Category: Med Tech

March 27, 2020

As with other industries, healthcare continues to thrive thanks to new technologies, including telemedicine. By offering this service, medical professionals can monitor the wellbeing of their patients remotely, something that has proven to be a critical service in today’s health […]

March 12, 2020

Robots and artificial intelligence are being deployed across the globe in the fight against the coronavirus pandemic. Robotics are being used to sanitize hospitals, some of which use ultraviolet to clean, in a bid to minimize health workers’ exposure to […]

March 6, 2020

Assessments of patients with ulcerative colitis (UC), which is a type of inflammatory bowel disease, are usually conducted via endoscopy and histology. But now, researchers from Japan have developed a system that may be more accurate than existing methods and […]

March 2, 2020

Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Published online as an accepted paper […]

February 27, 2020

Artificial intelligence (AI) adoption in the global healthcare industry is growing as the technology is increasingly able to tackle complex problems across diverse areas of the industry. For example, researchers at the Mayo Clinic have developed an AI capable of […]

February 24, 2020

In January 2020, Octopus Ventures, one of the largest early stage investors in Europe and backers of mental-health-tech company Big Health, published results of new research showing that in 2019, VC investment in mental health technology reached £580 million ($750 […]

February 19, 2020

Scientists at Tokyo Institute of Technology designed a new type of controller for the robotic arm used in robotic surgery. Their controller combines the two distinct types of gripping used in commercially available robotic systems to leverage the advantages of […]

February 14, 2020

Artificial intelligence (AI) has been used for the first time to instantly and accurately measure blood flow and thus predict chances of death, heart attack and stroke. In a large study, led by University College London (UCL) and Barts Health […]

February 11, 2020

A research team at KAIST reported clinically accurate multiplexed electrical biosensor for detecting Alzheimer’s disease by measuring its core biomarkers using densely aligned carbon nanotubes. Alzheimer’s disease is the most prevalent neurodegenerative disorder, affecting one in ten aged over 65 […]

February 10, 2020

A national trial initiated by UT Southwestern in 2011 to better understand mood disorders has produced what scientists are calling the project’s flagship finding: a computer that can accurately predict whether an antidepressant will work based on a patient’s brain […]

January 28, 2020

Anti-vascular endothelial growth factor (VEGF) agents are widely used as the first line of therapy for diabetic macular edema, but they don’t work for everyone. There’s a need to identify who would benefit from the therapy because it requires multiple […]

January 9, 2020

Think of it as the 21st century version of the doctor’s house call. Telemedicine, which allows your doctor to visit, diagnose and treat you virtually — all in the comfort of your own home — is growing rapidly. Usage is […]

January 2, 2020

A new machine learning platform can identify patients with colorectal cancer and helps predict their disease severity and survival, according to a study involving samples from thousands of subjects. The noninvasive method adds to recent advances in technologies that analyze […]

December 30, 2019

Health products powered by artificial intelligence, or AI, are streaming into our lives, from virtual doctor apps to wearable sensors and drugstore chatbots. IBM boasted that its AI could “outthink cancer.” Others say computer systems that read X-rays will make […]

December 18, 2019

Artificial intelligence (AI) technology developed by the RIKEN Center for Advanced Intelligence Project (AIP) in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors. Further, the AI identified […]