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.
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.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
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.