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News • Computational disease models
Digital twins aid patient treatment
Researchers have developed advanced computer models, or “digital twins”, of diseases, with the goal of improving diagnosis and treatment.
Researchers have developed advanced computer models, or “digital twins”, of diseases, with the goal of improving diagnosis and treatment.
Computational approaches are being applied on enormous amounts of data from sequencing technologies to develop tools to help clinicians manage cancer more effectively.
Scientists have taken the first step to creating the next generation of wearable health monitors, which could monitor the body’s health by detecting the gases released from a person’s skin.
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
During the first Chemnitz’ Robotic-Symposium, two experts reported on the current state and the future of robot-assisted surgery and highlighted why it is a good time to be involved in this field of technology.
The University Medical Centre (UMC) Utrecht, The Netherlands, collaborates with Fujitsu to realize their smart hospital initiative, using sensors, tags and IoT technology provided by the company.
Big data is transforming diagnosis and medical care, but the critical challenge remains over how to equally apply the benefits it delivers across real-world clinical settings, according to industry expert Prof Benoît Macq.
The motion capture technology called Precise Marker-less could aid doctors and physiotherapists in their consultations and diagnoses for patients in need of rehabilitation.
To transform human mobility, exoskeletons need to interact seamlessly with their user. Now, researchers gave users direct control to customize the behavior of an ankle exoskeleton.
Researchers are developing wearable devices to catch early signs and symptoms of diseases or monitor sick patients. We spoke to wearables and medical device expert Professor John Rogers about the benefits, challenges, trends and innovation within the sector.
The MD-Bio BCC19 Coronavirus test utilizes RT-LAMP technology to provide accurate results in just 30 minutes.
The system could enable significant advances for the 40,000 pediatric congenital heart disease patients born each year.
Combining questions about a person's health with data from smartwatch sensors, a new app can predict within minutes whether someone is infected with COVID-19.
Mathematical models used as patient surrogates could help clinicians select the best cancer treatment before going to the patient’s bedside.
Cardiac rehabilitation can be done just as well at home as in the hospital. This is the conclusion of the most extensive research into ‘tele-rehabilitation’ to date.
Researchers have developed a smartwatch that assesses cortisol levels found in sweat. The device opens new possibilities for personal health monitoring.
NFTs, or nonfungible tokens, first made a splash in the art world as a platform to buy and sell digital art backed by a digital contract. But could NFT be useful in other markets such as healthcare?
A mobile application assists in recording skin lesions and sends them to dermatology departments in hospitals, speeding up diagnosis of skin cancer.
E-mental health services could provide a response to these challenges and offer effective ways for prevention, diagnosis, treatment, and aftercare.
Researchers used artificial intelligence to identify sets of genes that predict whether a patient will acquire severe sepsis.
Virtual reality helps to understand how blind people move and orient themselves in space. In the future it may become a serious game able to rehabilitate blind people’s orientation skills
Does artificial intelligence (AI) need more diversity? This aspect is brought up by experts in the context of AI systems to diagnose skin cancer. Their concern: images used to train such programs do not include data on a wide range of skin colours, leading to inferior results when diagnosing non-white patients.
Progress in miniaturising sensor technology has opened up new possibilities for monitoring vital signs outside the hospital environment. A subset of wearables are the so-called hearables – in-ear devices that are well suited for long-term monitoring as they are non-invasive, inconspicuous and easy to fasten. Hearables offer two major benefits: their proximity to the torso and vascular system of…
To detect wound complications as soon as they happen, a team of researchers has invented a smart suture that is battery-free and can wirelessly sense and transmit information from deep surgical sites.
Every day, elderly people fall – be it at home or in care facilities. Med-tech start-up Lindera developed an app that allows motion analysis via a smartphone camera to minimize the risk of falling.