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.

Based on the optical fluorescence of the plant, the technology distinguishes the difference of the main protein infected by virus from the normal ones with the feature light. The main difference of this technology is to omit the complicatedbiochemical-material- consumption procedures. With the establishment of big data, the artificial intelligence algorithm identifies whether the implant is.

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.

(1) Ｇel-type solid electrolytes and All solid-state electrolytes for Lithium Ion Battery (LIBs) (2) Fabrication of dye-sensitized solar cells by printing process and its applications on Internet-of-Things (IoT) - MOST 2019 Award (3) Silicon-carbon coating anode materials for LIBs: SiLican startup company growth and global business layout (4) Power enhanced Intermediate Temperature Solid State Fuel Cell (SOFC) (5) Worldwide highest conversion efficiency (19.4%) perovskite solar cells (6) Industrial linking and Product design : LevioPole and Smart motorcycle suitcase

Migraine patients account for about 640 million people (15) in the world,about 1.75 million (9.1) in Taiwan. Our team had developed a wearable brain-computer interface system with the newly developed graphene dry electrodeadaptive noise subspace reconstruction technology. This system combined the physiological indicators before migraine attacksuses AI technology to build an intelligent migraine early warning system,combined BrainSTIM electrical stimulation technology to assist migraine patients.

The developed Unmanned autonomous underwater vehicles (AUV) included 3-D modeling technology, wireless power transfer between sub-system in AUV, GPS underwater locate system, low complexity frequency domain on ocean floor analyze with AI network, underwater objects detection network, image dehaze network on groundunder water, underwater color correction network, underwater objects classification network, underwater optical characteristic algorithmLED color compensation system.

This successful technology is the digital interventions on depression patients based on (1) heart rate variability bio-feedbacks (HRVBs) measured by a novel flexible sensor patch attached on patient’s wrist(2) an APP. An innovative flexible low-power PPG patch has been designed which is capable of providing weeks of high-quality PPG signals which are essential towards accurate estimation of HRV for favorable efficacy of designed digital interventions. Also, An AI model correlating the HRVsand PHQ-9/HDRS scores of depression patients will be built based on collected data.

The technology of 「Guard Patch」includes three parts. 1. Wearable devices, 2. Intelligent wireless monitoring system. 3. Cloud server with AI to avoid the happen of cardiovascular diseases (CVD). The products of 「Guard Patch」also includes three parts: 1. Medical Market: (1) YuGuard, (2) YuSound, (3) YuRine. 2. Wearable Market: (1) YuCloth, (2) YuPet, (3) YuBelt. 3.Educative Market: TriAnswer. The mentioned seven products developed by Yutech can be employed in medical, wearable, educative markets to satisfy the different demands of customersachieve the dream of 「Bioelectronics Garden」