Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
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By drawing in a bit of sweat, a patch developed in the lab of Alberto Salleo can reveal how much cortisol a person is producing. Cortisol is known as the stress hormone but is involved in many important physiological functions.
Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Researchers used robots to study how our brains adjust to changes in our walking strides, gaining insights that could be used to develop better physical rehabilitation programs.
Robotic device acts as a cane-like mobile assistant to provide light-touch to help the elderly and others with impaired mobility.
Researchers are developing an app and wearable technology to enable pregnant women to use a smartphone to detect whether they have a condition that could lead to serious health complications for them or their unborn child.
Scientists have created a new triboelectric fabric that generates electricity from the movement of the body while remaining flexible and breathable.
The wearable devices aim to reduce or redistribute spine loading associated with heavy manual work.
A versatile composite fabric can deactivate both biological threats and chemical threats.
The use of blockchain technology as a communication tool for a team of robots could provide security and safeguard against deception.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
The benefits people could reap from exoskeletons rely heavily on having time to train with the device.
Engineers have successfully developed and validated the feasibility of blockchain-based technologies for secure, confidential sharing of patient medical records.
The number of individuals with COVID-19 in the community was a significant factor associated with stress in health care workers over time.
Researchers have developed a method to integrate sensing capabilities into 3D printable structures comprised of repetitive cells.
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.
A convection-enhanced macroencapsulation device offers the potential of faster and more effective treatment for people with type 1 diabetes.
Resеarchers have created аrtificial "e-whiskers" which mimic thе prоpеrties of thе reаl thing.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Researchers have used machine learning to help reconstruct three-dimensional micro-CT images of fibrous materials.
Researchers have produced a low-cost device to detect SARS-CoV-2 with biosensors.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
A wearable brain-machine interface system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome.
Engineers have unveiled an air-powered computer memory that can be used to control soft robots. It overcomes the problem of the mismatch between pneumatics and electronics.
The MasSpec Pen has shown to accurately identify tissues and surgical margins directly in patients and differentiate healthy and cancerous tissue from banked pancreas samples.
New research could help surgeons perform liver resections with greater accuracy and deliver improved patient outcomes.
Chatbots hold promise for dementia patient or caregiver support, but are still in their infancy, new research finds. None of the interactive digital apps tested performed well on all testing criteria.
New research on Olfactory Virtual Reality (OVR) paints a clearer picture for clinical psychiatrists about how it could be used to safely and effectively help mental health and mood disorders.
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
Progressive Mechanoporation makes it possible to mechanically disrupt the membranes of cells for a short time period and let drugs or genes inside cells.
X-ray vision, context-sensitive guidance, coordinator, training assistant and more: augmented reality (AR) has hit the OR.
MIT researchers have built an ingestible sensor equipped with genetically engineered bacteria that can diagnose bleeding in the stomach or other gastrointestinal problems.
Scientists have figured out how to modify CRISPR’s basic architecture to extend its reach beyond the genome and into what’s known as the epigenome.
Engineers have created a tiny wireless implant that can provide real-time measurements of tissue oxygen levels deep underneath the skin.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Professor Dr Henning Windhagen is a great fan of semi-automatic systems in the OR that help with implants but leave the surgeon in the driver’s seat.
Researchers have created a machine learning model that helps identify bipolar disorder at earlier stages.
Researchers have created life forms that self-assemble a body from single cells and do not require muscle cells to move. They're faster, live longer, and can now record information.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
Researchers have developed a structurally representative liver-on-a-chip model which mimics the full progression sequence of NAFLD.
Researchers have tested a sensor for measuring hydrogen peroxide concentrations near cell membranes. The sensor has the potential to become a tool for new cancer therapies.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
Machine learning has detected one of the commonest causes of dementia and stroke, in CT brain scans, more accurately than current methods.
Researchers have explored whether a virtual reality program on mindfulness/meditation could alleviate the physical side effects of hemodialysis patients.
Researchers have now developed and optimised a process for the isolation and purification of magnetic nanoparticles from bacterial cells.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Researchers have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
Researchers have developed a flexible and stretchable wireless sensing system designed to be comfortably worn in the mouth to measure the amount of sodium a person consumes.
A system that uses flexible, breathable magnetic skin allows people with severe quadriplegia to move around and choose their surroundings.
Researchers have used lasers and molecular tethers to create perfectly patterned platforms for tissue engineering.
Professor Dr Peter Pott and his team turn to 3D printers to successfully realize his vision of “high end at low cost” medical devices.
Engineers have create a robot that learns to visually predict how its partner robot will behave, displaying a glimmer of empathy.
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing."
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
A device could help scientists better understand the health benefits of outdoor lighting and lead to wearables that could nudge users to get more outdoor time.
Scientists have designed a hydrogel membrane that may be used to house optical glucose sensing materials toward building a biosensor for monitoring sugar levels in diabetics.
Researchers have shown that gait training using robotic exoskeletons improved motor function in adolescents and young adults with acquired brain injury.
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
If Alzheimer's dementia is identified early, the decline in neural functioning can be stabilized or even curtailed in some cases.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
Results of the first clinical trial of 3D printed NP swabs for COVID-19 testing are being presented at the annual meeting RSNA.
The supplier sector will showcase its expertise and innovative high-tech solutions for the medical technology industry.
Researchers have shown that they can measure those effects of the Corona pandemic on mental health by analyzing the language that people use to express their anxiety online.
Researchers have created fundamental electronic building blocks out of tiny structures known as quantum dots and used them to assemble functional logic circuits.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Scientists have developed a next generation wound dressing that can detect infection and improve healing in burns, skin grafts and chronic wounds.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
Scientists have developed a bioelectronic system driven by a machine learning algorithm that can shift the membrane voltage in living cells and maintain it at a set point for 10 hours.
Using a device that could be built with a dollar's worth of open-source parts and a 3D-printed case, researchers want to help the hundreds of millions of older people worldwide who can't afford existing hearing aids to address their age-related hearing loss.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
One of the crucial future technologies in surgery is Augmented Reality. Most experts agree that AR will increase safety and efficiency, improve surgical training and decrease costs.
Researchers have developed a surgical robot that improves precision and control of teleoperated surgical procedures.
Scientists from Empa were able to 3D print stable well-shaped microstructures made from silica aerogels for use in biotechnology and precision engineering.
Engineers have demonstrated that drug levels inside the body can be tracked in real time using a custom smartwatch that analyzes the chemicals found in sweat.
European Commission put forward a set of measures to increase the availability of data in the EU, building on previous initiatives to boost the free flow of non-personal data in the Digital Single Market. A key factor is to ensure securing citizens' healthcare data while fostering European cooperation
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
Researchers have developed robotic prosthetic legs which use motors that were originally designed for use on the robotic arm of the ISS.
Researchers caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Using VR to make threats appear near or far is what makes it harder to extinguish the fear of a close-up threat and more likely that you’ll have some long-term stress from the experience.
Engineers have designed a thin adhesive film that could upgrade a consumer smartwatch into a powerful health monitoring system.
Nanoengineers plan to develop an immunotherapy for ovarian cancer using 3D-bioprinted plant virus nanoparticles.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
Researchers developed a device that can monitor bladder volume in real time and effectively empty the bladder.
3D printing fuels efforts to rapidly increase ventilator capacity while providing each patient on vent support with individually tailored gas pressures and pressure monitoring.
A robot is helping maximize the life of some of the most critical personal protective equipment, or PPE, at a time when the surge of demand for such items has aggravated a national shortage.
In order for a COVID-19 vaccine and antiviral drugs to be developed, scientists first need to understand why this virus spreads so easily and quickly, and why it invades our bodies with seemingly little resistance from our immune system.
Penn State engineers say computational power is key to technology for smart bandages, health tattoos and artificial organs.
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
A new line of wearable robotics - a lightweight version of the armor that comic hero Iron Man wears - could keep seniors on their feet longer.
Robocath announced it has successfully completed six robotic coronary angioplasties with R-One, a first for the continent of Africa.
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Bioengineering students program smartphone to guide patients who ‘freeze’ while walking.
Researchers have discovered that a population of neurons in the brain’s frontal lobe contain stable short-term memory information within dynamically-changing neural activity.
RoSE is first device to measure 3D stiffness of human torso, could lead to new treatments for children with spine deformities such as idiopathic scoliosis and kyphosis.
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
Researchers report that among patients with obesity, robotic kidney transplants produce survival outcomes comparable to those seen among nonobese patients.