A study by University of Minnesota researchers found that personalized federated learning may offer an opportunity to develop both internal and externally validated algorithms. This technique enables multiple parties to train AI models collaboratively without exchanging or centralizing data sets, protecting sensitive medical informatio...
A new injectable hydrogel has been developed with enhanced shear-thinning properties, improved cellular biocompatibility, and significantly reduced clotting times. The biomaterial was created by adding sodium phytate to a gelatin-based compound, promoting even greater cohesion and triggering the initiation of blood coagulation.
The DiaQNOS project aims to develop quantum sensors for improved brain tumor surgery. Magnetic field sensors will refine neuronavigation, enabling more precise incision paths. Researchers from Mainz University and partners will create a device suitable for use in surgery.
A new microscopy system using optical tapered fibers has successfully acquired images of photoacoustic signals without contrast agents. The resolution is sufficient for cellular imaging, including red blood cells, with a resolution of 1.0 ± 0.3 micrometers.
A study published in The Lancet Ebiomedicine found that HIV patients who used an ingestible sensor system had better antiretroviral therapy adherence and lower viral loads. The research, led by Dr. Eric Daar, showed the technology to be effective in monitoring medication adherence.
The American Heart Association statement highlights telehealth's benefits in managing cardiovascular disease, including cost-effectiveness and improved rehabilitation. However, challenges like access to broadband internet and privacy security concerns hinder widespread adoption.
The Wyss Center's ABILITY system, a fully implantable brain-computer interface, records neural activity in sheep with high accuracy, decoding fine movement intention from small brain areas. The device is designed to improve quality of life and independence for people with severe paralysis.
Researchers found that patients who received automated text messages from their primary care team after discharge had a significant decrease in hospital readmission (55%) and emergency care use (41%) compared to those who did not receive the texts. This study adds to evidence that connecting with patients through text messaging can hel...
A new AI technology has been developed to automatically diagnose lung diseases such as tuberculosis and pneumonia, freeing up radiographers and reducing waiting times for test results. The system, which uses X-ray imaging and deep learning algorithms, achieved a 98% accuracy rate during extensive testing.
UCR researchers find that modern ventilators overextend certain regions of the lungs, causing stress and damage, unlike natural breathing. They propose a new thick-walled model to better understand pulmonary mechanics and improve ventilation strategies.
Research found a hospital code response team arrives at least one minute quicker and leads to better patient outcomes with smartphone emergency code notification systems. The study used a secure texting system that connected with electronic medical records, reducing conventional methods' average delay of 78 seconds.
An AI-based model has been developed to assist radiologists in detecting and identifying leadless implanted electronic devices (LLIEDs) on chest X-ray images. The model achieved high detection and classification accuracy, even with suboptimal image quality, and showed promise for real-world deployment.
A new type of pacemaker that uses precise targeting capabilities to bypass pain receptors and reduce patient discomfort is being developed. The device, which uses light and optogenetics, could improve the quality of life for millions of people affected by atrial fibrillation.
Researchers at the University of New South Wales have developed optrodes that can measure neural activity using light, potentially revolutionizing medical technologies like nerve-operated prosthetics. The new approach addresses long-standing issues with impedance mismatch and crosstalk, paving the way for more complex neural networks.
The Beckman Institute has established a new national collaborative Biomedical Technology Research Resource to develop label-free optical imaging technologies. The center aims to create optical and computational imaging technologies that can serve as a resource for clinicians and researchers.
A new project aims to create more race-inclusive AI in medicine by developing a distributed, inclusive data collection and learning framework that relies on smartphone apps. The framework uses federated learning, which allows models to be trained on device data while protecting user privacy.
A study published at the European Emergency Medicine Congress found that a digital technology platform called HealthCall can reduce emergency department attendances for residents in care homes. The system provides staff with easy access to clinical advice and has been shown to result in a 10% reduction in expected monthly attendances.
A new study found that using digital technology in care homes can reduce emergency department attendances by 10% each month. The HealthCall app provides staff with easy access to clinical advice, allowing for more targeted care and reduced hospital admissions.
Interdisciplinary researchers at the Beckman Institute have received a four-year, $2M award from the National Institutes of Health to develop a device that can instantly enable real-time 3D ultrasound imaging. The device, named FASTER, is designed to improve high-quality medical imaging accessibility in diverse communities.
Developing a new technology for preventing catheter obstructions in patients with hydrocephaly has been successfully demonstrated in a European project. Concentrating ultrasound waves can detach materials from the inside of shunts implanted in the brains of patients, enabling preventive cleaning without affecting other areas.
A joint research team developed the world's first 'ultrasound-induced tissue transparency' technology, enabling deeper observation of biological tissues. The technology increased the maximum imaging depth of optical imaging modalities like confocal fluorescence microscopy by six times.
Researchers developed a generatively designed patient-specific bone fixation device using Generative Design technology. The implants are tailored to each patient's anatomy and biomechanical needs, resulting in lighter, less prominent, and minimally invasive designs that promote faster healing and reduced revision surgery.
Researchers are working on a regulatory science tool based on biomarker data to assess the efficacy of rehabilitative devices for post-stroke motor recovery. The project aims to shed light on how neurological markers can demystify complex neural communication patterns in patients.
LSU Health New Orleans has been awarded $4.6 million to develop a Burn Prehospital Provider Program, which will provide education and training for military and civilian healthcare providers in different environments. The program aims to improve burn injury care before patients reach a hospital.
Scientists at Shinshu University created an ultrathin fiber-mesh thermistor that improves the performance of wearable medical sensors. The new technology provides overheat protection, gas-permeability, and transparency, making it suitable for on-skin or implantable devices.
Researchers from Xi'an Jiaotong-Liverpool University found that brain stimulation combined with a nose spray containing nanoparticles can improve recovery after ischemic stroke. The treatment increased cognitive and motor functions, and weighed more quickly than those treated with TMS alone.
Researchers have developed an injectable shear-thinning hydrogel that exhibits enhanced cohesive strength, resisting fragmentation even under pulsating liquid flows. The gel, similar to toothpaste, retains its structure when force is removed, making it a potential breakthrough in treating critical vascular conditions.
Researchers at POSTECH have developed a method to engineer organs at scale using bioprinting, overcoming previous limitations of small tissue size and functional complexity. This innovation holds promise for personalized treatment of patients with the potential to create more realistic engineered organs.
The Georgia Institute of Technology team has developed low-cost, painless, and bloodless tattoos that can be self-administered using microneedle patches containing tattoo ink. These tattoos have various applications, including medical alerts, tracking neutered animals, and cosmetics.
A study by NTU Singapore found that people have lower trust in health interventions suggested by AI alone, compared to those they perceive as based on human expert opinion. Emphasizing the involvement of a human health expert can improve acceptance and effectiveness of AI-suggested preventive care measures.
A University of Colorado Anschutz Medical Campus faculty member has received a DOD grant to study noninvasive biomarkers for vascularized composite allograft rejection. The goal is to develop a simple saliva test to monitor patients for signs of graft rejection, reducing the need for frequent biopsies.
The 7th International Meeting of the Digital Olfaction Society will take place in Tokyo, Japan, with a focus on digitalizing smells and aromas. The meeting aims to gather researchers, academics, and industry professionals to share knowledge and develop practical applications for olfactory digitization.
A research consortium is developing a unique fully implantable Brain-Computer Interface (BCI) system for people with locked-in syndrome, enabling real-time speech decoding and communication. The BCI will be powered wirelessly and capable of decoding speech in real-time to restore communication in patients with ALS or brainstem stroke.
The TCT MedTech Innovation Forum is an intensive summit bringing together clinicians, entrepreneurs, investors, and regulators to identify clinical challenges and drive innovation in medtech. The agenda features interdisciplinary perspectives on unmet clinical needs, financing, regulatory policy, and evolving healthcare delivery models.
Researchers from UMass Amherst have created a tiny sensor that can simultaneously measure electrical and mechanical cellular responses in cardiac tissue. This breakthrough device has the potential to lead-edge applications in cardiac-disease experiments and improve health monitoring for cardiac disease studies.
Researchers developed a digital health system approach to enhance clinical decision-making for low-back pain sufferers. The system combines self-reported pain measures with precise motion-sensing data, revealing functional improvements only after six months of surgery.
Researchers have found that children with autism show significant differences in their pupillary light reflexes, which can be used as a potential screening biomarker. The study demonstrates the parameters of interest that matter for detecting autism and validates earlier findings using monocular technology.
Researchers tested a core-strengthening program using the AllCore360º to improve trunk function, balance, and mobility after stroke. The study showed promising effects on functional outcomes, including improved lateral control of posture and standardized treatment dosage.
Scientists have developed a smart contact lens that can capture and detect exosomes, nanometer-sized vesicles found in bodily secretions, which hold promise for cancer diagnostics. The lens was designed to bind to antibodies capturing exosomes found in tears, offering a potential platform for non-invasive cancer screening.
Researchers discovered that brain-robot interfaces can reroute motor pathways around damaged areas in stroke patients, allowing for improved hand function and control. This breakthrough technology uses proprioceptive feedback to enhance communication between the brain and muscles.
Researchers have developed a low-cost, spongy electrode made from a sugar cube template, offering improved signal detection and reduced noise. The device's micropores provide increased contact area with the skin, enabling it to monitor uterine contractions and other health issues with high quality.
Researchers at Washington University in St. Louis developed a new imaging tool that uses optical coherence tomography (OCT) and machine learning to detect and classify cancerous tissue samples with high accuracy. The technique, which was tested on patients in a trial, showed a 93% diagnostic accuracy rate.
A new AI-based dynamic brain imaging technology has been introduced by Carnegie Mellon University, which can map out rapidly changing electrical activity in the brain with high precision and speed. The technology uses deep learning approaches to translate scalp EEG signals back to neural circuit activity without human intervention.
The new ultrasound sticker uses a stretchy adhesive layer and rigid array of transducers to produce higher resolution images over a longer duration. It has potential applications in clinical diagnosis and could be made into wearable imaging products that patients can take home or buy at a pharmacy.
Researchers at NTU Singapore and Cuprina have developed a new clinical-grade collagen made from discarded bullfrog skin, which is leapfrogging from the lab bench to clinics soon. This sustainable innovation aims to reduce waste and provide an affordable yet effective wound-care solution.
A Nagoya University research group has developed an AI algorithm that can diagnose idiopathic pulmonary fibrosis with high accuracy, based on non-invasive examinations and medical data. The technology may revolutionize medical care by allowing doctors to request AI-assisted diagnoses instead of specialists.
A Dartmouth-led research team will assess the effectiveness of visit information provided to older adult patients and caregivers in improving quality of life. The CHRONICLE Trial aims to determine whether audio recordings or written summaries are more effective in sharing healthcare visit information.
Gwangju Institute of Science and Technology researchers have developed a rabbit-scale three-dimensional magnetic particle imaging system that can scan large volumes at high resolution. The system uses amplitude modulation to minimize peripheral nerve stimulation while maintaining high image quality.
Researchers found that night-shift workers experience disrupted sleep quality and circadian rhythms, even after years of night shift work. Their study, published in eBioMedicine, used wearable tech to monitor 140 workers, revealing a significant impact on health.
Researchers from the University of Gothenburg found that assessing melanoma thickness is challenging for both human dermatologists and machine-learning algorithms. Despite differences in success rates, both groups achieved comparable results when evaluating dermoscopic images, highlighting the need for further study to improve diagnost...
The International Vaccine Institute (IVI) has launched a two-week training course for biologics development and manufacturing, targeting low- and middle-income countries. The program aims to enhance local production of vaccines and biologics in LMICs to address vaccine inequity and global pandemic preparedness.
Researchers from Rice University, Duke University, Brown University and Baylor College of Medicine developed a magnetic technology to wirelessly control neural circuits in fruit flies. They used genetic engineering to express heat-sensitive ion channels in neurons that control the behavior, and iron nanoparticles to activate the channels.
Researchers from University Hospitals developed a transfusion appropriateness algorithm to analyze blood transfusions for adult patients. The algorithm led to a decrease in transfusions and an increase in appropriate use, resulting in cost savings of $2.5 million over 12 months.
The TCT MedTech Innovation Forum brings together clinicians, entrepreneurs, investors, payors, and regulators to identify clinical challenges and opportunities for innovation in cardiovascular care. The forum aims to shape the future of patient care through informed discussion and real-world insight.
Researchers at Saarland University are developing orthopaedic implants that can actively stimulate bone healing by undergoing controlled micromotions. These innovative implants, which use shape-memory wires, can provide real-time information on fracture progression and identify potential complications.
Researchers created a wearable sensor that can measure biomarkers and substances using Raman spectroscopy. The sensor is robust and sensitive, with potential applications in glucose monitoring and virus detection.
Researchers at the University of Pittsburgh have developed self-powered smart implants that can monitor spinal fusion healing in real-time. The implants use a new class of multifunctional mechanical metamaterials to record pressure and stresses, generating their own power and providing crucial information about the healing process.
Researchers from NYU Abu Dhabi have developed a simple yet effective approach for on-demand tactile sensing in minimally-invasive surgery. The Smart Laparoscopic Forceps (SLF) system measures grasping force and angle, providing surgeons with relative stiffness index of tissue to help with decision-making during operations.
University of Missouri researchers develop wearable smart bioelectronic devices, including a 'smart' face mask that can monitor physiological status and detect respiratory problems. The masks also use laser-assisted fabrication to provide breathable soft electronics for better real-time health monitoring.
New technology measures peak velocity of blood flow in the heart accurately, helping doctors diagnose and monitor patients with heart failure. The 4D heart MRI scan provides precise imaging of the heart valves and flow inside the heart, enabling better treatment planning.