A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
Researchers have used graphene to detect the SARS-CoV-2 virus in laboratory experiments. It could be a breakthrough in coronavirus detection, with potential applications in the fight against COVID-19 and its variants.
Researchers have proposed that wearable devices could be used to develop a network of health data about a patient, allowing for early diagnosis of COVID-19, even when the patient is asymptomatic.
Engineers have developed a skin patch that can continuously track blood pressure and heart rate while measuring the wearer’s levels of glucose as well as lactate.
How fast could SARS-CoV-2 be detected? Researchers have developed an accurate, high-speed, and portable detector for COVID-19.
An advanced nanomaterial-based biosensing platform detects antibodies specific to SARS-CoV-2 within seconds.
By analyzing Fitbit data and self-reported symptoms, researchers analyzed trends in heart rate, step count, and symptom duration between patients with flu and those with COVID-19.
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
A key symptom of COVID-19 – oxygen saturation – is now being estimated remotely from a camera, thanks to research from University of South Australia (UniSA).
Researchers at Rice University have developed a microneedle patch that can rapidly detect the presence of malaria in interstitial fluid.
A new machine learning–based online tool allows for early detection of COVID-19 outbreaks in different U.S. counties.
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
Researchers have developed a way of using nothing but graphite pencils and office paper to create highly functional bioelectronic devices.
Researchers caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
Researchers concluded that Bluetooth technology is ideal for detecting possible COVID-19 cases through smartphone contact tracing.
Researchers show chatbots could play a key role in helping people with issues around their health and wellbeing.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.
Scientists have developed a novel test swab that can be 3D printed using inexpensive, widely available materials and speedily assembled in a range of fabrication settings.
Scientists plan to use high-tech biometric sensors for 24-hour monitoring of COVID-19 patients in home isolation.
Thai hospitals are deploying "ninja robots" to measure fevers and protect the health of overburdened medical workers on the frontlines of the outbreak.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
The number of individuals with COVID-19 in the community was a significant factor associated with stress in health care workers over time.
More than 20 hospitals from across the world together with NVIDIA have used AI to predict Covid patients’ oxygen needs on a global scale.
The future of vaccines may look more like eating a salad than getting a shot in the arm.
Researchers are replicating the subtle folding of origami to create 3D printable technologies to aid in the fight against COVID-19.
Researchers studied whether hanging out with conversational agents, such as Alexa or Siri, could affect the way children communicate with their fellow humans.
Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.
Realistic mini-lungs, grown in lab dishes, feature all cell types that make up the human organ, allowing for “Phase 0” testing of new treatments for respiratory diseases.
Researchers are using virtual reality to understand the impact of moral distress on healthcare workers during the pandemic.
Researchers studied the mental health barriers which promote or prevent people from engaging with physical activity apps during the initial COVID-19 lockdown in 2020.
Engineers have designed a device that can detect SARS-CoV-2 from a saliva sample in about an hour. They showed that the diagnostic is just as accurate as the PCR tests now used.
A student from the Loughborough University has designed "SERVITA'- a small, compact drone for individuals who are in aquatic distress.
The number of gamified mobile applications is rising rapidly—especially in healthcare. This article illustrates how gamification is employed in diabetes care.
Satellite-enabled drones have accelerated the provision of life-saving medical supplies at NHS hospitals in Scotland, boosting the country's efforts to combat COVID-19.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
Being immersed in a stunning 'virtual' Icelandic landscape can reduce the pain caused by uncomfortable medical procedures.
Engineers have designed a novel face mask that can diagnose the wearer with Covid-19 within about 90 minutes.
Random passersby got the opportunity to try a new virtual reality game, when researchers visited a park to test the efficiency of VR technology within health information.
Research using machine learning on images of everyday items is improving the accuracy and speed of detecting respiratory diseases, reducing the need for specialist medical expertise.
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
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 neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
Biological engineers have demonstrated a way to easily retrieve data files stored as DNA. This could be a step toward using DNA archives to store enormous quantities of photos, images, and other digital content.
The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s first mission is to identify and test drugs against Covid-19.
Researchers discovered that AI models have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
Scientists have been receiving help with vital coronavirus research from an unlikely team of data analysts—players of the popular online computer game EVE Online.
The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).
Researchers have developped a new coronavirus test, that can get accurate results from a saliva sample in less than 30 minutes.
A filter made from polymer nanothreads blew three kinds of commercial masks out of the water by capturing 99.9% of coronavirus aerosols in an experiment.
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days.
A new 3D printing technique that extends the possibilities of lateral flow testing. With the printing technique, advanced diagnostic tests can be produced that are quick, cheap, and easy to use.
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 are investigating how virtual reality technology could help improve balance and prevent falls.
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
Scientists report preliminary results on a sweat sensor that acts as an early warning system for an impending cytokine storm, which could help doctors more effectively treat patients.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
A new device consisting of a 3D-printed wristband can remotely monitor patients' vital signs, such as body temperature, oxygen saturation, pulse, and respiratory rate.
The lung is rather challenging to create artificially for experimental use due to its complex structure and thinness. Researchers have succeeded in producing an artificial lung model using 3D printing.
Clinicians using a new viral screening test can not only diagnose Covid-19 in a matter of minutes with a portable, pocket-sized machine, but can also simultaneously test for other viruses.
According to researchers at Indiana University, digital twins could lead to more proactive and personalized medicine.
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.
A study finds patients are receptive to interacting with robots designed to evaluate symptoms in a contact-free way.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
COVID-19 can be diagnosed in 55 minutes or less with the help of programmed magnetic nanobeads and a diagnostic tool that plugs into an off-the-shelf cellphone.
The Covid-19 pandemic highlights how remote healthcare robots currently being developed could be beneficial in the future.
Researchers have developed an antiviral material made from copper, silver and tungsten which can be 3D printed and kills the Covid-19 virus.
Sharing information about the expected effect of a health app before its use and providing positive feedback regarding its effectiveness after its use have the potential to strengthen the placebo effect.
Engineers have developed a wearable sensing chip that can measure the concentration of cortisol – the stress hormone – in human sweat.
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
Wearable devices can identify COVID-19 cases earlier than traditional diagnostic methods and can help track and improve management of the disease.
Researchers are developing an oxygen-sensing patch printed on a flexible, disposable bandage that could enable remote monitoring for the early detection of illnesses.
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 are developing a COVID-19 testing method that uses a smartphone microscope to analyze saliva samples and deliver results in about 10 minutes.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
By downscaling the needles tool to micrometer-size, researchers open even more areas of application for them, while bypassing some of the most important issues.
Researchers are developing a color-changing test strip that can be stuck on a mask and used to detect SARS-CoV-2 in a user’s breath or saliva.
Engineers have developed a microneedle patch that can be applied to the skin, capture a biomarker of interest and, thanks to its unprecedented sensitivity, allow clinicians to detect its presence.
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
We should err on the side of caution and stop the global roll out of 5G telecoms networks until we are certain this technology is completely safe.
An inexpensive yet highly sensitive wearable sensor holds promise for detecting early COVID-19 symptoms and monitoring heart disease.
Covid-19 gave many of these predictions for 2020 an entirely new spin: while some of the hyped trends turned out to play only bit-parts others became box-office hits in the new normal.
Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.
The new device can continuously sense levels of virtually any protein or molecule in the blood. The researchers say it could be transformative for disease detection, patient monitoring and biomedical research.
Scientists have developed a technique that monitors a patient’s vital signs completely touch free.
Researchers have developed a smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.
An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
A smart ring that generates continuous temperature data may foreshadow COVID-19, even in cases when infection is not suspected.
Researchers have developed a rapid, ultrasensitive test using a paper-based electrochemical sensor that can detect the presence of the virus in less than five minutes.
Researchers have examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
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.
Researchers are developing solutions designed to enable the analysis of breath gas to assist with the diagnosis of disease.
A tiny new silicon-based lab-on-chip test could pave the way for cheap handheld infectious disease testing.
The open-source system from the 3D printer delivers high-resolution images like commercial microscopes at hundreds of times the price.
The world’s first bioactive plant-based nanocellulose hydrogel supports organoid growth and helps reduce the costs of studies into cancer and COVID-19.
The quantum sensing abilities of nanodiamonds can be used to improve the sensitivity of paper-based diagnostic tests, potentially allowing for earlier detection of diseases such as HIV.
Results of the first clinical trial of 3D printed NP swabs for COVID-19 testing are being presented at the annual meeting RSNA.
Scientists have demonstrated a VR technique which should help in developing drugs against the SARS-CoV-2 virus – and enable researchers to share models and collaborate in new ways.
Researchers have developed a method for two individuals to share an avatar in Virtual Reality.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
With soaring demand for point-of-care testing (POCT), microfluidics has been a pivotal resource as COVID-19 swept across the world.
Graphene has a vast variety of practical applications in the creation of new materials. But what exactly is graphene and what makes it so special?
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 developed an AI-powered forecasting tool for predicting influenza outbreaks.
A new portable arm rehabilitation robot will help patients to carry out robot-aided therapy at home, allowing them to perform intensive exercises without visiting hospitals or clinics.
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Scientists have created synthetic soft surfaces with tongue-like textures for the first time using 3D printing.
Scientists have developed an extremely rapid diagnostic test that detects and identifies viruses in less than five minutes.
Rapid detection of the SARS-CoV-2 virus, in about 30 seconds following the test, has had successful preliminary results.
As COVID-19 quickly spread worldwide at the beginning of the year, an urgent need has risen worldwide for specialized health and medical products such as the nasal swabs to collect viral samples or PPE.
Researchers have printed wearable sensors directly on human skin without the use of heat.
Researchers have 3D printed unique fluid channels at the micron scale that could automate production of diagnostics, sensors, and assays used for a variety of medical tests and other applications.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
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 approach to print tiny tissues that look and function almost like their full-sized counterpart.
Xsensio has been awarded CHF 1.8 million in EU funding to adapt its Lab-on-Skin sensing patches so that they can detect when a viral illness like the flu or COVID-19 is about to get worse.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
Scientists have used machine learning to predict the reemergence of existing infectious diseases.
Researchers developed a virtual reality immersive video aimed at training and motivating people to save lives from opioid overdoses.
Researchers havee repurposed robotic technology normally used for synthetic biology research to help with testing for COVID-19.
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.
Withings announced the European availability of ScanWatch after receiving the CE marking for medical devices.
Researchers have created a 3D printed self-adjusting smart swab that could be used for COVID-19 testing.
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.
Research from the University of Plymouth suggests that robot pets could pose an infection risk if passed between staff and service users without cleaning.
Researchers hope to reduce the risk to healthcare workers posed by Covid-19 by using robots to remotely measure patients’ vital signs.
A tiny, thin-film electrode with a 3D-printed housing has been implanted in the peripheral nervous system of songbirds, where it successfully recorded electrical impulses that drive vocalizations.
Researchers are creating a wearable electronics device that can read brain waves while allowing the wearer to easily drift off into the various stages of sleep.
A new robotic system allows medical staff to remotely operate ventilators and other bedside machines from outside intensive care rooms of patients suffering from infectious diseases.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
Researchers have printed the first biologically correct 3D model of the SARS-CoV-2 virus.
Researchers have developed a total of three swab designs that are comparable to the current ‘gold standard’ swabs.
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.
Research found that chatbots working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
In response to the COVID-19 pandemic, UCLA Mattel Children’s Hospital launches an innovative project to support the emotional needs of children.
Myriad Genetics, Inc. announced a new collaboration with OptraHEALTH to implement a cognitive chatbot named Gene to provide genetic and financial assistance information to prospective patients.
Computer scientists are aiming to speed up treatments and vaccines for COVID-19 — by making researchers’ jobs easier.
The digital stethoscope that makes it possible to listen to the heart and lungs of their patients while standing up to 50 feet away.
Scientists have developed a 3D printing technique that could have future applications in diagnosing and monitoring the lungs of patients with COVID-19.
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.
Using soft robotic materials, scientists created a high-fidelity respiratory simulator that represents the interplay between between the diaphragm, abdomen and lungs.
Researchers found that a game could help scientists understand how second language learners learn a new language, and could even help them learn it faster.
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases.
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
According to new research, the Oura smart ring is indeed suitable for detecting COVID-19 infection up to three days before symptoms appear.
Researchers have developed the world’s first fully automatic robot capable of carrying out throat swabs for COVID-19.
A new app that helps patients in self-isolation monitor for symptoms of COVID-19 and identify their mental health needs has been developed.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Researchers have developed a wearable, non invasive Vitamin C sensor that could provide a new, highly personalized option for users to track their daily nutritional intake and dietary adherence.
Researchers have created a textile coating that can not only repel liquids like blood and saliva but can also prevent viruses from adhering to the surface.
Establishing whether a patient is suffering from COVID-19 within a few minutes is possible using ultrasound machines that are enhanced with artificial intelligence.
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
Researchers have developed a wearable device to catch early signs and symptoms associated with COVID-19 and to monitor patients as the illness progresses.
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 have developed an artificial intelligence platform to dramatically increase the efficiency of drug combination therapies.
A study showed that an AI algorithm provides results comparable with lung function tests, which measure how forcefully a person can exhale.
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
3D printing fuels efforts to rapidly increase ventilator capacity while providing each patient on vent support with individually tailored gas pressures and pressure monitoring.
Researchers have developed a novel sensor for detecting the new coronavirus. In future it could be used to measure the concentration of the virus in the environment.
In response to a request from the Commonwealth of Kentucky, faculty of University of Louisville have created a 3D printed swab made of a pliable resin material.
An AI tool to help funders identify specialists to peer-review proposals for emergency COVID-19 research has been developed.
A remote early warning system for the detection of COVID-19 symptoms among frontline medical staff is showing promising results.
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.
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
behold.ai has been issued with a CE Mark Class lla certification in the UK and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’.
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.
Scientists have delivered more than 200 3D-printed diffusers for metered dose inhalers (MDI) to the Houston hospital and stands ready to produce more if needed.
A research study seeks volunteers to provide data from smartphones, smartwatches and health surveys to help detect COVID-19.
A robotic testing platform developed in just nine days by dementia researchers could substantially increase the UK’s capacity to test people for coronavirus.
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.
The prototype was developed in response to the urgent need for more ventilators to treat patients with acute respiratory distress syndrome caused by COVID-19.
Scientists are creating from scratch a diagnostic lab with the capability to process more than 1,000 patient samples per day.
A researcher provides caution on the use of 3D printing to make masks and other PPE for individuals on the front lines of the Covid-19 crisis.
A ‘pandemic drone’ to remotely monitor and detect people with infectious respiratory conditions is being developed.
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute.
