Scientists are using artificial intelligence (AI) and the Cambridge-1 supercomputer to synthesise artificial 3-D MRI images of human brains and create models that show disease states across various ages and genders. The Synthetic Brain Project is focused on building deep learning models which have been developed by King’s College London (KCL) and NVIDIA data scientists and engineers as part of…
A new blockchain-based data analysis app aims to drive collaboration and insights across clinical trials. The tool, developed by software company Clintex, is designed to boost trial efficiency, help drive down the cost of new medicines and expediting their delivery to patients.
In an online event on June 24th, international experts will discuss how a joint European Health Data Space is supposed to drive innovation and medical progress.
Identifying new uses for approved therapeutic drugs continues to drive academics and clinicians to provide safe, affordable and rapid development of new treatment options for patients with common or rare diseases.
Communities benefit from sharing knowledge and experience among their members. Following a similar principle - called “swarm learning” - an international research team has trained artificial intelligence algorithms to detect blood cancer, lung diseases and Covid-19 in data stored in a decentralized fashion. This approach has advantage over conventional methods since it inherently provides…
International genomics research led by the University of Leicester has used artificial intelligence (AI) to study an aggressive form of cancer, which could improve patient outcomes. Mesothelioma is caused by breathing asbestos particles and most commonly occurs in the linings of the lungs or abdomen. Currently, only seven per cent of people survive five years after diagnosis, with a prognosis…
Advances offered by Big Data and Artificial Intelligence within the healthcare environment are opening up new opportunities for radiographers. Roles in systems development, and being part of the safeguarding aspect by ensuring machine-based bias does not take over patient management, may be performed by radiographers alongside other contributions as AI plays an increasing role in healthcare.…
Nearly twice as many people were admitted to hospital for Covid-19 at the height of the pandemic than were for influenza at the peak of the 2018/2019 flu season, a study of French national data published in The Lancet Respiratory Medicine journal has found (Covid-19, 89,530 patients vs influenza, 45,819 patients).
Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI research to tackle prostate cancer (PC), the second most frequent type of cancer in men and the third most lethal in Europe.
oyal Philips announced the completion of a regional informatics project that consolidates radiology and nuclear medicine imaging data. The Region of Southern Denmark now has a single system for storing, retrieving, and viewing clinical images across all the locations and specialties in its extensive healthcare system.
Thales’ expert knowledge in digital technology as well as in hardware and software systems has enabled the company to become a market leader in major innovation fields such as the cloud, connectivity and artificial intelligence. Thales is proud to launch its unique Connected Radiology platform which will bring multiple benefits to the efficiency of hospitals through the non-stop use of…
Cloud computing isn’t exactly a new concept in the healthcare industry. Its benefits have become increasingly well-known across the sector and, without it, we wouldn’t have many health-related services that both healthcare professionals and patients now rely on. It’s no surprise then that the European healthcare cloud computing market is expected to be worth around £44 billion by 2025.…
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence (AI) diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published in Nature Medicine. The AI model uses data from the COVID Symptom Study app to predict COVID-19 infection, by comparing…
COVID-19 has infected millions and killed hundreds of thousands of people worldwide, but a new predictor model devised at the Queensland University of Technology (QUT) offers glimmers of hope, suggesting the worst has passed and indicating well under 1000 deaths for Australia. The team at QUT, led by physician, mathematician and Future Fellow Dan Nicolau, has developed what they believe to be a…
Big data makes big promises when it comes to providing insights into human behavior and health. The problem is how to harness the information it provides in an efficient manner. An international team of researchers has proposed a microbiome search-based method, via Microbiome Search Engine (MSE), to analyze the wealth of available health data to detect and diagnose human diseases. They published…
Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate.
A team of researchers from the National University of Singapore (NUS) has discovered a new personalised tool to detect cancer, predict patient survivability and how well a cancer patient would respond to immunotherapy. This tool is a specially-designed cancer 'scorecard' to be used with the standard blood test for cancer (also known as liquid biopsy). This 'scorecard', which the team termed as…
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma. This form of cancer in children, which occurs in specialised nerve cells in the sympathetic nervous system, may be life-threatening. In the long term the discovery, described in the latest issue of the scientific journal Nature Communications, may result in a new form of…
Although some people foresee artificial intelligence (AI) easing medical workloads, many challenges arise before that dream can begin. Dr Felix Nensa and Dr Bram Stieltjes described such hurdles in a session held during a SITEM School Symposium in Bern, Switzerland. Whilst AI has potential, actually delivering that asset in to routine medical practice remains a major challenge.
