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.
Search for: COVID-19
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.
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 caution that consumer wearables are not sophisticated enough to monitor the complicated illness.
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.
Thai hospitals are deploying "ninja robots" to measure fevers and protect the health of overburdened medical workers on the frontlines of the outbreak.
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.
Researchers are using virtual reality to understand the impact of moral distress on healthcare workers during the pandemic.
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.
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.
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.
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).
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.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
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.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
The Covid-19 pandemic highlights how remote healthcare robots currently being developed could be beneficial in the future.
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.
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.
Scientists have created a new way to detect the proteins that make up the pandemic coronavirus, as well as antibodies against it.
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.
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.
Researchers have examined how mobile technologies have been used in monitoring and mitigating the effects of the Covid-19 pandemic.
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.
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 found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Researchers have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
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.
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.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
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.
Researchers have developed a technique based on self-learning algorithms that improves the performance of the controller by a factor ten.
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.
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.
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.
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 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.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
3D printing fuels efforts to rapidly increase ventilator capacity while providing each patient on vent support with individually tailored gas pressures and pressure monitoring.
An AI tool to help funders identify specialists to peer-review proposals for emergency COVID-19 research has been developed.
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.
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.
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.
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.