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Machine Learning-Derived Model could Lead to Better Disease Screening, Diagnostics, and Management

Using machine learning and clinical data from electronic health records, researchers at the Icahn School of Medicine at Mount Sinai in New York constructed an in silico, or computer-derived, marker for coronary artery disease (CAD) to better measure clinically important characterizations of the disease.

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3D-Patient Tumor Avatars: Maximizing their Potential for Next-Generation Precision Oncology

At any time, most cancer patients are receiving a treatment that does not significantly benefit them while enduring bodily and financial toxicity. Aiming to guide each patient to the most optimal treatment, precision medicine has been expanding from genetic mutations to other drivers of clinical outcome. There has been a concerted effort to create "avatars" of patient tumors for testing and selecting therapies before administering them into patients.

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Step up for the NHS Digital Funding Hokey-Cokey

Last year's Budget set aside £2.1 billion for NHS IT, and the autumn statement confirmed the capital is still there, but it looks like most of the money is headed for Frontline Digitisation. The Highland Marketing advisory board considers how this pattern of putting money into health tech, taking it out again, shaking up the badging, and starting over impacts the market.

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Digital Health Rewired 2023

14 - 15 March 2023, London, UK.
Join the diverse UK digital health community for the ultimate learning and networking experience at London's Business Design Centre. Digital Health Rewired is for anyone wanting to make a difference in UK digital health including NHS and social care, private healthcare, suppliers, start-ups, innovators, policy makers and patients.

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The Three Challenges Facing the NHS

Opinion Article by Lord Victor Adebowale CBE, Chair and Co-Dounder of Visionable.
Digital technology is the conduit to equal and equitable access to care. Get that right and we can ensure that the NHS is meeting the needs of all the population and not just those who are equipped to navigate the healthcare system.

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AI Searches an Early Sign of Osteoarthritis from an X-Ray Image

Researchers from the University of Jyväskylä and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors’ diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis.

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AI Model Proactively Predicts if a COVID-19 Test might be Positive or Not

COVID-19 and its latest Omicron strains continue to cause infections globally. Serology (blood) and molecular tests are the two most commonly used methods for rapid COVID-19 testing. Because COVID-19 tests use different mechanisms, they vary significantly. Molecular tests measure the presence of viral SARS-CoV-2 RNA while serology tests detect the presence of antibodies triggered by the SARS-CoV-2 virus.

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Creating a Vehicle for the NHS Frontline to Scale Real Solutions

Opinion Article by Professor Ann-Marie Cannaby, senior NHS nurse and member of the BT Clinical Advisory Board, BT Enterprise.
I have spent my career in nursing. From my earliest days working on wards to now being a Chief Nurse, it has remained very clear to me that people at the frontline of service delivery often best understand the problems and challenges facing healthcare.

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Siemens Healthineers Opens New Ultrasound Manufacturing Facility in Košice, Slovakia

Siemens Healthineers opened a new Ultrasound manufacturing facility in Košice, Slovakia, its first in Europe, with an initial capacity of up to 120 systems per week. The company will use this new facility to expand manufacturing capabilities for its ultrasound products, including the Acuson Sequoia and the Acuson Redwood.

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Finding the Right AI for You

The human genome is three billion letters of code, and each person has millions of variations. While no human can realistically sift through all that code, computers can. Artificial intelligence (AI) programs can find patterns in the genome related to disease much faster than humans can. They also spot things that humans miss.

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