DxMedical Cloud™
Technology for overwhelmingly high-speed detection from all over the world.
We use our unique algorithm to deliver the latest technology and product information from around the world in real time.
Explore the future of healthcare with carefully selected information.
Explore the future of healthcare with carefully selected information.
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How We Help You To Empower Your Business
POINT 1.
Quickly Deliver Technical Information
We deliver what you seek quickly and in a short time from technical information from all over the world
POINT 2.
Briefly to the Point
A wealth of detailed features makes it easy to understand the main points
POINT 3.
Help with Growth Strategies
The report is also packed with analytical information from the perspective of growth and long-term strategies for business use
Catch Up on the Latest Information
from Around the World
from Around the World
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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Quick search in Japanese
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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DxMedical Cloud's proprietary algorithms predict the best information based on your interests and preferences and deliver it to you daily. Stay one step ahead of the curve without the hassle of searching, maximizing your daily information gathering.
Fuzzy Search
In addition to word matching, the search by similar and related keywords delivers news that is often missed due to paraphrasing and shaky spelling.
Japanese Localization
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.
Academic Search
For researchers and professionals, you can search and browse more specialized information, such as articles submitted to journals by universities and research institutes.
More features to enhance your team's productivity
Bookmark
Instantly save and manage information that you like or want to look at later because you don't have time, with the bookmark function. You can access the information you need without hassle, saving you a great deal of time and effort.
Note Editor
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.
Information sharing
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.
Collaboration
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.
DigitalMedical Open Innovation
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innovation from Tokyo, where you can experience the intersection of cool and passionate design and
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Technology
Brainwave Research Reveals Children's Developmental Patterns: A Study Using Doll Hair Color Changes
Tokai Optical Co., Ltd., in collaboration with the Aichi Prefectural Medical and Educational Center Developmental Disorders Research Institute and Pilot Corporation, has developed a method to evaluate children's startle responses to changes in doll hair color (Meru-chan®) using brain waves. Research employing this method revealed that children's ability to feel surprise (the ability to unconsciously notice changes) develops rapidly up to 92 months of age and then remains largely constant thereafter. These research findings were published in the international journal BMC Neuroscience on August 11, 2025.
Smart Skincare Trends: Using AI Technology to Understand Your Skin Better
Finding the perfect skincare routine can feel like an endless game of trial and error. Even with countless products and expert advice, and beauty trends, many people still struggle to address their unique skin needs. Why? Traditional routines often rely on generic recommendations rather than insights tailored to individual skin concerns.
Fortunately, technology is stepping in to change the game. Artificial intelligence (AI) is making it possible to understand your skin in ways that were unimaginable just a few years ago. From analyzing facial concerns to suggesting personalized products, AI is helping people achieve healthier, glowing skin—faster and more effectively than ever before.
Smartee Launches Aligners for Better Sleep
Smartee Denti-Technology recently announced the global launch of the Smartee Sleep Aligners, a clear aligner device designed to help manage obstructive sleep apnoea-hypopnoea syndrome (OSAHS) and primary snoring (PS). The new series includes two versions: Smartee SA, which focuses on the treatment of OSAHS and PS, and Smartee SA Plus. The latter can treat OSAHS while simultaneously addressing orthodontic issues. Together, they provide clinicians with an invisible alternative to conventional OSAHS treatment therapies, offering greater comfort and compliance, and improving sleep quality.
Advancing Clinical Gait Analysis with Generative AI and Musculoskeletal Simulation
In the evolving landscape of neurological healthcare, gait assessment stands as a cornerstone diagnostic and monitoring tool, offering critical insights into patient conditions ranging from cerebral palsy to Parkinson’s disease. Traditionally, however, such assessments have relied heavily on subjective clinical observations, which are qualitative and susceptible to observer bias. The inherent limitations of these methods have catalyzed a push towards more quantitative, scalable, and objective solutions. Recent advancements in artificial intelligence (AI), coupled with the ubiquity of smartphones equipped with sophisticated cameras, have opened new horizons for gait analysis. Despite these technological strides, a fundamental roadblock persists: the scarcity of comprehensive, diverse clinical datasets necessary to train robust AI models that can generalize across varied populations and sensor environments. This scarcity, often rooted in stringent privacy regulations and the logistical complexities of data collection, has confined most existing gait analysis algorithms to niche applications, limiting their clinical impact.
Not only does it help regulate gut health, but it's also expected to support beauty—the potential link between fermentable dietary fiber intake and improved sleep and skin.
The Fermentable Dietary Fiber Promotion Project, a general incorporated association, shares various information aiming for a “well-being daily life starting from the gut.” This project also works with academia and participating companies to spread awareness of the importance of fermentable dietary fiber and support healthy eating habits.
This time, we would like to introduce a joint research project between participating companies in this project: Mizkan Co., Ltd., Setsunan University, and Kyoto Prefectural University.
Digital musical instrument designed to combat isolation and boost motor skills in older adults
Alex Gunning, who recently graduated with a degree in Product Design and Technology, designed "Sonare'—a portable, all-in-one musical instrument and teaching tool for older adults—as part of his final year project.
Unlike traditional instruments that rely on fine motor skills and physical strength, Sonare offers a lightweight, ergonomic design. Users can tap or swipe to trigger sounds, enabling collaborative and solo play without the strain of heavy keys or strings.
Dogs can detect Parkinson's disease with their noses
A study has confirmed that dogs have the ability to detect Parkinson's disease through smell. In the study, five dogs were trained to detect Parkinson's disease using skin swabs from patients with the condition. The results showed that two dogs (a Golden Retriever named Bapper and a Black Retriever named Peanuts) achieved 80% accuracy in detecting Parkinson's disease and 98% accuracy in detecting non-patients.This study suggests the potential for utilizing dogs' sense of smell in the early diagnosis of Parkinson's disease. Professor Nicola Lonney of the University of Bristol stated that the development of non-invasive testing methods using dogs is feasible.
Sensor technology in smart spine technology for yarn manufacturing
Sensor technology in yarn manufacturing is essential for ensuring quality, speed, and efficiency during the process of converting fibers into yarn. Sensors instantly detect yarn breaks, reduce production line downtime, and minimize waste. Additionally, they monitor the presence, movement, and quality of fibers and yarn by detecting changes in light or electric fields, and also detect the speed of rotating parts and metal contamination.Furthermore, they verify color, patterns, and the accuracy of fabric weaving, while monitoring surrounding temperature, humidity, and air quality to maintain optimal processing conditions. Advancements in sensor technology have enabled dual-measurement sensors, IoT-enabled machine monitoring, and AI-driven quality and efficiency control, transforming modern spinning mills into high-precision manufacturing facilities. Companies such as KJTDQ, Uster Technologies, Loepfe, Sensor Partners, and Rieter provide these technologies.
Novel AI drug discovery tool predicts more accurate treatment ‘recipes’
A new AI tool has been shown to identify treatments designed to reverse disease states in cells up to 25 times quicker, more efficiently and more accurately than previous models.
Researchers from Harvard Medical School (MA, USA) have developed an AI-based graph neural network model that is able to better predict molecules that could be mediated to reverse disease states in cells and the potential drugs that could target them by considering multiple drivers of disease. PDGrapher, available for free, looks for agents that could address disease states, rather than limiting its search to agents that target molecules already known to play a role in a particular disease.
AI-powered electronic nose detects diverse scents for health care and environmental applications
A research team has developed a "next-generation AI electronic nose" capable of distinguishing scents like the human olfactory system does and analyzing them using artificial intelligence. This technology converts scent molecules into electrical signals and trains AI models on their unique patterns. It holds great promise for applications in personalized health care, the cosmetics industry, and environmental monitoring.
This startup's biosensor will make drug development and manufacturing cheaper.
ASG was founded by Marcie Black and Bill Rever and has developed a technology that combines silicon nanowires and antibodies to measure protein concentrations with high sensitivity. This technology reduces the time and cost of ELISA testing by 15 times, significantly improving the efficiency of drug development and manufacturing.ASG's sensors can deliver results within 15 minutes by placing a solution on the sensor, washing it, and inserting it into a handheld testing system. This technology is expected to have applications not only in drug development and manufacturing but also in agriculture and healthcare. Black earned a degree in electrical engineering from MIT, gained research experience at MIT's research institutions, and founded ASG. ASG is advancing the development of low-cost, high-precision sensors with the support of MIT.
New imaging technique reconstructs the shapes of hidden objects
A new imaging technique developed by MIT researchers could enable quality-control robots in a warehouse to peer through a cardboard shipping box and see that the handle of a mug buried under packing peanuts is broken.
Their approach leverages millimeter wave (mmWave) signals, the same type of signals used in Wi-Fi, to create accurate 3D reconstructions of objects that are blocked from view.
The waves can travel through common obstacles like plastic containers or interior walls, and reflect off hidden objects. The system, called mmNorm, collects those reflections and feeds them into an algorithm that estimates the shape of the object’s surface.
Domestic AI startups launch joint research on AI for dementia diagnosis support
The University of Tokyo Faculty of Medicine-spinoff startup OptimAIze Consulting Co., Ltd. (Minato-ku, Tokyo; Representative Director Takashi Sekido) has joined a joint research project with the Graduate School of Medicine, Osaka University, Department of Clinical Gene Therapy (Endowed Professor Ryuichi Morishita and Endowed Associate Professor Akiko Takeda) and I-Brain Science Co., Ltd.(Osaka Prefecture, Suita City; Representative Director: Kentaro Takamura) to participate in a joint research project. The three parties signed a contract regarding the joint research with Osaka University on May 19, 2025.
In this joint research, I-Brain Science Co., Ltd. (Osaka Prefecture, Suita City; Representative Director Kenjiro Takamura), which develops and markets “Mirevo®,” an insurance-covered SaMD for dementia diagnosis support, will collaborate with Osaka University Graduate School of Medicine to jointly develop an AI algorithm for a second-generation app aimed at supporting screening for MCI (mild cognitive impairment) and early-stage dementia.