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Explore the future of healthcare with carefully selected information.
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In today's world, where the world is networked by advances in information technology and numerous technologies are evolving at an astonishing speed, it is extremely difficult to manually collect and manage the vast amount of information from all over the world.
DxMedical Cloud™ collects and analyzes professional information from around the world and uses proprietary algorithms to quickly and accurately deliver the information you seek and the best information for you.
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You can quickly search for information published in various languages around the world in Japanese. Get the information you need from the vast amount of information available worldwide without having to worry about language barriers.
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In addition to word matching, the search by similar and related keywords delivers news that is often missed due to paraphrasing and shaky spelling.
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By providing titles and summaries of information from around the world in Japanese, it streamlines the process of “finding” the information you want from search results.
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For researchers and professionals, you can search and browse more specialized information, such as articles submitted to journals by universities and research institutes.
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Simple and intuitive operation allows you to quickly consolidate all information into a notebook and organize information efficiently. It can be used as a powerful tool for effective information sharing.
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A wide range of information sharing tools are available, including chat and note sharing functions. We support information sharing with your team in all situations, from casual information sharing to organizing information in teams.
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Provides task management functions specifically designed to make information gathering and sharing more efficient. In addition to regular task management functions, this useful tool supports information gathering and sharing, improving the productivity of the entire team.
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Technology
Creating microgels by ion exchange for drug delivery
One method used to deliver drugs in a controlled manner is to encapsulate them in an injectable gel. Microgels — hydrogel particles made of synthetic or natural polymers with a high water content that measure about 1 to 100 micrometers wide — are garnering increased attention for drug delivery. The release of encapsulated drugs can be precisely controlled (called programmable delivery) by modifying the microgel properties, such as particle size, swelling behavior and the degree of cross-linking. Multiple drugs can be incorporated into one injection, which can help limit invasiveness, particularly with complex medical treatments.
Manufacture of microgels is typically a complex process involving carefully developing covalent bonds. Now, a research team at the University of Michigan (UM; Ann Arbor, Mich.; www.che.engin.umich.edu) has developed an alternative, simpler method for making microgels using ionic bonds, which are easier to break than covalent bonds.
A Chinese team has developed a non-contact atrial fibrillation detection system.
Atrial fibrillation (AF) is a common arrhythmia that can lead to serious health problems and increase the risk of death. How to detect and intervene early through effective monitoring methods has attracted widespread attention.
A medical paper published in the academic journal *Nature Communications* by Springer Nature on the night of May 20 Beijing time reported that a team of Chinese scientists has successfully developed a non-contact atrial fibrillation detection system based on radar sensing and artificial intelligence (AI) technology. The system can wirelessly monitor signs of arrhythmia, aiding in the detection of the disease before traditional clinical diagnostic pathways are employed.
The corresponding author of the paper, Professor Chen Yan from the University of Science and Technology of China, explained that an electrocardiogram (ECG) is the primary tool for diagnosing AF, but it is mainly used when symptoms appear or during occasional physical examinations, making it difficult to detect early-stage AF and thus missing the window for timely intervention.
Wearable Sensors and Artificial Intelligence for Sleep Apnea Detection: A Systematic Review
Sleep apnea, a prevalent disorder affecting millions of people worldwide, has attracted increasing attention in recent years due to its significant impact on public health and quality of life. The integration of wearable devices and artificial intelligence technologies has revolutionized the treatment and diagnosis of sleep apnea. Leveraging the portability and sensors of wearable devices, coupled with AI algorithms, has enabled real-time monitoring and accurate analysis of sleep patterns, facilitating early detection and personalized interventions for people suffering from sleep apnea. This article presents a systematic review of the current state of the art in identifying the latest artificial intelligence techniques, wearable devices, data types, and preprocessing methods employed in the diagnosis of sleep apnea. Four databases were used and the results before screening report 249 studies published between 2020 and 2024. After screening, 28 studies met the inclusion criteria. This review reveals a trend in recent years where methodologies involving patches, clocks and rings have been increasingly integrated with convolutional neural networks, producing promising results, particularly when combined with transfer learning techniques. We observed that the outcomes of various algorithms and their combinations also rely on the quantity and type of data utilized for training. The findings suggest that employing multiple combinations of different neural networks with convolutional layers contributes to the development of a more precise system for early diagnosis of sleep apnea.
AmruthSwasthBharath enables contactless health assessments in under 60 seconds using smartphone-based diagnostics
The AmruthSwasthBharath tool, developed by Quick Vitals, uses deep learning and AI technologies integrated with Photoplethysmography (PPG) to deliver diagnostic results in less than a minute. The technology enables contactless testing through camera-enabled smartphones and tablets, or continuous monitoring using contact-based PPG sensors. Prof. Dr Ravi Kumar said, “AmruthSwasthBharath will revolutionise health diagnostics in India. It is particularly beneficial for children and pregnant women, facilitating regular and accessible health assessments. We take pride in being the first hospital in India to implement this transformative initiative.” Harish Bisam added, “With AmruthSwasthBharath, health monitoring has become as simple as taking a selfie. Our mobile face scanning technology offers rapid access to crucial health information, effectively addressing existing barriers to healthcare access.”
The Spanish innovators fighting food waste – and food-poisoning – with smart labels
Food waste is a critical global problem, costing billions annually and contributing significantly to environmental damage. In the European Union alone, over 59 million tonnes of food are discarded every year – a staggering 132 kilograms per person – while millions suffer from foodborne illnesses. Addressing these challenges, three young Spanish entrepreneurs, Pilar Granado, Pablo Sosa Domínguez, and Luis Chimeno, have developed smart biodegradable labels that detect bacterial growth on food and signal freshness in real time. This breakthrough has earned them a place among the top 10 selected innovators in the Young Inventors Prize 2025.
Testosterone reduces the risk of Alzheimer's dementia
Approximately two-thirds of patients with Alzheimer's disease are women, but the specific mechanisms underlying this gender difference have remained unclear. The study found that testosterone, a male hormone, acts on microglia—immune cells in the brain—to activate autophagy (※1), thereby suppressing the accumulation of amyloid beta. The findings of this study are expected to contribute to the development of Alzheimer's disease prevention and treatment strategies that take biological sex into account.
New research introduces time axis to AI for accurate control of industrial fermentation processes
The research team led by Professor Jinjin Li at Shanghai Jiao Tong University has successfully commercialized an “AI industrial automatic control system based on transfer learning and physical explainability” (AI automatic control system, ManuDrive). ManuDrive introduces a time dimension into industrial fermentation processes, enabling dynamic control through AI.By dynamically controlling parameters in complex biological fermentation processes and generating optimal fermentation plans in real time for any future point in time, it significantly increases industrial fermentation production. In the field of biological fermentation, time is a major influencing factor. Microorganisms exhibit significant differences at each growth stage, and their growth status determines the success or failure of the fermentation process. To ensure fermentation quality, human engineers typically perform manual control around the clock based on years of accumulated experience.Professor Jinjin Li's team at Shanghai Jiao Tong University has developed and successfully implemented an AI-based automatic control system, introducing the time dimension into industrial fermentation processes and enabling precise control of these processes.
Electrical stimulation improves hair density in AGA
Male pattern hair loss (MPHL) is recognized as the leading cause of hair loss worldwide. Researchers conducted a retrospective study to evaluate the efficacy and safety of the niostem device in male patients with MPHL.
Assistive Devices for Elderly People 2025: Daily Living, Safety at Home, and More
Older adults face unique health issues that make daily life more difficult. Common health conditions among older adults include arthritis, high blood pressure, and dementia. The World Health Organization (WHO) states that more than 2.5 billion older adults face unique health challenges and changes.
Eldercare robot helps people sit and stand, and catches them if they fall
The Elderly Physical Support Robot (E-BAR) is a mobile robot designed to provide physical support to elderly people. Users can walk independently or lean on the robot's arms for support. The robot can support the user's entire body weight and assist in standing up from a seated position or sitting down from a standing position. Nanoelectronics specialist Imec is demonstrating an ingestible sensor for intestinal health. The prototype has the potential to provide insights into intestinal inflammation and the gut microbiome. The prototype is approximately three times smaller than current capsule endoscopes.
Wearable continuous diffusion-based skin gas analysis
Current wearable device technology enables detailed tracking of physical, chemical, and hormonal biomarkers. However, the potential class of biomarkers remains largely unexplored, particularly those related to gas emissions from the body. We introduce a concept that enables sampling of gas emissions from the skin by forming a 3D cavity that facilitates continuous gas exchange with the surrounding environment.
The first artificial intelligence solution specializing in fresh food category management in the retail grocery industry
Procurant, a leading provider of technology solutions for the food industry, today announced the launch of Procurant Fresh AI, the first artificial intelligence solution specifically for perishables category management in retail grocery. Procurant Fresh AI leverages the company's extensive expertise in the highly volatile perishables category to reduce costs, streamline decision-making, eliminate complex reporting and deliver accurate insights to executives and frontline users alike. Procurant Fresh AI helps retailers maintain a competitive edge in a critically important category. The solution provides accurate insights within a seamless, AI-powered interface that streamlines multiple steps and processes associated with category management. Procurant's unique approach first sorts through volatile and often unstructured information to organize data into a secure, AI-ready format. Then, in plain language, users can ask questions about the category and act on new insights.
Cutting-edge wearable improves support for people with dementia
Wearable technology can help caregivers reduce stress and track loved ones with dementia, improving safety and peace of mind.