The wearable tech market is currently worth over $50bn, having more than doubled in size since 2014.
Healthy.io, a company turning smartphone cameras into clinical-grade medical devices to detect chronic kidney disease, has announced that it has raised $60m in Series C funding to roll out the product around the world.
A new artificial intelligence (AI) neutral network can successfully detect heart failure from just one heartbeat.
All mental health workers for the UK’s National Health Service (NHS) claim to experience incidents of verbal or physical aggression at least once a week, and NHS staff surveys show that these incidents are increasing – a recent survey found that 15% of NHS workers have experienced violence in the past 12 months, which was
A newly announced 3D printed wheelchairs project is improving access to assistive technologies in developing countries.
Some 113,000 patients are currently on an organ waiting list, unsure whether they will receive the life-saving treatment that they desperately need.
Combining humans and machines has long been the realm of science fiction, but thanks to technology such as neuroscience, nanotechnology, machine learning and 3D printing, it may soon be commonplace.
For the first time in history, scientists have detected brain wave activity that resembles pre-term babies in lab-grown mini-brains, also known as cerebral organoids.
Despite the UK government’s plans to invest £250m in a National Artificial Intelligence Lab for the National Health Service (NHS), new research has found that public concerns over accuracy, cybersecurity and the limitations of AI-led chatbots could hinder innovation in the healthcare space.
Clinicians at the Newcastle Hospitals NHS Foundation Trust in the UK can now print patient-specific models on demand thanks to new in-house medical 3D printing facilities.
Human night vision could in the future become possible thanks to breakthrough research detailed today by scientists from the University of Massachusetts.
A few years ago, the hype surrounding the wearable technology industry was deafening.
A lab no bigger than a postage stamp could offer a promising tool for the development of important anti-clotting drugs.
Chatbots are everywhere.
The UK government has said it will allocate £250m for a National Artificial Intelligence Lab for the National Health Service (NHS) to improve patient care.
A 3D printed heart that can be custom created for those needing a transplant has been a goal for some time, but recreating the highly complex organ has remained a dream so far.
Almost anything can be hacked.
If we don’t merge our brains with artificial intelligence, we’re toast.
Robots and prosthetics may soon have a sense of touch similar to human skin thanks to e-skin technology developed by researchers at the National University of Singapore.
US researchers have created ‘artificial muscles’ that imitate the coiling and pulling mechanism found in a cucumber plant’s tendrils.
The year is 2040.
Chief clinical information officers didn’t even exist in the NHS a decade ago.
Researchers at the Francis Crick Institute have developed a database of gene activity in mice, which could reduce the use of animals in medical research.
International assurance, tax and advisory firm EY has launched a first-in-industry initiative to tie medicine payments to clinical and patient satisfaction outcomes.
Considering Facebook’s track record with user data over the past few years, the idea of handing over personal health data and even DNA via the platform may be unappealing for many.
A smartphone app that uses artificial intelligence (AI) to analyse coughs could diagnose if your child has asthma, according to a study published today.
When Chinese scientist Jiankui He genetically modified twin babies in an attempt to make them immune to HIV last November, he earned worldwide condemnation from the scientific community.
Scientists at the University of Washington have created a smartphone app that can detect ear infections using nothing more than a piece of paper and the phone’s microphone and speaker.
A machine learning algorithm has predicted heart attacks and death from heart disease with 90% accuracy, overtaking human practitioners.
An eight-year study has revealed the benefits of continuous health monitoring – even when a person shows no signs of illness – suggesting a major paradigm shift is needed in healthcare.