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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.
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
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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Recommendations for You
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
BrainEnergy produce DigitalMedical open innovation from Tokyo, where you can experience the intersection of cool and passionate design and technology.
Transform Your Business With Cloud
Looking for the Future of Health Care
OUR TECHNOLOGY HELPS YOUR BUSINESS
Our technology will help your business
Technology
Development of a Non-Wearable Algorithm for Alcohol Biosensors: Lab-Based Machine Learning and Field Deployment
The alcohol biosensor worn on the arm can continuously track alcohol consumption, but measurements are interrupted when the device is removed. Ignoring non-wear data impacts the observation of alcohol use and the prediction of resulting intoxication. To achieve accurate non-wear detection beyond a temperature threshold, researchers trained a random forest algorithm using ground truth data from the lab.In Study 1, 36 participants wore the Skyn biosensor during 61 five-hour experimental sessions, generating non-wear data. Features for the algorithm included temperature, motion, and the corresponding time-series quadratic coefficient.Device-based cross-validation showed the algorithm had a non-wear sensitivity of 0.96 and a wear specificity of 0.99, outperforming the 25–30°C temperature threshold. This algorithm evaluated biosensor adherence in the field in Study 2.114 participants wore Skyn for 4 weeks, self-reporting non-wear time daily. The algorithm detected 1.6 hours of non-wear time per person, showing higher agreement with self-reports than the temperature threshold method. This non-wear algorithm evaluates biosensor adherence in field studies and may contribute to building more objective models of alcohol-related outcomes.
Measuring histamine dynamics during eating behavior using a new biosensor, HisLightG
Histamine is involved in the regulation of food intake, but its dynamics during individual feeding episodes remain unclear. In this study, we combined a novel genetically encoded histamine sensor, HisLightG, with fiber photometry to measure histamine release in two hypothalamic regions, the dorsolateral nucleus (VMH) and the paraventricular nucleus (PVH) of the hypothalamus.Male mice were tested under different conditions to evaluate the effects of fasting, time of day, or calorie content of the administered solution on histamine fluctuations. Results showed that histamine levels changed rapidly in response to feeding, and histamine fluctuations were influenced by experimental conditions. Specifically, responses were slightly smaller when the test solution was sucrose or during the light phase.Additionally, while histamine returned to baseline levels in the PVH, it remained below baseline levels for over 10 seconds after feeding cessation in the VMH. Furthermore, administration of histamine precursors (L-histidine) reduced lick counts at multiple sucrose concentrations. These results suggest that histamine activity is rapidly regulated during feeding episodes and provide insights into the role of histamine in appetite suppression.
AI-enabled piezoelectric wearable for joint torque monitoring: A breakthrough in joint health monitoring
In the pursuit of more effective and accessible solutions for joint health monitoring, researchers are constantly seeking innovative ways to enhance the capabilities of wearable devices. A recent article published in Nano-Micro Letters, authored by Professor Jin-Chong Tan and Professor Hubin Zhao from the University of Oxford and University College London, presents a groundbreaking AI-enabled piezoelectric wearable device for accurate joint torque sensing, leveraging the unique properties of boron nitride nanotubes (BNNTs).
Sensors That Taste: Using Organoids to Mimic the Tongue
Recently published in Microsystems & Nanoengineering, a team of scientists has introduced a biomimetic taste sensor powered by taste bud organoids. These three-dimensional structures were cultivated from taste stem/progenitor cells. Designed to replicate the intricate sensory mechanisms of natural taste buds, the system offers an in vitro platform for objective and consistent taste detection over extended periods.
Ultra-small optical devices rewrite the rules of light manipulation
A research team at MIT has developed a new nanophotonics platform to advance the technology of controlling light at the nanoscale. This platform is smaller and more efficient than conventional technologies and has the unique feature of being able to dynamically change optical modes in response to external inputs.In this study, the team utilized a new material called chromium sulfide bromide (CrSBr) and harnessed the properties of excitons, which interact with light, to create an optical structure that can control light behavior using a magnetic field. CrSBr has an extremely high refractive index, enabling the design of optical structures with extremely thin profiles. Additionally, it can operate at extremely low temperatures, making it promising for applications such as quantum simulation and nonlinear optics.
The Top Five Emerging Microbiome Startups Following Their Gut
Fecal microbiota transplantation (FMT) has gained traction in the last few decades and microbiome-based therapeutics are getting ever more precise. These five private companies are harnessing the gut to treat inflammation, infections, and even cancer. As sequencing technologies get faster and cheaper, researchers are increasingly shedding light on the complexity of the human microbiome. Disruptions to the gut flora are linked to many diseases, with one classic example being Clostridioides difficile infections, where the pathogens exploit imbalances in the gut. As bacteria become increasingly resistant to antibiotics, FMTs have the potential to “reset” the microbiome and prevent C. difficile infections more effectively than traditional methods.
Inhaling this scent may slow the progression of Alzheimer's disease.
Researchers at the CIMA Institute affiliated with the University of Navarra in Spain have discovered through mouse studies that inhaling menthol may slow the progression of Alzheimer's disease. In this study, mice were exposed to menthol for six months, after which brain inflammation levels and memory were assessed.The results showed that inhaling menthol significantly reduced levels of IL-1β, an inflammation marker in the prefrontal cortex of the brain, and prevented cognitive decline. This effect was found to be due to the regulation of immune responses through the olfactory system, and it was also confirmed that the effect disappeared when olfactory function was lost (drug-induced). However, the effects in humans have not yet been confirmed, and further research is needed.
Electrochemical aptasensor based on carbonized eggshell membranes for carbendazim monitoring in aquatic systems
This study presents the development of a cost-effective and sustainable electrochemical aptasensor based on the covalent immobilization of an aptamer on carbonized and oxidized eggshell membranes (CESM-OX) for detecting carbendazim (CBZ) in an aquatic environment. Key experimental conditions were optimized for the sensor's performance, including aptamer concentration, immobilization time, and CBZ recognition time. The aptasensor demonstrated excellent selectivity and stability, achieving a detection limit of 0.686 μg/L in Milli-Q water and 0.400 μg/L in a simulated secondary effluent without standard addition methods. The aptasensor maintained high specificity for CBZ, even in the presence of common interferents such as atrazine, glyphosate, trifluralin, and benomyl. The stability test revealed that the aptasensor maintained consistent performance for up to 7 days when stored at 4 °C, with minimal variation in current response. Validation complex of the aptasensor using real wastewater matrices revealed a strong correlation (Pearson coefficient of 0.9993, relative error lower than 5 %) between the aptasensor and the reference technique, UHPLC, underscoring the aptasensor's high accuracy and reliability. Notably, no pre-treatment of samples was required, making the aptasensor sustainable for application in intensive agricultural areas where the highest concentrations found were 6000 ng/L. The aptasensor utilizes CESM-OX as a base material, offering an eco-friendly alternative by upcycling waste while maintaining sensitivity and stability, even in real complex matrices, which makes the aptasensor a valuable tool for environmental monitoring and detecting contaminants of emerging concern (CECs).
3D-Printed Device Turns Motion Into Power
researchers at Boise State University have developed a TENG that is made with biocompatible and eco-friendly materials. Furthermore, their energy harvesters can be fabricated with just a 3D printer. These factors could make energy harvesting technologies not only more practical, but also easier and less costly for developers to experiment with. The team has created a fully printed TENG using a novel composite ink composed of poly(vinyl butyral-co-vinyl alcohol-co-vinyl acetate) (PVBVA) and Ti₃C₂Tₓ MXene nanosheets. This formulation enables additive manufacturing of high-performance, skin-compatible devices that can be directly integrated into wearables.
A multifunctional robot platform that leverages advanced automation and artificial intelligence to improve the delivery of medical services.
Cobionix, which is developing autonomous systems for the healthcare industry, today said it has closed a $3 million (U.S.) strategic funding round. The company said it will use the investment to commercialize CODI, its multi-functional robotic platform designed to enhance healthcare delivery through advanced automation and artificial intelligence. As part of closing the investment, Cobionix recently moved its headquarters to support the necessary growth for commercialization and manufacturing, maintaining its base in Kitchener, Ontario. The company started as a member of the MassRobotics Healthcare Catalyst program.
Discovery of anti-obesity effects of new prebiotics: Inhibition of carbohydrate absorption via acetate and intestinal bacterial metabolism
RIKEN Center for Life Science Technologies, Mucosal Systems Research Team: Hiroji Ohno, Team Director; Naoki Takeuchi, Special Researcher (at the time of the study);and a joint research group including Shu Shimamoto, Fellow at Daicel Corporation (Headquarters: Kita-ku, Osaka City; President and CEO: Yasuhiro Sakaki), have revealed that water-soluble acetic acid cellulose (WSCA), a cellulose sample that specifically increases acetic acid in the digestive tract, suppresses carbohydrate absorption from the digestive tract by acting on intestinal bacteria, thereby improving obesity. This research finding is expected to contribute to obesity prevention through foods based on prebiotics [1]. In this study, the collaborative research group administered WSCA to mice and found that it improved obesity, hyperglycemia, and fatty liver, reduced the absorption of simple carbohydrates [2] through changes in the intestinal environment, and decreased carbohydrate storage in the liver. This study was published in the online edition of the scientific journal ‘Cell Metabolism’ on May 16 (Japan Standard Time: May 17).
Propell partners with Xandar Kardian for contact-free monitoring
Remote patient monitoring specialist Propell has announced a collaboration with Xandar Kardian, a pioneer in radar-based continuous monitoring solutions. The arrangement will offer advanced, contact-free patient monitoring to hospitals and aged care facilities, supporting patient care and staff efficiency. Xandar Kardian’s technology uses radar sensors to provide 24/7 continuous monitoring of vital signs including resting […]
Apple Researchers Create an AI Model That Uses Behavioural Data from Wearables to Predict Health Signals
Apple researchers, in collaboration with the University of Southern California, have developed a new artificial intelligence (AI) model that tracks behavioural data over sensor signals. The new research builds on prior work by the Apple Heart and Movement Study (AHMS) and was aimed at understanding if behavioural data, such as sleep pattern and step count, can be a better determinant of a person's health compared to traditional indices such as heart rate and blood oxygen level. As per the paper, the AI model performed surprisingly well, even if with some caveats.
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.
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
DigitalMedical Open Innovation
デジタル・メディカル・オープンイノベーション
BrainEnergy produce DigitalMedical open innovation from Tokyo, where you can experience the intersection of cool and passionate design and technology.
Transform Your Business With Cloud
Looking for the Future
of Health Care
OUR TECHNOLOGY HELPS
YOUR BUSINESS
Our technology will help your business
Technology
Development of a Non-Wearable Algorithm for Alcohol Biosensors: Lab-Based Machine Learning and Field Deployment
The alcohol biosensor worn on the arm can continuously track alcohol consumption, but measurements are interrupted when the device is removed. Ignoring non-wear data impacts the observation of alcohol use and the prediction of resulting intoxication. To achieve accurate non-wear detection beyond a temperature threshold, researchers trained a random forest algorithm using ground truth data from the lab.In Study 1, 36 participants wore the Skyn biosensor during 61 five-hour experimental sessions, generating non-wear data. Features for the algorithm included temperature, motion, and the corresponding time-series quadratic coefficient.Device-based cross-validation showed the algorithm had a non-wear sensitivity of 0.96 and a wear specificity of 0.99, outperforming the 25–30°C temperature threshold. This algorithm evaluated biosensor adherence in the field in Study 2.114 participants wore Skyn for 4 weeks, self-reporting non-wear time daily. The algorithm detected 1.6 hours of non-wear time per person, showing higher agreement with self-reports than the temperature threshold method. This non-wear algorithm evaluates biosensor adherence in field studies and may contribute to building more objective models of alcohol-related outcomes.
National Institutes of Health (NIH) | (.gov)
Measuring histamine dynamics during eating behavior using a new biosensor, HisLightG
Histamine is involved in the regulation of food intake, but its dynamics during individual feeding episodes remain unclear. In this study, we combined a novel genetically encoded histamine sensor, HisLightG, with fiber photometry to measure histamine release in two hypothalamic regions, the dorsolateral nucleus (VMH) and the paraventricular nucleus (PVH) of the hypothalamus.Male mice were tested under different conditions to evaluate the effects of fasting, time of day, or calorie content of the administered solution on histamine fluctuations. Results showed that histamine levels changed rapidly in response to feeding, and histamine fluctuations were influenced by experimental conditions. Specifically, responses were slightly smaller when the test solution was sucrose or during the light phase.Additionally, while histamine returned to baseline levels in the PVH, it remained below baseline levels for over 10 seconds after feeding cessation in the VMH. Furthermore, administration of histamine precursors (L-histidine) reduced lick counts at multiple sucrose concentrations. These results suggest that histamine activity is rapidly regulated during feeding episodes and provide insights into the role of histamine in appetite suppression.
National Institutes of Health (NIH)
AI-enabled piezoelectric wearable for joint torque monitoring: A breakthrough in joint health monitoring
In the pursuit of more effective and accessible solutions for joint health monitoring, researchers are constantly seeking innovative ways to enhance the capabilities of wearable devices. A recent article published in Nano-Micro Letters, authored by Professor Jin-Chong Tan and Professor Hubin Zhao from the University of Oxford and University College London, presents a groundbreaking AI-enabled piezoelectric wearable device for accurate joint torque sensing, leveraging the unique properties of boron nitride nanotubes (BNNTs).
EurekAlert!
Sensors That Taste: Using Organoids to Mimic the Tongue
Recently published in Microsystems & Nanoengineering, a team of scientists has introduced a biomimetic taste sensor powered by taste bud organoids. These three-dimensional structures were cultivated from taste stem/progenitor cells. Designed to replicate the intricate sensory mechanisms of natural taste buds, the system offers an in vitro platform for objective and consistent taste detection over extended periods.
AZO Sensors
Ultra-small optical devices rewrite the rules of light manipulation
A research team at MIT has developed a new nanophotonics platform to advance the technology of controlling light at the nanoscale. This platform is smaller and more efficient than conventional technologies and has the unique feature of being able to dynamically change optical modes in response to external inputs.In this study, the team utilized a new material called chromium sulfide bromide (CrSBr) and harnessed the properties of excitons, which interact with light, to create an optical structure that can control light behavior using a magnetic field. CrSBr has an extremely high refractive index, enabling the design of optical structures with extremely thin profiles. Additionally, it can operate at extremely low temperatures, making it promising for applications such as quantum simulation and nonlinear optics.
MIT News
The Top Five Emerging Microbiome Startups Following Their Gut
Fecal microbiota transplantation (FMT) has gained traction in the last few decades and microbiome-based therapeutics are getting ever more precise. These five private companies are harnessing the gut to treat inflammation, infections, and even cancer. As sequencing technologies get faster and cheaper, researchers are increasingly shedding light on the complexity of the human microbiome. Disruptions to the gut flora are linked to many diseases, with one classic example being Clostridioides difficile infections, where the pathogens exploit imbalances in the gut. As bacteria become increasingly resistant to antibiotics, FMTs have the potential to “reset” the microbiome and prevent C. difficile infections more effectively than traditional methods.
Inside Precistion Medicine
Inhaling this scent may slow the progression of Alzheimer's disease.
Researchers at the CIMA Institute affiliated with the University of Navarra in Spain have discovered through mouse studies that inhaling menthol may slow the progression of Alzheimer's disease. In this study, mice were exposed to menthol for six months, after which brain inflammation levels and memory were assessed.The results showed that inhaling menthol significantly reduced levels of IL-1β, an inflammation marker in the prefrontal cortex of the brain, and prevented cognitive decline. This effect was found to be due to the regulation of immune responses through the olfactory system, and it was also confirmed that the effect disappeared when olfactory function was lost (drug-induced). However, the effects in humans have not yet been confirmed, and further research is needed.
Top Sante
Electrochemical aptasensor based on carbonized eggshell membranes for carbendazim monitoring in aquatic systems
This study presents the development of a cost-effective and sustainable electrochemical aptasensor based on the covalent immobilization of an aptamer on carbonized and oxidized eggshell membranes (CESM-OX) for detecting carbendazim (CBZ) in an aquatic environment. Key experimental conditions were optimized for the sensor's performance, including aptamer concentration, immobilization time, and CBZ recognition time. The aptasensor demonstrated excellent selectivity and stability, achieving a detection limit of 0.686 μg/L in Milli-Q water and 0.400 μg/L in a simulated secondary effluent without standard addition methods. The aptasensor maintained high specificity for CBZ, even in the presence of common interferents such as atrazine, glyphosate, trifluralin, and benomyl. The stability test revealed that the aptasensor maintained consistent performance for up to 7 days when stored at 4 °C, with minimal variation in current response. Validation complex of the aptasensor using real wastewater matrices revealed a strong correlation (Pearson coefficient of 0.9993, relative error lower than 5 %) between the aptasensor and the reference technique, UHPLC, underscoring the aptasensor's high accuracy and reliability. Notably, no pre-treatment of samples was required, making the aptasensor sustainable for application in intensive agricultural areas where the highest concentrations found were 6000 ng/L. The aptasensor utilizes CESM-OX as a base material, offering an eco-friendly alternative by upcycling waste while maintaining sensitivity and stability, even in real complex matrices, which makes the aptasensor a valuable tool for environmental monitoring and detecting contaminants of emerging concern (CECs).
Microchemical Journal
3D-Printed Device Turns Motion Into Power
researchers at Boise State University have developed a TENG that is made with biocompatible and eco-friendly materials. Furthermore, their energy harvesters can be fabricated with just a 3D printer. These factors could make energy harvesting technologies not only more practical, but also easier and less costly for developers to experiment with. The team has created a fully printed TENG using a novel composite ink composed of poly(vinyl butyral-co-vinyl alcohol-co-vinyl acetate) (PVBVA) and Ti₃C₂Tₓ MXene nanosheets. This formulation enables additive manufacturing of high-performance, skin-compatible devices that can be directly integrated into wearables.
hackster.io
A multifunctional robot platform that leverages advanced automation and artificial intelligence to improve the delivery of medical services.
Cobionix, which is developing autonomous systems for the healthcare industry, today said it has closed a $3 million (U.S.) strategic funding round. The company said it will use the investment to commercialize CODI, its multi-functional robotic platform designed to enhance healthcare delivery through advanced automation and artificial intelligence. As part of closing the investment, Cobionix recently moved its headquarters to support the necessary growth for commercialization and manufacturing, maintaining its base in Kitchener, Ontario. The company started as a member of the MassRobotics Healthcare Catalyst program.
The Robot Report
Discovery of anti-obesity effects of new prebiotics: Inhibition of carbohydrate absorption via acetate and intestinal bacterial metabolism
RIKEN Center for Life Science Technologies, Mucosal Systems Research Team: Hiroji Ohno, Team Director; Naoki Takeuchi, Special Researcher (at the time of the study);and a joint research group including Shu Shimamoto, Fellow at Daicel Corporation (Headquarters: Kita-ku, Osaka City; President and CEO: Yasuhiro Sakaki), have revealed that water-soluble acetic acid cellulose (WSCA), a cellulose sample that specifically increases acetic acid in the digestive tract, suppresses carbohydrate absorption from the digestive tract by acting on intestinal bacteria, thereby improving obesity. This research finding is expected to contribute to obesity prevention through foods based on prebiotics [1]. In this study, the collaborative research group administered WSCA to mice and found that it improved obesity, hyperglycemia, and fatty liver, reduced the absorption of simple carbohydrates [2] through changes in the intestinal environment, and decreased carbohydrate storage in the liver. This study was published in the online edition of the scientific journal ‘Cell Metabolism’ on May 16 (Japan Standard Time: May 17).
理化学研究所
Propell partners with Xandar Kardian for contact-free monitoring
Remote patient monitoring specialist Propell has announced a collaboration with Xandar Kardian, a pioneer in radar-based continuous monitoring solutions. The arrangement will offer advanced, contact-free patient monitoring to hospitals and aged care facilities, supporting patient care and staff efficiency. Xandar Kardian’s technology uses radar sensors to provide 24/7 continuous monitoring of vital signs including resting […]
PULSE.IT
Apple Researchers Create an AI Model That Uses Behavioural Data from Wearables to Predict Health Signals
Apple researchers, in collaboration with the University of Southern California, have developed a new artificial intelligence (AI) model that tracks behavioural data over sensor signals. The new research builds on prior work by the Apple Heart and Movement Study (AHMS) and was aimed at understanding if behavioural data, such as sleep pattern and step count, can be a better determinant of a person's health compared to traditional indices such as heart rate and blood oxygen level. As per the paper, the AI model performed surprisingly well, even if with some caveats.
Gadget360