
Sonolithography: Using ultrasound for bioprinting
Researchers have found a way to coax particles and droplets into precise patterns using the power of sound.
Researchers have found a way to coax particles and droplets into precise patterns using the power of sound.
Computer scientists use TACC systems to generate synthetic objects for robot training.
Researchers have proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates.
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
CSL's Systems and Networking Research Group (SyNRG) is defining a new sub-area of mobile technology that they call "earable computing."
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 created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
Researchers hope to reduce the risk to healthcare workers posed by Covid-19 by using robots to remotely measure patients’ vital signs.
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
Computer scientists are aiming to speed up treatments and vaccines for COVID-19 — by making researchers’ jobs easier.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Researchers have developed a personalized therapeutic concept that significantly reduces the chances of a patient suffering post-operative complications.
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
Experts have begun using artificial intelligence to create computer models that calculate the risk of a corona patient’s needing intensive care or a ventilator.
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.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
A smart shirt that measures lung function by sensing movements in the chest has proven to be accurate when compared to traditional testing equipment.
Researchers are pushing the boundaries of evolution to create bespoke, miniaturised surgical robots, uniquely matched to individual patient anatomy.
Researchers have developed a groundbreaking AI algorithm that can enable hearing aid users to take a more active part in conversations in noisy environments.
Using machine learning, a group of researchers demonstrated that it was possible to detect dementia from conversations in human-agent interaction.
Researchers developed a new holographic method called in-flight holography. With this method, they were able to demonstrate the first X-ray holograms of nano-sized viruses that were not attached to any surface.
Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".
Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
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 developed clothing that uses special fibers to sense a person's movement via touch.
Scientists at Osaka University employed deep learning to improve mobile mixed reality generation.
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
Researchers have developed a new type of control system that may broaden robots’ range of tasks and allow safer interactions with people.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
Researchers are aiming to improve wearables for medical applications and to enable the portable minicomputers to make more accurate measurements.
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.
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
Using mathematical image processing, scientists have found a way to create digital twins from human hearts.
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Researchers are making key advances with a new type of optical sensor that more closely mimics the human eye’s ability to perceive changes in its visual field.
The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".
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.
High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Scientists developed the world’s first mobile genome sequence analyzer, a new iPhone app called iGenomics.
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"
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
The Shadow Robot Dexterous Hand is a robot hand, with size, shape and movement capabilities similar to those of a human hand.
Electric-powered ‘aero-ambulances’ that safely transport emergency patients from rural and regional areas to hospitals will become a reality in the next few years.
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
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 developed an AI-powered forecasting tool for predicting influenza outbreaks.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Virtual reality software which allows researchers to 'walk' inside and analyse individual cells could be used to develop new treatments for disease.
A new algorithm that fast forwards simulations could bring greater use ability to current and near-term quantum computers.
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
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 developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
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.
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.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
Researchers at Duke University have engineered a workaround to make ventilators safer and more efficient when splitting them between patients.
Scientists have developed a wearable device that can accurately assess blood loss by measuring seismic vibrations in the chest cavity.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
Researchers have developed an AI technique that will protect medical devices from malicious operating instructions in a cyberattack.
Researchers developed a new measurement method to test whether an exoskeleton and the person wearing it are moving smoothly and in harmony.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Researchers have developed robotic prosthetic legs which use motors that were originally designed for use on the robotic arm of the ISS.
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.
Computer science students designed an Android application, which helps to identify the signs of sleep apnea at home.
Scientists have developed a way of using laser-sintering of powdered sugars to produce highly detailed structures that mimick the body’s intricate, branching blood vessels in lab-grown tissues.
Designed by a team at the NYU Tandon School of Engineering and an institute of the Max Planck Society, the four-legged, dog-sized, torque-controlled Solo 8 robot can easily be replicated by research labs around the world.
A device capable of automatically disinfecting common surfaces could be a vital tool in virus and disease mitigation during and after the COVID-19 pandemic.
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Surfaces contaminated with SARS-CoV-2 pose a grave threat to the safety of staff and patients. To minimize the risks for their staff, hospitals are utilizing disinfection robots to sanitize surfaces.
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 way to use smartphone images of a person's eyelids to assess blood hemoglobin levels, a protein in red blood cells.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Researchers have developed a predictive artificial intelligence model that can tell the difference between healthy patients, those who are ill with pneumonia and those who have COVID-19, from chest X-rays.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
Researchers developed an AI system that analyzes linguistic patterns to predict a youth’s risk for committing acts of school violence.
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
The future of socially distanced lung and heart health monitoring could lie in an inconspicuous yet incredibly sensitive chip.
A ‘pandemic drone’ to remotely monitor and detect people with infectious respiratory conditions is being developed.
Researchers at Stevens Institute of Technology have developed an AI-powered, smart insole that instantly turns any shoe into a portable gait-analysis laboratory.
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
AI techniques, used in combination with the evaluation of expert radiologists, improve the accuracy in detecting cancer using mammograms.
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 computer model which predicts the neuronal activation patterns that the cochlear implant creates in the auditory nerve fibers.
A psychological theory could kickstart improvements in the way robots are able to walk, thanks to a study at the University of Manchester.
Researchers have tapped faint, latent signals from arm nerves and amplified them to enable real-time, intuitive, finger-level control of a robotic hand.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Researchers use machine learning to developing a rapid test that requires only a drop of blood to diagnose asthma.
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
Physicians have been using automatic digital retinal screening, without assistance from an ophthalmologist, to detect diabetic retinal disease.
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
Researchers have developed machine learning algorithms that, combined with wearable sensors, can continuously track tremor severity in Parkinson's patients.
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
A 4-limb robotic system controlled by brain signals helped a tetraplegic man to move his arms and walk using a ceiling-mounted harness for balance.
Sensitive synthetic skin enables robots to sense their own bodies and surroundings – a crucial capability if they are to be in close contact with people.
Researchers have developed a new smart speaker skill that lets a device use white noise to monitor sleeping babies breathing and movement.
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
Scientists have successfully tested neuroprosthetic technology that combines robotic control with users’ voluntary control, opening avenues in the new interdisciplinary field of shared control for neuroprosthetic technologies.
New research has provided preliminary evidence that training time can be shortened & that user performance tends to improve within a relatively short period of time.
Researchers have developed a technology to help clinicians "see" and map patient pain in real-time, through special augmented reality glasses.
Researchers at the University of Washington have developed a new tool to monitor people for cardiac arrest while they’re asleep without touching them.
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.
The Open-Source Bionic Leg will enable investigators to efficiently solve challenges associated with controlling bionic legs across a range of activities in the lab and out in the community.
Researchers encoded their specialized knowledge into the computer game Foldit to enable citizen scientists to successfully design synthetic proteins for the first time.
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.
Researchers have demonstrated that their technique can stop the catheter at the right target and identify the source type with a 95.25 percent success rate.
Researchers have created a new app that can detect fluid behind the eardrum by simply using a piece of paper and a smartphone’s microphone and speaker.
Numerous initiatives using robots for improving mental health already exist. However, the use of embodied AI in psychiatry poses ethical questions.
Scientists have now developed a new type of biomaterial that could help the healing of injuries, especially of severed nerve tracts.
A state-of-the-art brain-machine interface created by UC San Francisco neuroscientists can generate natural-sounding synthetic speech by using brain activity to control a virtual vocal tract – an anatomically detailed computer simulation including the lips, jaw, tongue and larynx.
An AI approach can identify with high accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.
Researchers have developed a new design method that shows promise in enabling the efficient design and fabrication of soft robots using a 3D printer.
Researchers have created new AI software that can identify cardiac rhythm devices in x-rays more accurately and quickly than current methods.
A video recording of an infant lying in bed can be analyzed with artificial intelligence to extract quantitative information useful for assessing the child’s development as well as the efficacy of ongoing therapy.
Eye surgery is a delicate and precise process. A new simulation platform based on augmented reality allows surgeons to practice surgical procedures on a virtual model in three dimensions.
Researchers have built a set of magnetic ‘tweezers’ that can position a nano-scale bead inside a human cell in three dimensions with unprecedented precision.
Researchers are working on a smartphone app that could help diagnose autism in minutes – and provide ongoing therapy as well, all with fewer visits to specialized clinics.
Patients could soon get faster and more accurate diagnoses with new software that can automatically detect signs of diabetes, heart disease and cancer from medical images.
A machine learning algorithm was able to sort children with arthritis into distinct categories based on their patterns of inflamed joints in the body in a way that was also predictive of disease outcome.
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Scientists have developed a soft wearable hand robot that can aid the hand-disabled by using machine learning algorithm and sensory hardware.
Researchers have developed an intelligent system for "tuning" powered prosthetic knees, allowing patients to walk comfortably with the prosthetic device in minutes.
Researchers have developed an app that uses sonar to monitor someone's breathing rate and sense when an opioid overdose has occurred.
Doctors could get a head start treating cancer thanks to new AI developed at the University of Surrey that is able to predict symptoms and their severity throughout the course of a patient’s treatment.
Researchers have developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.
UCLA-led team produces images on a laptop that match the quality of those from high-end equipment.
SubtlePET’s AI-powered technology allows hospitals and imaging centers to enhance images from faster scans leading to an improved patient experience during imaging procedures.
Medical software that overlays tumour information from MRI scans onto ultrasound images can help guide surgeons conducting biopsies and improve prostate cancer detection.
Augmented reality technology gives objects "voices," enabling a vision-impaired person to hear what is in their surroundings.
Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at RSNA.
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
Scientists have developed a miniaturized electronic platform for the stimulation and recording of peripheral nerve fibers-on-a-chip.
Researchers are working on an interactive robot called Pharos that will help the elderly with their daily household chores.
Neuroscience researchers University of Chicago receive $3.4 million NIH grant to develop brain-controlled prosthetic limbs.
An engineer is leading a team of researchers, health care providers and industry to fast-track the commercialization of a groundbreaking robotic rehabilitation system.
Scientists have developed machine learning algorithms that can predict yeast metabolism from its protein content.
Researchers use augmented reality tools to connect health care professionals in war zones, natural disasters and in rural areas with more experienced surgeons and physicians around the world.
A team at the University of Auckland's Bioengineering Institute has created a virtual 3D heart that could have a major impact on treatment of the most common heart rhythm disturbance, atrial fibrillation (AF).
An artificial intelligence approach created at the University of North Carolina at Chapel Hill can teach itself to design new drug molecules from scratch.
Researchers from the University of Toronto use machine learning to create computer generated X-rays that augment AI training sets, which could improve the speed and accuracy of medical diagnostics.
Scientists have used machine learning to improve the performance of prosthetic hands. The researchers said the findings, could spark a "new generation of prosthetic limbs.
A study of an iPhone app to screen young children for signs of autism has found that the app is easy to use, welcomed by caregivers and good at producing reliable scientific data.
Engineers built a 3D printer that produces a delicate network of thin ribbons of hardened isomalt, the type of sugar alcohol used to make throat lozenges.
Researcher have developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.