precision medicineprecision agriculture. We design GABOLA, a de novo genome assembly system, combining advantages in leading sequencing platform, to construct completeaccurate individual genomes. GABOLA can resolve large structural variants, fills the gap in human reference genome,avoid the bias from reference genome. We combine the knowledge of population geneticsfunctional information to design whole genome SNP array to aid future genomic study.

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.

Harmoscope is a virtual biopsy technology for dermatology. The superior performances of in vivo Harmoscope has been clinically validated by NTU hospital for 14 years, with the deepest penetration, super-resolution,the highest contrast all at the same time. Without imaging processinglabeling, Harmoscope raw images provide the same level of resolutioninformation as the time-consuming gold standard H&E histopathology, allowing dermatologists and pathologists to grade and classify various skin lesions for immediate therapeutic decision without physical biopsy. This award-winning technology will release the saturated loading of skin biopsy examination, greatly improve the quality of point of care, while providing a trauma-free real-time alternative for skin lesion patients.

Our system is achieved by integrating diffractiondeep learning methods, which allows high-throughput lensless imaging system to display wide rangehigh-resolution images. In addition, the developed extraction chipsprototype were verified to accurately detect the numberproportion of blood cells under low blood demand. Our system shows great potential in point-of-care blood cells monitoring for cancer patients that could reduce infection riskmortality rate, increase efficacy of chemotherapysupport precision medicine.

We developed a biomimetic triple-antibody-immobilized magnetic fucoidan nanomedicine as a multifunctional artificial antigen presenting cell, which possessed the ability to not only inhibit immune checkpoint but activate tumor infiltrated T cells. of Bridging sites with tunable density on the nanoplatform was designed, allowing the antibodies to be well-distributed on the surface for mimicking immune cells. In contrast to the complex cell expansion process using microbeads in adaptive cell therapy, the nanoplatform can be i.v. administrated to cut the course of therapy from several weeks to days. With the development of the platform technology, an artificial immune system family can be built to pave the way for personalized immunotherapy.

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.