The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Arm unveiled some new tools for chipmakers and car makers to developed "software-defined" automobiles of the future. Software-defined automobiles are those that can be reprogrammed for different functions using software, even after the cars ship to owners. Cambridge, England-based Arm is working with major automobile suppliers and tech firms including AWS, Continental, Cariad, and more. The car features range from driver-assisted safety measures to self-driving cars. But the one thing they share in common is that they're loaded with electronics.
Artificial intelligence could spot the early signs of dementia from a simple brain scan long before major symptoms appear – and in some cases before any symptoms appear – say Cambridge researchers. Dementias are characterized by the build-up of different types of protein in the brain, which damages brain tissue and leads to cognitive decline. In the case of Alzheimer's disease, these proteins include beta-amyloid, which forms'plaques', clumping together between neurons and affecting their function, and tau, which accumulates inside neurons. Molecular and cellular changes to the brain usually begin many years before any symptoms occur. Diagnosing dementia can take many months or even years.
The Government has said that artificial intelligence (AI) in GP practices will help manage patients in the elective care backlog. It today announced that new technology and innovation will allow the NHS to treat 30% more elective care patients by 2023/24. It added that NHS'come forward with a delivery plan for tackling the backlog'. In March, NHS England suggested that GPs could be asked to review hospital waiting lists for elective care to help prioritise and manage patients from the following month. Details were limited, but NHS England later told GPs that they must'jointly manage' patients stuck in the backlog of care caused by the Covid pandemic with hospitals. Meanwhile, Pulse revealed in June that NHSX and NHS England were considering the viability of a wider roll out of an artificial intelligence triage model based on that used by Babylon.
Artificial intelligence (AI) could diagnose a suspected dementia patient the day they are assessed. The disease currently has no set test, with medics generally relying on cognitive assessments and brain scans. With it sometimes taking years to reach a diagnosis, scientists from the University of Cambridge are developing an AI system that could spot signs of the disease after a single brain scan. The system is "trained" to compare a suspected patient's brain scan against thousands of confirmed cases, with the algorithm potentially identifying signs of the disease that a neurologist could not spot. Although the technology is still in a trial stage, it could diagnose dementia years before symptoms emerge.
So far for Alex Kendall, everything is on track. Since founding his driverless-car tech start-up Wayve in 2017, he has raised more than $44 million (£32 million) from investors, assembled a team of 100 and opened a flashy HQ in King's Cross, the heart of London's artificial intelligence (AI) industry. The Cambridge University graduate now has his sights set on rolling out his product on the roads, but much like one of his autonomous Jaguar I-Pace cars, it is something he cannot control. "We've built a team and put together a technology ... [but] there's no legislation currently in place to support autonomous driving in the UK," said Kendall, 29.
NIHR awards £12 million to artificial intelligence research to help understand multiple long-term conditions. Professor Bruce Guthrie will lead one of three new Research Collaborations. The NIHR has awarded almost £12 million to new research that will use advanced data science and artificial intelligence (AI) methods to identify and understand clusters of multiple long-term conditions and develop ways to prevent and treat them. An estimated 14 million people in England are living with two or more long-term conditions, with two-thrids of adults aged over 65 expected to be living with multiple long-term conditions by 2035. People who develop multiple long-term conditions often do not have a random assortment of diseases but rather a largely predictable cluster of conditions.
This article is based on research findings that are yet to be peer-reviewed. Results are therefore regarded as preliminary and should be interpreted as such. Find out about the role of the peer review process in research here. For further information, please contact the cited source. As society transitions to "living with COVID-19", having access to both efficient and accurate screening tools is integral.
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Artificial intelligence (AI) is transforming the way we live, work, travel, and do business. The expertise of British AI companies, some of the world's most innovative, contributes significantly to this increase in global economic growth and productivity. Recently, Tech Nation, the leading growth platform for UK tech companies, released data on the growth of the AI tech ecosystem in the UK. According to this new data, the UK is now home to over 1,300 AI companies, up from 180 companies in 2011, representing a 600% increase. AI companies are scaling across all regions of the UK, with 50% of the top scaling AI companies being outside of London with Cambridge and Edinburgh being major hubs. Furthermore, Venture Capital investment into UK AI companies also rocketed from $120 million in 2010 to $3.4 billion in 2020.
The NIHR has awarded £2.5 million for new research led by the University of Birmingham that will use artificial intelligence (AI) to produce computer programmes and tools that will help doctors improve the choice of drugs in patients with clusters of multiple long-term conditions. Called the OPTIMAL study (OPTIMising therapies, discovering therapeutic targets and AI assisted clinical management for patients Living with complex multimorbidity), the research aims to understand how different combinations of long-term conditions and the medicines taken for these diseases interact over time to worsen or improve a patient's health. The study will be led by Dr Thomas Jackson and Professor Krish Nirantharakumar at the University of Birmingham and carried out in collaboration with the University of Manchester, University Hospitals Birmingham NHS Foundation Trust, NHS Greater Glasgow & Clyde, University of St Andrews,and the Medicines and Healthcare Products Regulatory Agency. An estimated 14 million people in England are living with two or more long-term conditions, with two-thirds of adults aged over 65 expected to be living with multiple long-term conditions by 2035. Dr Thomas Jackson, Associate Professor in Geriatric Medicine at the University of Birmingham, said: "Currently when people have multiple long-term conditions, we treat each disease separately. This means we prescribe a different drug for each condition, which may not help people with complex multimorbidity which is a term we use when patients have four or more long-term health problem. "A drug for one disease can make another disease worse or better, however, presently we do not have information on the effect of one drug on a second disease.