Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Scientists are researching salamanders unique superpower - they can regenerate their spinal cords and regain full functionality.
Scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels.
This is the first known time that AI has used causation instead of correlations to support doctors with diagnosis in simulated cases.
Research found that chatbots working for reputable organizations can ease the burden on medical providers and offer trusted guidance to those with symptoms.
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.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
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.
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.
Researchers have developed a computer model which predicts the neuronal activation patterns that the cochlear implant creates in the auditory nerve fibers.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.
A researcher is hoping to help women in rural areas access information about their reproductive health using a common tool in their pockets: a smartphone.
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.