DxMedical Cloud™
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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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We deliver what you seek quickly and in a short time from technical information from all over the world
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A wealth of detailed features makes it easy to understand the main points
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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
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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.
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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
Sniffing out hunger: a nose-to-brain connection linked to appetite
A research group at the Max Planck Institute for Metabolism Research has discovered a neural circuit in the mouse brain that triggers a feeling of fullness in response to the smell of food.This circuit connects directly from the nose to the medial septum of the brain, and when it detects the smell of food, it triggers a feeling of fullness. However, in obese mice, this circuit does not activate, and they do not feel full. This discovery could provide new insights into dietary guidance for obesity prevention. Similar neural circuits are believed to exist in the human brain, but their responsiveness remains unclear.
Develop AI-driven control methods for wearable motion assistance robots
Researcher Junichiro Furukawa (at the time) and Visiting Principal Researcher Jun Morimoto of the Human-Machine Collaboration Research Team, Guardian Robot Project, Information Integration Headquarters, RIKEN, have developed an AI-driven control method that generates control commands for a wearable motion assist robot using the wearer's body movement information and first-person view video as input.This method uses a deep learning model to learn the wearer's intentions and the surrounding environment, enabling flexible assistive movements. Experiments confirmed a reduction in muscle activity and suggested generalizability to other individuals. This research was published in ‘npj Robotics’ and is expected to contribute to daily activity support technologies in an aging society.
From COVID to Cancer, At-Home Test Spots Disease With Startling Accuracy
Created by researchers at the University of California, Berkeley, the test combines a natural evaporation process called the “coffee-ring effect” with plasmonics and AI to detect biomarkers of disease with remarkable precision in just minutes.
“This simple yet effective technique can offer highly accurate results in a fraction of the time compared to traditional diagnostic methods,” said Kamyar Behrouzi, who recently completed a Ph.D. in micro-electromechanical systems and nanoengineering at UC Berkeley. “Our work paves the way for more affordable, accessible diagnostics, especially in low-resource settings.”
The technology was developed with the support of seed funding from the CITRIS and Banatao Institute at UC Berkeley and is described in a recent study published in the journal Nature Communications.
In Silico Discovery and Sensory Validation of Umami Peptides in Fermented Sausages: A Study Integrating Deep Learning and Molecular Modeling
Deep learning has great potential in the field of functional peptide prediction. This study combines metagenomics and deep learning to efficiently discover potential umami peptides in fermented sausages. A candidate peptide library was generated using metagenomic data from fermented sausages, an integrated deep learning model was constructed for prediction, and SHAP (SHapley Additive exPlanations) interpretability analysis was performed to elucidate the key amino acid features and contributions of the model in predicting umami peptides, screening the top ten peptides with the highest predicted probability. Subsequently, molecular docking was performed to assess the binding stability of these peptides with the umami receptor T1R1/T1R3, selecting the three peptides DDSMAATGL, DGEEDASM, and DEEEVDI with the most stable binding for further study. Docking analysis revealed the important roles of the key receptor residues Glu301, Arg277, Lys328, and His71 in hydrogen bond formation. Molecular dynamics simulations validated the robust integrity of the peptide–receptor associations. Finally, sensory evaluation demonstrated that these three peptides possessed significant umami characteristics, with low umami thresholds (0.11, 0.37, and 0.44 mg/mL, respectively). This study, based on metagenomics and deep learning, provides a high-throughput strategy for the discovery and validation of functional peptides.
AOK: Large regional differences in the quality of care in nursing homes
According to a survey conducted by the AOK Institute in Germany, there are regional disparities in the quality of care provided in nursing facilities, with particular concerns regarding the long-term prescription of sleep and sedative medications and the lack of eye examinations for diabetic patients. In 2023, 7.14% of facility residents received long-term prescriptions for benzodiazepine-based medications or Z-drugs, with a higher proportion in western Germany compared to eastern Germany.Additionally, 79% of diabetes patients did not receive eye examinations, with the issue being particularly pronounced in some regions of southern Germany. Furthermore, it was found that certain medications increase the risk of falls, resulting in varying rates of hospitalization depending on the region. This survey was based on data from 11 AOK associations and covered approximately 350,000 facility residents.
A pioneer in the field of ultrasound AI, the company has developed the world's first software for detecting deep vein thrombosis.
ThinkSono, a pioneering ultrasound AI company, has built the world's first software for DVT (blood clot) detection. For context, DVT is a leading cause of morbidity and mortality worldwide, and up to 900,000 people in the U.S are affected by DVT each year.
Plastics Recycling With Enzymes Takes a Leap Forward
A successful collaboration involving a trio of research institutions has yielded a road map toward an economically viable process for using enzymes to recycle plastics.
The researchers, from NREL, the University of Massachusetts Lowell, and the University of Portsmouth in England, previously partnered on the biological engineering of improved PETase enzymes that can break down polyethylene terephthalate (PET). With its low manufacturing cost and excellent material properties, PET is used extensively in single-use packaging, soda bottles, and textiles.
The new study combines the previous fundamental research with advanced chemical engineering, process development, and techno-economic analysis to lay the blueprints for enzyme-based PET recycling at industrial scale.
Skin Lipids and Their Influence on Skin Microbiome and Skin Care
Skin lipids are essential components that play crucial roles in maintaining the skin barrier, preventing transepidermal water loss, and protecting against external agents. The specific composition of lipids may vary according to factors, such as age, diet, and environmental conditions. They are found predominantly in the stratum corneum, the outermost layer of the epidermis, with lipids originating from epidermal lipids and also from the sebaceous glands. The diversity of lipids, including ceramides, cholesterol, free fatty acids, sphingolipids, phospholipids, triglycerides, and waxes, reflects the complexity of their functions. Understanding the properties and biosynthesis of skin lipids is fundamental for advancing dermatology, developing treatments for various skin conditions, and maintaining the integrity of the skin barrier. Skin microbiome could affect skin lipid composition, and this topic has yet to be completely understood. This literature review aims to understand the properties of lipids found in the skin, the function and importance of fatty acids for skin maintenance and integrity, and their correlations that influence homeostasis: pH, the role of lipids in the microbiota, and finally, daily care practices that can influence the health of the skin and also the microbiome.
Robot-assisted radical surgery for colorectal cancer
Recently, a new robotic surgery platform, the KangDuo Surgical Robot (KD-SR), has been introduced in China. The KD-SR-01 system integrates an open vision system, enabling surgeons to maintain a natural posture while reducing potential neck strain. The treatment outcomes of the KD-SR system for elderly patients represent a highly significant study in the clinical advancement of colorectal cancer treatment.
Extended reality boccia shows positive rehabilitation effects
A research team at Osaka University of Health and Sport Sciences developed an augmented reality version of this game as a rehabilitation program. The research team investigated changes in the mood of participants aged 65 and older before and after experiencing Boccia XR. No significant differences were observed in lower limb muscle activity in either program.
Overview: Advances in Smart Sensing Technology for Food Safety Detection
This review provides a systematic overview of the innovative applications of smart sensing technologies (optical detection, electrochemical detection, mechanical olfaction/gustation, etc.) in the field of food safety, with a focus on analyzing the core principles and performance optimization strategies for detecting microbial, chemical, and physical hazards.By integrating multi-source sensors with smart computing (such as machine learning and blockchain), this technology enables high-precision, real-time, and non-destructive detection, contributing to the development of a transparent and proactive global food supply chain safety framework.
A contact lens to assist vision in the dark
A research team from the University of Science and Technology of China, Fudan University, and the University of Massachusetts Medical School has developed contact lenses containing nanoparticles that convert infrared light into visible light, enabling users to detect the direction of infrared light even in darkness.In mouse experiments, mice wearing the contact lenses demonstrated behavior that avoided an infrared box, and in human experiments, it was confirmed that participants could recognize infrared flash patterns even with their eyes closed. This technology has potential applications in security, rescue operations, encryption, and counterfeiting prevention.
Novel, Non-Invasive Skin Cancer Detection Method Shows Promise
The combination of optical coherence tomography and Raman spectroscopy achieved 96.9% accuracy in distinguishing melanoma from benign lesions. The five-year survival rate for patients diagnosed at an early stage is 99%. Melanoma tends to be diagnosed based on visual examination by a clinician, and therefore often goes undetected.