
Quantum sensors for next-gen brain-computer interfaces
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Garmin and University of Kansas Medical Center are collaborating to better understand how wearables can assist in the detection and management of significant medical conditions.
Virtual reality platform brings new experiences and fond memories to aging adults in nursing homes.
Robotic body-weight support devices can play a key role in helping people with neurological disorders to improve their walking.
Bioengineers have developed biocompatible generators that create electrical pulses when compressed by body motions.
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
A study shows that wearable sensor technology can be used to reliably assess the occurrence of myoclonic jerks in patients with epilepsy also in the home environment.
Experts at Kessler Foundation led the first pilot randomized controlled trial of robotic-exoskeleton assisted exercise rehabilitation effects on mobility, cognition, and brain connectivity in people with substantial MS-related disability.
Researchers have developed a new material that can facilitate a near-perfect merger between machines and the human body for diagnostics and treatment.
Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.
Researchers have wirelessly recorded the brain activity of patients living with Parkinson's disease and then used that information to adjust the stimulation delivered by an implanted device.
Researchers have demonstrated MRI compatibility in their soft electrode arrays – a crucial step in translation to the clinic.
A small, wearable heart monitor can detect atrial fibrillation in high-risk patients ten times more frequently than standard tests.
Researchers are creating a smart port to the brain that will use artificial intelligence to selectively stimulate tissue regrowth and seizure intervention.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current.
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
Researchers have developed a robotic exoskeleton that improves the lives of people with limited or no ability to move due to neurological and/or physiological disorders.
The way humans interpret behavior of AI-endowed artificial agents, such as humanoid robots, depends on specific individual attitudes that can be detected from neural activity.
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Researchers have been putting virtual reality rehabilitation for stroke survivors to the test and created a gaming platform to improve their lives.
Researchers have developed an innovative training protocol that, utilizing immersive virtual reality (IVR), leads to real physical and cognitive benefits.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
New electrode technology and AI analytics solve challenges in neurological emergency, acute and intensive care medicine.
Computer science students designed an Android application, which helps to identify the signs of sleep apnea at home.
Next-generation brain implants with more than a thousand electrodes can survive for more than six years.
Engineers are working on developing soft, flexible neural implants that can gently conform to the brain’s contours and monitor activity over longer periods.
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
Researchers have tapped AI techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.
Researchers have developed a smart jumpsuit, or a garment that accurately measures the spontaneous and voluntary movement of infants from the age of five months.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
The first Parkinson's patient worldwide was treated with a new neurostimulator, which enables better, more personalized care for patients.
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.
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
Bioengineers have found a way to create stretchy and squeezy soft sensing devices by bonding rubber to electrical components.
Researchers have created biosensor technology that may help lead to safe stem cell therapies for treating Parkinson’s diseases.
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
Researchers have developed a tiny nanolaser that can function inside of living tissues without harming them.
Scientists used artificial intelligence to examine neural activity throughout the brain while study participants processed emotions.
Sweating for science: researcher uses sweat monitors to predict behavioral issues in adolescents severely affected with autism.
Researchers are developing a device that can sense the effects of a potentially fatal level of ingested opioids and deliver a life-saving dose of naloxone.
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Researchers have developed a new microrobot that can precisely deliver therapeutic cells to very specific parts of the brain.
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.
Children with autism improved measurably on a test of socialization and learning when their therapy included an at-home intervention with Google Glass.
Playing games in virtual reality could be a key tool in treating people with neurological disorders such as autism, schizophrenia and Parkinson’s disease.
Scientists have developed a new tool that can screen children for fetal alcohol spectrum disorder (FASD) quickly and affordably.
Researchers say virtual reality could have real long-term benefits for people, particularly children, gripped by scary dreams.
A new 'brain training' game improves users' concentration. Scientists say this could provide a welcome antidote to the daily distractions that we face in a busy world.
A new prototype for wearable tremor suppression gloves has researchers believing real change is on the way for the more than 6 million people in the world afflicted by Parkinson’s disease.
Smaller than an M&M and thinner than a credit card, device can optimize treatment of neonatal jaundice, skin diseases, seasonal affective disorder and reduce risk of sunburns and skin cancer.
Mobile Brain/Body Imaging system combines virtual reality, brain monitoring, and motion capture technology for researchers to study neurological disorders.
Using machine learning, a group of researchers demonstrated that it was possible to detect dementia from conversations in human-agent interaction.
MIT neuroscientists have devised a way to measure dopamine in the brain. Tiny probes could be useful for monitoring patients with Parkinson’s and other diseases.
Study pinpoints four brain-guided dimensions of psychopathology — mood, psychosis, fear, and disruptive behavior in youth.