Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

FET uses cloud and IoT technologies launches a full range of electric vehicle charging services. It integrates all charging pile information on the market, provides complete information and cash flow services for both car owners and field owners to achieve real-time management. Features * Suitable fields：Apartment / Office building * Remote control within or without internet connectivity * Easy to use; Tap in access card and start charging * Convenient payment by telecom bill, credit card or LINE Pay * 24/7 operation & maintenance services

In view of the fact that generative AI will play a key role in the future smart medical care and bring many benefits and impacts, Huijia Health combines solutions from MediaTek and Microsoft Taiwan, to create the first dynamic health LLM "Generative AI Smart Care Assistance System". Huijia Health combines the Huijia nFOPT® 24-hour automatic room patrol system’s health databank with the "MediaTek DaVinci" generative AI service platform, and Microsoft Azure's high security, high privacy, and high compliance Cloud services, are planned to provide "Telemedicine", "Smart Consultation", "Smart Handover" and more "Generative AI Smart Care Assistance Systems" that will change the future.

The application of digital twin technology in building smart cities is becoming increasingly clear, serving as a crucial engine for driving urban transformation. In the development of smart cities in recent years, citizens can view the growth and development of the entire city, including population growth, new construction, and other major activities, in a 3D format, gradually emphasizing the concept of a virtual city. Digital twin technology can simulate disaster scenarios, including weather events and traffic accidents, assisting disaster response personnel in rapidly understanding the situation and optimizing the efficiency of disaster response. In recent years, with the advancement of aerial photography, simulation technology, and computing resources, The National Science and Technology Center for Disaster Reduction has leveraged advanced technology to create a mountainous flood inundation model system. This system enhances disaster warning and impact analysis, providing a comprehensive view of vulnerable settlements. It utilizes dynamic models and virtual-real integration, presenting alert information and disaster impacts through visual elements, contributing to informed decision-making in disaster situations.

Advanced machine learning algorithms process massive amounts of data collected from a building's HVAC system in real time. This technology enables a comprehensive analysis of various factors, including energy usage patterns, occupancy rates, outdoor climate conditions, and more, resulting in highly accurate HVAC system operational optimization. Our technology offers greater energy savings than traditional BMS solutions and is able to save energy while maintaining indoor comfort, allowing for quick and seamless integration into existing HVAC systems without the need for costly and time-consuming hardware upgrades.

The Highway Traffic Management and Control System of FETC International is a centralized management system that is designed for highway road management operator to ensure the safety of road users and maintain the smooth traffic flow. Combined the top-notched technology innovations and over 20 years transportation integration experiences, FETC International provides a total solution and cross-platform integration to fulfill the exclusive demands of our customers in different countries.

B.D Mobile uses AI and 5G to create non-invasive heart models that adjust parameters and customize virtual hearts, improving diagnosis. 5G enables real-time data processing and 3D heart images, enhancing efficiency. This tech optimizes medical training with 3D surgery simulations, reducing training time. AI diagnostics reduce misdiagnosis, accelerate analysis, and build patient trust. 5G VR/MR enhances immersive training, improving quality and reducing equipment wear.

Taiwan Instrument Research Institute (TIRI) of the National Applied Research Laboratories , as a incorporated foundation , collaborates with outstanding domestic academic teams to jointly develop advanced microchips for air quality sensors. Our mission is to achieve real-time monitoring of air quality in daily life and provide accurate alerts and information to the public. Through the collaborative research and innovation of industry, government, academia, and research, the ultra-miniaturized design of the sensor system is not only the culmination of locally developed independent technology but also a dedication to public health. We can sensitively capture subtle changes in the air, providing real-time information on air quality conditions. Empowering you to understand your surrounding environment and take timely actions, our sensor ensures a breath of fresh air and a healthier lifestyle. We are committed to creating a world of air quality filled with wisdom and care.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.

Combining with barometric pressure MEMS (microscale electro-mechanical systems) modules and low power characteristic, the sensor is suitable to monitor and measure water levels of drainage, sewer systems or inundation depths. Having high accuracy, low power consumption and lightweight, the product can be easily installed and maintained. It has the feature and functionality of acquiring real-time data from fields for further analyses, computing and modeling applications.

Founded in 2019, Millilab is a mmWave radar engineering services provider. The team comprises experts in RF, IC, and algorithms related to mmWave technology. Our mission is to apply the safest and most reliable sensing technology to the IoT domain, offering sensing solutions that are both privacy-preserving and accurate. Our services include mmWave radar total-solutions, as well as hardware and software development. Through our proprietary algorithms, we can detect object position, distance, movement, and vital signs, effectively distinguishing between adults and children. Applications include in-cabin sensing, smart home appliances, elderly care, and more.

AI air-conditioning energy-saving technology controls existing systems to achieve an energy-saving rate of 10%-30%. It can be applied to energy-saving solutions for air-conditioning systems, heat pump hot water systems, and information room systems. This service has been used in Taipower Building, Taipei Post Office, and the two national agencies, and has achieved 25%-60% air conditioning energy saving rate. This service has the characteristics of "smart", "low cost" and "immediate effectiveness". It does not rely on the energy-saving strategy of "hardware replacement “, but focuses on "software implement" to achieve "rapid deployment" and "short payback period". ”, “effective energy saving”.