Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
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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 have developed an “organs-on-a-chip” system that replicates interactions between the brain, liver, and colon.
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 designed a hydrogel membrane that may be used to house optical glucose sensing materials toward building a biosensor for monitoring sugar levels in diabetics.
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.
Researchers have invented a high-throughput cell separation method that can be used in conjunction with droplet microfluidics.
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 have built a low-cost multiplex test that can rapidly provide three different types of data on COVID-19.
Researchers have designed a wearable device that monitors sweat for biomarkers that could signal flare-ups of inflammatory bowel disease (IBD).
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 new 3D hydrogels provide high rates of cell proliferation, as they mimic lymph nodes, where T-cells reproduce in vivo.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
An innovative measurement method is helping to detect people infected with coronavirus from a safe distance. It detects fever, increased pulse rates and fast breathing without endangering the person conducting the testing.
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.
Researchers have created a material with a unique set of properties, which could act as a replacement for human tissue in medical procedures.
The UNC School of Medicine lab of Jason Franz, PhD, created virtual reality experiments to show how a potentially portable and inexpensive test could reduce falls and related injuries in people with multiple sclerosis.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
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.
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.
Thanks to developments in 3D bioprinting, the UT researchers could create a miniature brain model representing the delicate tissue around the tumor, including the macrophages.
Research project is aimed at improving therapeutic options for both rare and common diseases, including supporting methods to improve editing the human genome.