"We present here a portable device with isothermally mediated loop amplification (LAMP) for the diagnosis of infectious diseases. The main components included (1) roller conveyor, (2) hotplate,(3) temperaturemotion control panels. After mixing all the solutions by rollingsqueezing the sealed compartments, the LAMP strip was heated for 30 min for amplification. Finally, fluorescence results can be read with the naked eyeon a smartphone under the UV lamp. The 700g device is powered by a portable charger, making it easier to detect pathogens in resource-limited environments."

The RL model develops a control policy directly from experience to predict statesrewards during a learning procedure. Hence, we designed a medical image environment including US images, different actions,rewards, agent learns in this environment to extract the ALN regionevaluates the status. The performance of our proposed method achieves an accuracy of 83.6, a sensitivity of 88.6,a specificity of 89.0.

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.

The innovative technology is based on the unique biomimetic material, including immunomagnetic nanoparticlesa portable IoT detection device, promoting the detection speed, accuracy,precision of the target molecule. Featuring with the excellent ability of minimizing the non-specific binding, this technology decreases false negative/false positive successfully. The device combines IoTAI module for statisticscalculation on the cloud for building up a magneto-electrochemical IoT sensing system for the integrated isolationprofiling of extracellular vesicles from plasma.

Our system provides system identification, servo tuning,feed axis diagnosis for machine tools. Also, executing remote function verification,data collection are included. All these functions were actually tested verified by the co-operation manufacturer. It help operatorsengineers to maintainadjust the machine so that the feed drive system match. During this critical time of the COVID-19 epidemic, the proposed system provides a zero-touch remote diagnostic functionmethod for engineers to maintain the machines in the processing plant can effectively reduce coststime.

A transfer learning-assisted glaucoma detection system was build first with training images from the fundus images database of Taipei Veterans General Hospital,then fine-tuned to improve its applicability on fundus images from different datasets. This system aims to assist clinic-based glaucoma screening to increase the diagnostic rate of glaucoma by using existing healthcare facility.

The product—CAN Bus OBDII/J1939 Bridge can ease the design for equipments related to monitor for fuel economics,emission. The following applications can be developed easily: l Vehicle diagnosis l Vehicle status monitor/Service l Fleet management l Vehicle to Vehicle (V2V) communication l Vehicle performance log l Air pollution monitor

The pitching data collected by the motion analysis system was imported into the virtual reality system. In our system, players can see their 3D pitching motionknow the difference between normalfatigue data.

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.

Similar to the critical point tracking technology of human vision, the split attentionspatial grouping enhancement module, combining the multi-path grouping architecturespatial attention technology, can accurately extract important information from the imageimprove the network performance. Moreover, adopting neural architecture search technology to automatically search for the most suitable network architecture based on current moduleshardware devices can balance diagnosis speedhigh accuracy.

Cancer is the first leading cause of death in Taiwan. Targeted therapy allows the cancer cells to be specifically targeted, reduces the side effects,achieves the purpose of precision cancer treatment. This report contains two invention technologies which combined early & specific diagnosis of a specific Aurora-A mRNA isoform in cancers (the companion diagnosis)the treated with a selective locked nucleic acid (LNA)-modified novel double-stranded short interfering nucleic acid (siRNA) to inhibit the translation of this Aurora-A mRNA isoform (targeted therapy) in cancers.

The Al-based web diagnostic system provides an online assessment tool for diagnosing schizophrenia. The Explainable Deep Neural Network classifier is deployed to analyze gray matterwhite matter to derive diagnostic classification of schizophrenia. The structural brain abnormalities associated with schizophrenia is visualized on the AI-based web diagnostic system at individual level.

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.

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.

Our technique is a liver tumor detection method using machine learning which is the most popular AI technique in these years. the high-magnification image provides more details, but the view is smaller in contrast, a low-magnification image has the larger view but less details. Thus, our method combines the two magnificationsyields more accurate tumor detection results.

As for the proposed technology by combining the artificial bee colony algorithmthe semi-supervised extreme learning machine (ABC-SSELM), characteristic parameter normalization equations of I-V curves are tuned via low-cost data under normal operation of PV strings. The proposed ABC-SSELM method only needs 1-3 labeled data of the total dataset to save humantime cost. The accuracy of diagnosing various mixed faults can reach more than 99.84,the monitoring of dust accumulation can provide effective cleaning to increase the revenue of the solar PV power generation system.

“MeDA OXR: Real-time Hazard Recognition System,” which can automatically screeninterpret the medical images in real-time, is designed for emergency rooms to assist physicians in diagnosis, reducing medical risks,improving overall efficiency. Combining portable X-RayAI algorithms, the system performs real-timeaccurate preliminary screeningdiagnoses of diseases, such as pneumothorax, pneumonia,tuberculosis. It can also locate the nasogastric tube, endotracheal tube,central venous catheter, while misplacement of that is sent to the physicians when detected.

PANCREASaver contains a “PC automatic segmentation model” (image segmentation)a “PC analysis AI model” (image classification) that can read the DICOM format of postcontrast CT images directly for the automatic analysis process. After conducting prep-processing with image processing algorithms, C2FNAS is employed to illustrate the tumor position prior to the diagnosis conducted by CNN. The results can be provided to the physician for diagnostic reference so as to reduce early omissionsincrease the detection rate of pancreatic cancer.