Articles tagged with Medical Technology
A new imaging technology at UH helps scientists study exosomes, tiny particles released by human cells that may be targets for diseases. The technology uses advanced lighting at the nanoscale to analyze exosomes one at a time, measuring features to pinpoint good drug targets.
A new portable ultrasound system enhances breast cancer detection with high-resolution, 3D images. The device requires no expertise to operate and can be used at home for early diagnosis and long-term monitoring.
Researchers have discovered that advanced brain interfacing technology used for both touch and vision prostheses is almost identical, despite being developed separately. This breakthrough could lead to faster restoration of lost senses, including sight and motor function, with a unified technology that benefits both patient groups.
New research reveals that asthma attacks cause overproduction of extracellular proteins and growth of blood vessels in the airways. Over time, these changes lead to constriction of breathing passages, resulting in long-term respiratory issues.
Hanyang University researchers developed AI-guided microneedle patches that actively change shape at physiological temperature to help close wounds while delivering regenerative therapy and antibacterial protection. The platform accelerates wound closure and improves tissue regeneration compared with conventional approaches.
Spine surgeons find 3D-printed models helpful for complex cases, enabling better understanding of anatomical variations. The technology facilitates improved patient communication, with tangible models allowing physicians to explain procedures in detail.
Researchers developed biohybrid magnetic microbots from natural microalgae to overcome drug penetration limitations in bladder cancer treatment. The technology increased drug delivery by over ten times compared to standard treatment methods, reducing tumour burden and improving treatment effectiveness.
A recent study comparing AI's diagnostic reasoning to physicians shows promising results, but limitations exist due to lack of non-text inputs. Digital fatigue is a growing concern among healthcare workers, affecting their productivity and well-being.
Researchers developed a privacy-preserving AI model to protect sensitive ECG data, reducing exposure of traits like age and demographics. The PP-VAE approach retains clinically useful information while minimizing personal attribute disclosure.
A team of MIT engineers has created a tiny ingestible sensor that can measure temperature from within the body, offering continuous monitoring for patients who are sick or at risk of hypothermia. The device is small enough to be easily ingested and can provide accurate temperature readings with an accuracy of 0.01 degrees Celsius.
A new study published in Advanced Science shows that a programmable device can close complex wounds quickly, improving wound healing. The device uses customizable force to adapt to different wound shapes, promoting blood flow, nutrient delivery, and reduced scarring.
MIT researchers have developed low-cost, 3D-printed triaxial electrospray emitters that efficiently produce three-layered particles at scale. The devices can be used to manufacture time-release drug-delivery nanoparticles with potential applications in biosensors and tissue regeneration.
A study by DZNE shows that smartphone-based memory tests can detect subtle cognitive decline in people with mild cognitive impairment (MCI) more quickly than conventional testing. This approach has the potential to accelerate clinical trials for new dementia drugs and be used in routine care.
Old Dominion University has launched a National Security Institute to accelerate research and technology solutions for pressing national security challenges. The institute will bring together researchers' strengths in AI, autonomy, and coastal systems to deliver innovative solutions.
A new study by Karolinska Institutet shows that daily smartphone-based heart rhythm monitoring can reduce same-day cardioversion cancellations by 94.7% and save significant healthcare resources. The method, called CORAI, uses photoplethysmography to measure small changes in blood flow, allowing for accurate heart rhythm assessment.
A new set of consensus standards for classification, annotation, and quality control is being implemented for artificial intelligence applications in dry eye imaging. These standards aim to enhance consistency and multicenter collaboration in AI-assisted diagnosis.
Researchers at MIT have created a pacemaker that uses ultrasound technology to stimulate the heart, offering a potential surgery-free alternative to traditional cardiac implants. The device is designed as a small sticker that sends ultrasound pulses through the chest to regulate heart contractions and correct arrhythmias.
PrecizionIQ is a health technology startup using high-resolution mass spectrometry and AI to detect chromosomal abnormalities in early pregnancy. The company aims to make prenatal testing more accurate, affordable, and accessible.
A University of Michigan research team is exploring the development of knee exoskeletons to reduce joint contact forces and relieve osteoarthritis pain. Preliminary testing suggests that these orthotic brace-based exos and drone-style motors could provide significant relief.
The emergence of consumer wearable platforms in the clinical healthcare space is transforming patient care. With AI-driven interpretation of physiological data, these platforms can detect health changes before users do, influencing treatment decisions and specialist referrals. However, this shift raises significant regulatory risks due...
Researchers developed a nanofiber drug delivery system that uses electrospun fiber membranes to deliver multiple drugs in concert, demonstrating improved efficacy against glioblastoma. The system enables localized long-term delivery of drugs directly at the tumor site after surgery.
A new study found that a smartwatch application accurately detected tonic-clonic seizures in people with epilepsy, with a low rate of false alarms. The app had an overall sensitivity of 98% and was associated with fewer false alarms compared to other devices.
3D printed anatomical models are being used to improve surgical outcomes in complex and delicate structures. Medical 3D printing technologies also create highly personalized implants and prostheses, supporting better surgical outcomes and post-operative results.
The Lancet MedZero provides comprehensive carbon analytics across healthcare products, enabling evidence-based decision-making for hospitals and health systems. The platform aims to reduce waste, improve patient care, and tackle climate change, with over 14,000 entries at launch.
Researchers found that smoking substantially stiffens human lung parenchyma, making breathing progressively difficult. The study provides detailed mechanical data for human lungs, which may improve ventilator design and surgical planning tools.
Researchers developed a new class of stretchy bioelectronics that can stick to biological tissue and relieve hypertension while causing less damage to surrounding tissue. The CaroFlex device uses gentle electrical frequencies to modulate the baroreceptor reflex, providing effective treatment for drug-resistant hypertension.
This section explores how recognizing sex as a biological variable and gender as a sociocultural construct can lead to more precise computational models and safer medical technologies. The aim is to foster an equitable and effective biomedical engineering field where technologies meet the needs of all populations.
A new study by Technische Universität Berlin reveals that teaching Large Language Models to mimic human intuition and reasoning improves their ability to provide accurate medical care-seeking advice. The 'human reasoning blueprint' approach increased overall accuracy across all models, with significant gains in self-care advice.
Researchers explore how next-gen AI and sensor-rich operating rooms can enable more precise, data-driven, personalized surgery. Advances in multimodal data integration, machine learning, and robotic systems could enhance situational awareness and intraoperative decision-making.
Experts warn that AI-enhanced surgical robotics could enable true personalized surgery and enhance surgical team performance. However, regulatory reforms are needed to address risks from adaptive systems and ensure patient benefits.
Researchers have developed a new class of biodegradable, all-metal microrobots that can penetrate tissue and deliver medications without causing damage. These microrobots demonstrate both strength and safety in testing on mice, paving the way for potential applications in drug delivery and biopsy procedures.
Researchers at McGill University have developed a rapid way to engineer blood clots that stop severe bleeding and support tissue healing more effectively. The technique, called 'click clotting,' links red blood cell surface proteins through a chemical reaction, resulting in a biocompatible clot.
Researchers developed an AI tool that analyzes routine electronic health records to predict ADHD risk in children years before a typical diagnosis. The model accurately identified risk in children age 5 and older, with consistent performance across patient characteristics.
MIT researchers have developed an ultra-efficient microchip that can bring post-quantum cryptography techniques to wireless biomedical devices. The chip includes built-in protections against physical hacking attempts and is more than an order of magnitude more energy-efficient than prior designs.
Researchers mapped how Sox9 guides cartilage formation in mouse embryonic limbs, finding that it dynamically targets different genes depending on developmental timing and cell type. The study provides a foundation for understanding skeletal development and may contribute to future research on bone and cartilage diseases.
Researchers at Saarland University are developing smart implants that can continuously monitor and visualize the healing process of fractures. These customized implants can dynamically adapt to the healing process by becoming stiffer or more compliant as required, promoting bone regeneration through micromechanical stimulation.
Researchers created a new polymer electrode that conforms to the skin, is comfortable, and can pick up ECG signals without gel or adhesives. The technology performed comparably to existing sensors in proof-of-concept testing, showcasing its potential for practical and cost-effective health monitoring applications.
Researchers have developed a rapid colour-changing test to distinguish between different strains of golden staph, including those likely to be virulent and antibiotic resistant. The test uses nanozymes and short DNA molecular binders to create unique 'fingerprints' that can help separate high-risk strains from others.
High-resolution CT scans provide detailed images of mummified human remains, enabling accurate age determination and diagnosis of conditions such as osteoporosis. The analysis also sheds light on the mummification process and potential facial reconstructions of skulls.
The center offers state-of-the-art facilities for practical skills acquisition, digital technologies integration, and innovation in medical procedures. Future physicians will benefit from cadaver training, real-time imaging, and collaborative research opportunities.
Researchers have combined ion pumps with click-to-release chemistry to enable precise electronic control of drug release for a broader range of therapeutics. This technology allows for targeted local therapy with lower doses, reducing side effects.
A new clinical trial at the University of Cincinnati is testing a peptide solution to treat prosthetic joint infections after total knee replacement. The trial aims to reduce the need for repeat surgeries and expand the treatment window beyond two weeks.
Researchers at Terasaki Institute for Biomedical Innovation develop a smart contact lens that monitors intraocular pressure in real time and delivers treatment. The technology has shown promising results in preclinical models and aims to improve quality of life for patients with ocular diseases.
A team of researchers has achieved a major milestone in developing a new treatment aimed at helping the body repair damaged joints at the source. The experimental treatments have shown promising results in animal models, restoring joint tissue to near-normal levels and significantly reducing pain markers for long periods.
Researchers developed a compact AI model that reasons through chemistry logic, outperforming larger models on critical tasks. The Liquid Foundation Model achieves state-of-the-art success rates in molecular optimization and ADMET superiority.
A new AI chatbot helps patients access retinal detachment advice through personalized, real-time, clinically grounded conversations. The system outperformed leading large language models and includes accessibility features for people with low vision or limited English proficiency.
Researchers at University of Michigan Engineering and Michigan Medicine used protein nanoparticles to genetically modify several types of human cells, including liver cancer and immune cells. The goal is to develop a safer method for delivering gene therapies without using modified viruses.
A study found that dentists have a higher prevalence of vision-related problems due to prolonged exposure to artificial lighting. Chronic dental lighting caused retinal damage, disruption of the blood-retinal barrier, and inflammation, ultimately impairing visual health.
Dr. Yangzhi Zhu has been awarded a prestigious Career Development Award from the American Heart Association to support his research in translational biosensing and organ health assessment. The award aims to develop innovative sensing strategies for improving donor organ condition and supporting better clinical care.
Researchers from the University of Tokyo successfully developed a high-pressure freezing method that reduces CPA concentration to 20-30% and improves cell viability and metabolic activity. The method holds promise for cryopreservation in regenerative medicine research, with potential applications in drug testing and cell transplantation.
Researchers developed Neuronal Type Assignment from Connectivity (NTAC) to accurately assign neuronal cell types based on synaptic wiring patterns. NTAC outperformed traditional morphology-based approaches in identifying neuron types, especially in complex brain regions.
Researchers at Chalmers University of Technology successfully decoded leg movements directly from remaining nerves in people with above-knee amputations. This technology opens the way to future prostheses that feel and act like a natural part of the body, providing users with more control and sensory feedback.
A new smartphone app has been shown to significantly improve sex life and delay ejaculation in men with premature ejaculation. The app, developed by urologists and psychologists, teaches men therapeutic techniques and exercises to manage arousal and control ejaculation.
Researchers create living tissue at near-physiological cell density using a new bioprinting strategy called embedded 3D printing in a cell-dense suspension (EPICS). The method enables the precise fabrication of perfusable channels and dense cellular environments, mimicking real organs.
Researchers identify three types of post-amputation pain: phantom limb pain, residual limb pain, and musculoskeletal pain, which behave differently and require personalized care. The study's findings suggest that prosthetic design can directly influence comfort during real-world movement, improving mobility and quality of life for indi...
A comprehensive review synthesizes the science behind vagus nerve modulation therapies, which use controlled signals to influence brain circuits and inflammation. The authors identify key mechanisms and propose next-generation treatments tailored to individual patients and conditions.
New Jersey Institute of Technology researchers are developing AI-powered solutions to analyze prosthetic limb data and reduce skin issues in veterans. The AI system aims to improve comfort and reduce complications in patients with lower limb loss.
A new machine learning model interprets leg motion as expended energy, providing a more accurate measure of calories burned. The device has been shown to have double the accuracy of commercial smartwatches and activity trackers.
A study by University of Texas at Dallas bioengineers found that both cancerous and noncancerous colon tissue from young patients with colorectal cancer was mechanically stiffer than in older patients. This stiffness may promote the development of early-onset colorectal cancer, a condition rising over the past 30 years.
A global scoping review found significant variations in the testing of AI tools in health clinics, with concerns over lack of clear guidelines. Researchers emphasize the need for comprehensive silent trials to assess AI models in real-world settings.