Articles tagged with Medical Technology
A multi-institutional team is creating innovative technologies to reduce complications associated with left ventricular assist devices (LVADs), including infection, thrombosis, stroke, and bleeding. The new LVAD will deliver a physiological response to changes in the recipient's activity levels using a 'smart' Maglev drive technology.
Researchers at the University of Rochester are developing a multimodal, non-invasive method to study the brain's physiology and reduce neurological issues associated with ECMO therapy. The technique uses electroencephalography, diffuse correlation spectroscopy, and evoked potentials to monitor blood flow and neural activity in the brain.
A new study published in the Journal of Medical Internet Research found that sexual minority adults are more willing to use digital health tools for screening and tracking compared to heterosexual adults. The study, which analyzed data from a COVID-19 survey, highlights the need for diverse populations to be considered in the developme...
Research highlights significant security, privacy and safety issues in female-oriented technologies, including period-tracker apps and fertility smart devices. The study found inadequate regulations and industry practices in data collection and sharing, posing a potential threat to users' sensitive information.
A Tohoku University team studied deep learning models for diagnosing drowning and found discrepancies between model results and medical experts' observations. The study highlights the need for new training methods that align AI model internals with human expertise.
A new study led by the University of Surrey found that live video streaming from trauma incidents to emergency medical services using smartphones is feasible to implement and evaluate. The technology could aid decision-making about dispatching the right personnel and vehicles to major trauma incidents.
A new AI system is being developed to provide real-time feedback and instruction for surgical trainees, addressing the need for constant supervision in laparoscopic surgery. The system uses computer vision model to detect the student's actions and provides immediate assessment and training direction.
A UCF-developed technology uses a plasmonic platform to detect the chirality of molecules with high precision, enabling more accurate drug development and therapies. The platform improves upon current methods with sensitivity nearly 13 orders of magnitude greater.
Researchers at the University of Manchester have developed new methods to simulate blood flow, enabling faster and more accurate modeling of vascular diseases. These advancements have the potential to transform medical treatment and device innovation, providing real-time insights during surgical procedures and improving patient outcomes.
A new method uses digital DNA melting analysis to detect pathogens in blood samples, producing results in under six hours and reducing false positives compared to traditional blood cultures. This technology has the potential to save lives by accurately diagnosing sepsis, a leading cause of death worldwide.
Researchers create a simple method to instantly bond layers made of the same or different types of hydrogels using a thin film of chitosan. The new approach has potential to broadly advance new biomaterials solutions for multiple unmet clinical needs, including regenerative medicine and surgical care.
Researchers developed customized adhesive patches using mussel-derived proteins, exhibiting strong underwater adhesion, biocompatibility, and adjustable degradation time. These patches showed successful treatment in animal models, paving the way for personalized medical applications.
Researchers developed a faster test for mpox using CRISPR and nanopore sensing technology, which can detect the virus in 32-55 minutes, compared to hours of current lab testing. The test is specific to mpox and was confirmed not to detect other viruses.
University of Melbourne researchers have received a $35 million grant to develop a world-first tissue engineered cornea to treat corneal blindness. The technology has the potential to provide corneal tissue to surgeons worldwide, including countries with limited eye banks.
A team of researchers from Harvard and Texas developed a soft implantable device with dozens of sensors to record single-neuron activity stably for months. The device uses fluorinated elastomers and is 10,000 times softer than conventional flexible probes.
Researchers at Duke University developed an adaptive deep brain stimulation therapy for Parkinson's disease, targeting two key brain structures and using a novel self-adjusting device. The study found that this approach improved motor symptoms and reduced medication doses in six patients.
The BETTER project, led by Dr. Sergei Sokolovski, will develop a secure data sharing system for multi-source health data analysis, overcoming GDPR challenges and enabling healthcare professionals to compare and integrate data securely at lower costs.
Researchers have developed EGNITE, a novel class of flexible, high-resolution, high-precision graphene-based implantable neurotechnology. Preclinical studies demonstrated the technology's capacity to record high-fidelity neural signals and afford precise nerve modulation.
Researchers develop injectable hydrogel electrodes for treating ventricular arrhythmia, providing a potential solution to painful defibrillation and improving quality of life. The novel pacing modality addresses the pathophysiology of re-entrant arrhythmia and offers a promising alternative to existing therapies.
The University of Rochester is establishing a new NIH-funded center focused on developing FDA-qualified drug development tools related to barrier functions in disease. Researchers will create microphysiological systems with ultrathin membranes of human cells, aiming to reduce animal trials and improve drug efficacy.
A research team developed electrostatic materials capable of responding to weak ultrasound, generating static electricity for implantable neurological stimulators. The technology eliminates the need for batteries, reduces device size, and minimizes strain on the human body. Experimental validation confirms its effectiveness in animal m...
The researchers designed a capsule about the size of a multivitamin, powered by a small battery, which vibrates to activate mechanoreceptors in the stomach. This activation stimulates hormone release patterns similar to those following a meal, reducing food intake and slowing weight gain by 40 percent.
A study of 70 autistic youths in psychiatric hospitals found wearable biosensing and machine learning can identify impending aggressive behaviors. The findings suggest a potential for developing adaptive intervention systems to prevent aggression.
A world-first brain stimulation treatment is being developed to treat symptoms of Parkinson's disease and epilepsy using ultrasound technology. The endovascular focused ultrasound technique could significantly improve the quality of life for thousands of people living with neurological diseases.
Researchers have discovered that brain cells sense continuous motion caused by everyday bodily functions, leading to friction and inflammation around implanted devices. Anti-inflammation approaches, such as coating implants with soft gels, could help prevent damage and increase device lifespan.
Researchers have developed a spinal cord stimulation technology that restores sensation, improves function, and reduces phantom limb pain after trans-tibial amputation. The study showed significant improvements in balance control and gait stability, with an average 70% reduction in phantom limb pain.
A new technique for photon detection has been developed by UCF researcher Debashis Chanda, offering ultra-sensitive detection at room temperature. The method uses a phase-change material to modulate the frequency of an oscillating circuit, paving the way for low-cost, high-efficiency uncooled infrared detectors and imaging systems.
Scientists at ETH Zurich successfully navigate gas-filled microbubbles through the brain's blood vessels using ultrasound, offering a potential breakthrough in delivering medications to specific areas. This technology could revolutionize treatments for cancer, stroke, and neurological conditions.
A new study on wearable health monitors reveals that a failure to understand race leads to flawed technology, exacerbating existing racial health inequities. The researchers found significant challenges with 'race correction' in health technologies, which assumes biology over system racism.
Researchers at the University of Arizona developed a low-power wide area network (LPWAN) system that enables wearables to transmit health data long distances without cell coverage. The system, called biosymbiotic, has the potential to improve remote monitoring in underserved communities and make digital medicine more accessible
Researchers create new methods to visualize and understand samples with increased accuracy and sensitivity. The development of photothermal microscopy, also known as VIP microscopy, enables scientists to probe specific chemical bonds in a specimen, allowing them to map molecules at low concentrations without dye labeling.
A new vaccine patch has delivered an effective immune response to Zika virus in mice, providing rapid protection against the disease. The patch, which uses a high-density microarray platform, targets a specific protein crucial to the virus's survival and evokes T-cell responses up to 270% higher than traditional vaccines.
Disrupted health care markets have changed the creation, provision, and consumption of health care. Marketing strategies need to account for new producers, providers, and consumers. The editorial calls for a research agenda outlining opportunities for marketing scholars to examine the impact of disrupted exchanges on consumer welfare.
A recent study published in Annals of Family Medicine explores how technology is changing medical practice, including the use of AI-driven tools to effectively diagnose patients. The study also examines the interplay between fulfillment of basic psychological needs at work and technology use in maintaining clinician well-being.
A research team at Iowa State University is developing a 'placenta-on-a-chip' model to study substance transport across the placental barrier. The project aims to integrate sensing platforms and imaging technology to advance personalized medicine and commercialization.
Researchers at RCSI University of Medicine and Health Sciences have developed a material that can speed up bone healing while reducing the risk of infections. The implant combines antimicrobial treatment with gene therapies to repair bone and prevent infection.
Researchers at Wayne State University aim to extend the lifespan of infusion pumps and injection ports to minimize tissue damage and maintain site integrity. The project seeks to reduce inflammation and fibrosis caused by insulin phenolic preservatives, leading to improved diabetes management practices.
A new framework for using AI in healthcare considers medical knowledge, practices, and procedures to improve patient care. The proposed framework provides practical guidance for designers, funders, and users on how to integrate AI systems with the greatest potential to help patients.
The University of Hong Kong has developed an innovative 'AI virtual patients' diagnostic application that leverages generative AI technology to provide personalized patient cases for medical students. This initiative enhances professional skills, improves patient history-taking accuracy, and addresses geographical barriers in medical e...
A systematic review of air filtration systems found little evidence to support their effectiveness in reducing the risk of viral infections. The study analyzed 32 studies and found no strong evidence that air treatment technologies can protect people from catching airborne respiratory or gastrointestinal infections.
A novel robotic system developed by USC researchers can help clinicians accurately assess a patient's rehabilitation progress. The method generates an 'arm nonuse' metric using machine learning and a socially assistive robot to track how much a patient is using their weaker arm spontaneously.
Researchers at CSU and the University of St. Andrews created an effective antimicrobial material that slowly releases nitric oxide, killing bacteria and fungus over time.
The POLINA project will develop new materials and technologies for medical applications, aiming to revolutionize bioprinting for safer, smarter and affordable medical devices. The project will create micropatterned cell surface models to help study lung diseases and design new tracheal implants.
Researchers developed a handheld, wireless biosensor to detect Alzheimer's and Parkinson's biomarkers from saliva and urine samples. The device has shown high accuracy comparable to existing state-of-the-art methods.
Researchers introduced a cost-effective solution to correct tilt and curvature errors in two-photon polymerization 3D printing. The method uses Fourier scatterometry, which offers lower uncertainties than traditional methods, resulting in improved image quality and precision.
Researchers at Xi'an Jiaotong-Liverpool University have developed a sensitive and robust pH sensor that can detect pH variation in just a few microliters of samples. The new sensor uses novel materials and methods to overcome the current method's limitations, which are not sensitive enough or fragile for commercial-scale use.
The LoCKAmp device uses lab-on-a-chip technology to detect Covid-19 and other pathogens in just three minutes, providing rapid and accurate results. The device has the potential to be used in remote healthcare settings and could also detect conditions like cancer.
The Center for Innovation and Translation of POC Technologies for Equitable Cancer Care will prioritize development of POC tests for oral, cervical and gastrointestinal cancers. CITEC's goal is to identify needed technologies, accelerate their development, evaluate their performance in diverse settings.
Researchers developed 'acoustic touch' smart glasses that translate visual information into distinct sound icons, enhancing the ability of blind or low-vision individuals to navigate their surroundings. The technology significantly improved object recognition and reaching abilities, empowering independence and quality of life.
A French team of researchers has developed a method to produce stable polystyrene dispersions with unprecedentedly large and uniform particle sizes. The team used light-driven processes, overcoming the previous 300-nanometer ceiling limit of UV and blue-light-based photopolymerization systems.
Researchers used dynamic total-body PET scans to visualize immune T cell distribution in recovering patients. The study found increased concentrations of CD8+ T cells in the bone marrow of recovering COVID patients compared to healthy controls.
The Center for Advancing Point of Care Technologies (CAPCaT) has received a five-year, $8.9 million award from the NIH to develop innovative point-of-care health technologies. The program aims to address heart, lung, blood and sleep disorders in underserved populations.
The WVU School of Medicine and Benjamin M. Statler College of Engineering and Mineral Resources will support clinical trials and engineering technology development. The project aims to improve care and rehabilitation for people with neurological disorders through novel physician-engineer programs and human research.
A simple MRI scan and a new metric for prostatic urethra length may help identify men at risk of chronic urinary side effects after radiation therapy. The study found that longer prostatic urethras are associated with a higher likelihood of these symptoms, which can impact quality of life.
Researchers developed robotic prosthetic ankles controlled by nerve impulses, allowing amputees to move more naturally and improving stability. The study found that users were significantly more stable when using the robotic prototype, changing their postural control strategy and mimicking the body's behavior.
A proposed AI-centric medical curriculum aims to educate future healthcare practitioners in digital technology, with a focus on technical concepts, validation, ethics, and appraisal. The curriculum caters to varying student levels, from consumers to developers, promoting interprofessional collaboration and adaptable learning.
Researchers developed an AI tool that can detect valvular heart disease with 93% sensitivity and 98% specificity. The tool analyzes audio data from a short burst of sound vibrations using a contact microphone and neural networks, allowing for quick identification of five different valvular diseases.
A Singaporean study found that unvaccinated COVID-19 survivors are at a heightened risk of heart complications almost a year after recovery. The study revealed a 56% higher risk of developing new heart complications among unvaccinated survivors compared to uninfected individuals.
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
Researchers at Northwestern University developed Lattice, a device that simulates human disease in multiple organs to analyze interactions and test new drugs. The technology can replicate complex disease processes, allowing scientists to study the effects of obesity on endometrial cancer, for example.