Articles tagged with Medical Technology
Scientists have developed a new approach to analyzing polarization data, offering a more accurate understanding of complex materials. The elliptical vectorial metrics model simplifies the interpretation of polarization information, improving biomedical imaging and material design.
A new study suggests that a simple ECG reading from a smartwatch can accurately estimate a person's age, potentially offering a secure alternative to facial recognition or ID checks. The method achieved an average error of just under three years and accuracy consistently reached between 93 and 96%.
Philip R. Troyk, director of the Pritzker Institute of Biomedical Science and Engineering at Illinois Tech, has been elected as a Fellow of the National Academy of Inventors for his groundbreaking work on neuroprosthetic devices, including an implanted cortical visual prosthesis that provides artificial vision to individuals with profo...
Researchers at TUM have developed a method to boost oxidase biosensor accuracy from 50% to 99%, paving the way for new uses in personalized medicine, AI-driven healthcare, and agriculture. This breakthrough could enable on-site adjustments to fertilization, reducing environmental impact.
Researchers developed a novel bioelectronic material that transforms from a rigid film to a soft, tissue-like interface upon hydration, enabling seamless integration with living tissues. The device, called THIN, has been shown to record biological signals with high fidelity and stability in animal experiments.
Researchers at Penn State are developing a small, durable ventricular assist device (VAD) specifically designed for young children with heart failure. The PSU Child VAD aims to provide long-term support while waiting for a heart transplant, improving quality of life and outcomes.
Researchers analyzed AI methods for detecting pulse rates from facial video recordings and found significant errors at elevated heart rates. The study highlights weaknesses in remote photoplethysmography (rPPG) technique under challenging conditions.
Researchers at Science Tokyo have developed a tunable deterministic lateral displacement (DLD) cell-sorting platform using poly(N-isopropylacrylamide) hydrogel arrays. The device sorts cancer cells of defined sizes from blood samples with high-resolution size-based sorting, offering a promising tool for biomedical applications.
Researchers found that complexity can lead to bias in AI models, highlighting the need for better modeling of real-world complexities, input from diverse groups, and ground truths. By addressing these factors, developers can create more accurate and fair AI systems.
A new study suggests that sweat can reveal information about a person's health, including hormone levels, medication doses, and early detection of diseases like diabetes and cancer. Wearable sensors using artificial intelligence can detect specific metabolites in sweat, providing personalized health insights.
An international team led by Lehigh University researcher Hannah Dailey is building predictive models to understand and eventually prevent bone healing complications. The team aims to incorporate biological differences into the model, using a library of imaging data from Switzerland's AO Research Institute Davos.
Researchers at UBC Okanagan develop an innovative airflow system that captures and removes exhaled aerosols, significantly reducing the probability of infection. The new device outperforms conventional ventilation systems, offering a comfortable and effective solution for indoor spaces.
Researchers developed a noninvasive approach using nasal drops to deliver potent tumor-fighting medicine to the brain, boosting the immune response and eradicating glioblastoma tumors in mice. The nano-sized medicine successfully activated the STING pathway and armed the immune system to fight the cancer.
Researchers at the University of Groningen have developed a new conductive hydrogel that is as soft as the brain, enabling biocompatible electronics. The gel's high sensitivity and flexibility make it ideal for continuous monitoring of vital signs in smart health devices.
A new algorithm developed by researchers at North Carolina State University can optimize the movement of robotic prosthetic devices and help users exhibit a more natural walking pattern. The algorithm improves hip range of motion and reduces lower back pain for all five study participants.
Researchers created a miniaturized replica of carotid arteries using 3D printing, mimicking the geometry and fluid dynamics of human blood vessels. The model revealed that platelet movement is crucial in blood clot formation, and high stress on blood vessels triggers significant platelet activity.
Bairitone Health's anatomic polysomnogram platform uses AI analysis to transform routine sleep studies into a dynamic map of airway behavior. Nidra, authorized by the FDA, treats restless legs syndrome with patented Tonic Motor Activation technology.
Researchers at The University of Osaka have developed a novel Balloon-Assisted Bronchoscope Delivery (BDBD) technique, enabling safe access to small, early-stage lung cancers hidden in the peripheral lung fields. This innovation promises to revolutionize both early diagnosis and minimally invasive treatment.
Research suggests that health apps, wearables, and interactive programs can improve physical activity, diet, and weight outcomes for children and teens. Mobile apps had the greatest impact on diet and weight outcomes, while wearables were most effective for reducing sedentary time.
Researchers identified a 'sweet spot' in clinical decision-making, where presenting two or more appropriate treatment options increases the odds of physicians selecting a high-quality alternative. The study challenges the widely cited status-quo bias theory and suggests that more options can lead to better care decisions.
Researchers developed a novel exoskeleton CASIA-EXO with subject-adaptive control, enabling efficient motor relearning and enhancing neural plasticity. The system uses intention-based trajectory planning and performance-based intervention adaptation to individualize training trajectories and intervention levels.
The partnership designates JMIR Bioinformatics and Biotechnology as the official journal of MCBIOS, ensuring high-visibility publication of cutting-edge bioinformatics research. The agreement also provides benefits such as a discount on article processing fees and virtual education and training for MCBIOS members.
Researchers at The University of Osaka have developed an eco-friendly method to produce highly stable and biocompatible gold nanoparticles using microalgae. This breakthrough enables the creation of safer and more effective cancer therapies with fewer side effects for patients.
A new international study confirms that drug-coated balloons can effectively treat larger narrowed blood vessels, offering a safer alternative to stents. The findings validate the method developed by Professor Bruno Scheller and demonstrate its efficacy in treating arteries with diameters larger than 2.75 mm.
A new study published in the Chinese Neurosurgical Journal explores an AI tool that identifies medulloblastoma subgroups based on magnetic resonance imaging scans. The model achieved impressive accuracy in predicting molecular subtypes and genetic risk factors, with 91% accuracy for TP53 mutations and 87% accuracy for chromosome 11 loss.
The University of Houston is designing robotic hands with dexterity for industries such as healthcare, agriculture, and manufacturing. The team, part of the NSF Convergence Accelerator program, has received $5 million in funding to develop hybrid polymeric materials that can mechanically retract and perform motions like flexion.
A new project led by University of Delaware engineer Michael Hast aims to develop radiation-free imaging techniques that identify problems with bone healing sooner. The team uses 3D computational models and recent advances in magnetic resonance imaging (MRI) to estimate the strength of a healing bone and simulate real-world stresses.
A new, fully degradable cranial clamp made from poly-L-lactic acid has been developed to address traditional fixation system drawbacks. The study compared its performance to Aesculap CranioFix through laboratory tests and a clinical trial involving 90 patients, showing improved safety and healing outcomes.
Researchers developed a scalable method to produce human kidney organoids, combining them with pig kidneys outside the body for transplantation. The transplanted organs functioned normally and showed no signs of damage or toxicity.
A research team provides a framework to support doctors in their patient care while ensuring AI doesn't undermine their expertise. The framework addresses key issues like timing, trust, and over-reliance on AI.
The partnership creates a stable, high-impact venue for MCBIOS members to publish their research, particularly the output from the Society's annual conference. The designation of JMIR Bioinformatics and Biotechnology as the official journal provides maximum visibility for cutting-edge work in bioinformatics and computational biology.
A team of Pitt engineers has created self-powered spinal implant technology capable of transmitting real-time data from inside the body. The innovation utilizes new human-developed composites known as metamaterials to harvest energy and transmit signals wirelessly.
Researchers at FAU Engineering have developed foot-mounted wearable sensors and a 3D depth camera that accurately measure how people walk, even in busy clinical environments. The study findings reveal that these technologies match the accuracy of traditional tools but are more scalable, remote, and cost-effective.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
A Moroccan ICU study shows that the plethysmographic perfusion index can help identify fluid responsiveness in critically ill patients with acute circulatory failure non-invasively. Two-thirds of patients were fluid responders, and PPI correctly identified responders with 70% sensitivity and 82% specificity.
A team of researchers has proposed a novel ultrathin flexible sensor inserted endovascularly to detect Type-I endoleaks with maximum rupture risk. The sensor is robust enough to withstand dynamic processes and exhibits long-term stability and functionality.
A team of researchers developed a battery-free wearable patch that measures bioimpedance to detect skin lesions, distinguishing between healthy and abnormal skin. The patch's effectiveness was tested on 10 volunteers, showing significant differences between healthy and suspicious moles.
A new one-shot federated learning AI technique has been developed to combine privacy protection and efficiency in medical image analysis. The technique increases training data diversity, reduces overfitting, and eliminates unnecessary computation, achieving higher accuracy with fewer computations.
A pioneering eye device has restored reading vision to people with sight loss, allowing them to read letters, numbers, and words through a prosthetic eye. The PRIMA chip operation involves an implant paired with augmented-reality glasses, enabling patients to regain their independence and confidence.
A new virtual reality training task has been developed to help stroke survivors living with visuospatial neglect, a disabling condition affecting attention and awareness of one side of space. The VR task incorporates interactive exercises and audiovisual cues to engage patients and support rehabilitation.
Rebecca Richards-Kortum has been elected to the National Academy of Medicine for her major contributions to global health. She created low-cost, lifesaving technologies for underserved communities, transforming health systems worldwide through her innovations in cervical cancer diagnostics and neonatal care technologies.
Researchers developed DNA-based signaling cascades to report and quantify molecule concentrations in blood, enabling point-of-care devices for optimizing treatment. The breakthrough aids efforts to build affordable and portable devices for monitoring medication levels at home.
The collaboration aims to deliver high-quality, timely care by leveraging the latest imaging systems and AI tools. This will enable more precise diagnoses with shorter wait times, driving effective treatment across all service lines.
New research from the Stowers Institute for Medical Research reveals planarian stem cells ignore their nearest neighbors and respond to signals further away in the body. This discovery may help explain the flatworm's extraordinary ability to regenerate and offer clues for developing new ways to replace or repair tissues in humans.
Researchers aim to create a thin, endoscopic 3D printer that can be inserted into the body to print tissue where it will later perform its function. The new technology has the potential to revolutionize regenerative medicine by allowing for direct printing of biological tissue inside the human body.
Researchers developed a more accurate cough-detection model using wearable health monitors' audio and movement data. The new model can distinguish between coughs and nonverbal sounds, improving the accuracy of respiratory disease tracking.
The MetaGraph digital tool enables fast and accurate searching of vast DNA sequence datasets, streamlining genetic research. By indexing raw data with metadata, researchers can identify specific mutations and rare hereditary diseases in patients, accelerating discoveries in fields like antibiotic resistance.
Researchers use microchips with human tissue to study brain damage caused by sepsis and neurodegenerative diseases, finding that the blood-brain barrier breaks down under stress. The technology also reveals how pericytes support the barrier and may lead to new treatments for preserving or introducing these cells.
Scientists have developed a programmable electronic circuit that harnesses high-frequency electromagnetic waves to perform complex parallel processing at light-speed. This breakthrough has the potential to power next-generation wireless networks, real-time radar, and advanced monitoring in various industries.
A new test delivers results in under an hour without specialized lab equipment, enabling 'screen-and-treat' strategies to save countless lives. The portable, battery-operated device is projected to cost less than $8 each, making it ideal for low-resource settings.
Research shows that remote monitoring of children's asthma can prevent hospitalizations by around 57%. The system helps keep symptoms under control, leading to better outcomes and lasting self-management skills. This innovative approach could revolutionize healthcare services for patients with asthma.
A cross-sectional study found that FDA-cleared AI-enabled medical devices lack standardized efficacy, safety, and risk assessment, highlighting the need for dedicated regulatory pathways and post-market surveillance to address these challenges.
A new study finds that over 50% of small-molecule drug patents this century are connected to NIH-backed research that would likely be cut under a 40% budget reduction. This highlights the significant impact of federally funded research on the development of life-changing medicines.
The PRISM trial will examine the impact of AI on mammogram accuracy and patient experience, with hundreds of thousands of mammograms analyzed. The study aims to understand whether AI enhances cancer detection by radiologists or leads to more false alarms.
Researchers developed a palm-sized, portable multimaterial printer using electrowetting on dielectric technology to print conductive and insulating liquids. The printer allows for on-site fabrication of origami devices with customizable shapes and functions, enabling site-specific sensor deployment in resource-limited environments.
Researchers are exploring bioelectrical impedance technology to monitor neurological diseases like stroke, epilepsy, and brain tumors. The technology captures subtle changes linked to cellular metabolism and pathological processes, enabling clinicians to track disease progression with minimal risk.
A new study shows that remote perioperative monitoring significantly improves recovery for cancer surgery patients, with a 6% greater functional recovery rate by day 14 after surgery. The study also found fewer major complications and improved symptom management.
Researchers developed a fully automated finite element analysis pipeline to transform spine diagnostics and personalized treatment planning. The new approach enables rapid, patient-specific simulations that support preoperative planning, spinal implant optimization, and early detection of degenerative spine conditions.
Researchers have developed an implantable system to stabilize blood pressure in people with spinal cord injuries. The therapy, which involves delivering finely tuned electrical stimulation, has been shown to restore blood pressure stability and prevent life-threatening spikes.
Researchers developed new methods to accurately target the centromedian nucleus for deep brain stimulation in patients with drug-resistant epilepsy. Advanced imaging techniques, such as high-resolution MRI and DTI tractography, improve targeting accuracy by identifying specific brain pathways and neural firing patterns.