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.
Using blockchain, the US pharmaceutical industry plans track legal changes of ownership of prescription drugs as they move through the supply chain.
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 trial tele-ophthalmology system has paved the way for one of the world’s first tele-examinations of an eye streamed live using a 5G smartphone.
Using a simple computer game and AI techniques, researchers were able to identify behavioural patterns in subjects with depression and bipolar disorder.
Photomedas is the name of a non-invasive system that will help measure the cranial deformation of infants – from newborns, to 12-month-old babies.
Scientists are creating chatbots thet can express and respond to emotion during a conversation—including AI companions that could help relieve loneliness for seniors.
Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients.
Virtual doppelgangers could one day revolutionize medicine: Researchers are developing a digital twin, which should facilitate the development of personalized therapies.
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.
With artificial intelligence to a diagnosis of rare hereditary diseases: The neural network combines data from portrait images with gene and patient data.
Spine surgery: A new robotic technology increases the safety and precision of spinal fusion surgeries while reducing the time needed for the procedure.
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.
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease.
The current innovation process for medical technologies risks stifling the development of new devices, a leading researcher has argued.
Prototype web portal shows technology’s potential to protect and streamline the clinical trials process.
Today, drones are happily regarded as the pinnacle of digitalisation in healthcare. However, for Dr Dominik Pförringer, “Drones are not even in the top 100 of my wish list for digital solutions."
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
A flying smartbox from AT&T and Softbox shows how Internet of Things can help safely deliver vital temperature-sensitive medicines in crises.
In the age of big data, cancer researchers are discovering new ways to monitor the effectiveness of immunotherapy treatments.
Engineers have successfully developed and validated the feasibility of blockchain-based technologies for secure, confidential sharing of patient medical records.
The use of blockchain will change paradigm towards patient-centered healthcare.
