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New AI Algorithm may Improve Autoimmune Disease Prediction and Therapies

A new advanced artificial intelligence (AI) algorithm may lead to better - and earlier - predictions and novel therapies for autoimmune diseases, which involve the immune system mistakenly attacking their body’s own healthy cells and tissues. The algorithm digs into the genetic code underlying the conditions to more accurately model how genes associated with specific autoimmune diseases are expressed and regulated and to identify additional genes of risk.

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ChatGPT Extracts Data for Ischaemic Stroke Almost Perfectly

In an ischaemic stroke, an artery in the brain is blocked by blood clots and the brain cells can no longer be supplied with blood as a result. Doctors must therefore act quickly and unblock the artery with the help of catheters. During the so-called mechanical thrombectomy, a lot of data has to be recorded and then transferred to various registers.

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Is 'Smart Health Tech' Solving the Right Problems for the NHS?

Opinion Article by Dr. Paul Deffley, Chief Medical Officer, Alcidion.
Where would you position the NHS in relation to other countries, when it comes to the adoption of innovative technologies to support patient care?

Recent research from Newsweek and Statista, which ranked the world’s top 'smart hospitals', placed its first NHS trust at position 72 on the list.

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AI Tool to Improve Heart Failure Care

UVA Health researchers have developed a powerful new risk assessment tool for predicting outcomes in heart failure patients. The researchers have made the tool publicly available for free to clinicians.

The new tool improves on existing risk assessment tools for heart failure by harnessing the power of machine learning (ML) and artificial intelligence (AI) to determine patient-specific risks of developing unfavorable outcomes with heart failure.

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Why Standards are Key to Building Trust in AI

Opinion Article by Dean Mawson, Clinical Director and Founder, DPM Digital Health Consultancy.
There's considerable interest in the potential uses of AI in healthcare at the moment; but there is also concern about the possible risks that it could pose.

Challenges include questions about data privacy and algorithmic bias, how we can make sure that AI tools are subject to robust validation and testing processes, and how to make sure they are used safely in a clinical setting.

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Chatbots Tell People What They Want to Hear

Chatbots share limited information, reinforce ideologies, and, as a result, can lead to more polarized thinking when it comes to controversial issues, according to new Johns Hopkins University-led research.

The study challenges perceptions that chatbots are impartial and provides insight into how using conversational search systems could widen the public divide on hot-button issues and leave people vulnerable to manipulation.

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Somerset NHS Foundation Trust Works with Oleeo to Streamline Recruitment

Somerset NHS Foundation Trust is working with Oleeo to help to support its recruitment processes and deliver a better experience for recruitment managers and candidates.

The trust, which employs 14,000 people across two acute hospitals, 13 community hospitals and a range of community, primary care and mental health services, is planning to go-live with the new recruitment, applicant management, and reporting software in May.

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Virtual Reality Environment for Teens may Offer an Accessible, Affordable Way to Reduce Stress

Social media. The climate crisis. Political polarization. The tumult of a pandemic and online learning. Teens today are dealing with unprecedented stressors, and over the past decade their mental health has been in sustained decline. Levels of anxiety and depression rose after the onset of the COVID-19 pandemic. Compounding the problem is a shortage of mental health providers - for every 100,000 children in the U.S., there are only 14 child and adolescent psychiatrists.

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AXREM and Highland Marketing Partner to Support Diagnostic Health Tech Industry

AXREM represents member companies that collectively provide UK hospitals with most of their diagnostic medical imaging technology, and radiotherapy equipment.

The association has seen substantial growth in recent years, with membership also including suppliers of health IT, AI and care equipment such as patient monitors. AXREM helps to facilitate cross industry dialogue on key issues affecting the sector.

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AI Predicts Tumor-Killing Cells with High Accuracy

Using artificial intelligence, Ludwig Cancer Research scientists have developed a powerful predictive model for identifying the most potent cancer killing immune cells for use in cancer immunotherapies.

Combined with additional algorithms, the predictive model, described in the current issue of the journal Nature Biotechnology,

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