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Immersive Virtual Reality Seems to Ease Cancer Patients' Pain and Distress

Immersive virtual reality - digital technology that allows a person to experience being physically present in a non-physical world - seems to ease the pain and distress felt by patients with cancer, suggests a pooled data analysis of the available evidence published in BMJ Supportive & Palliative Care.

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UK Needs AI Legislation to Create Trust so Companies can 'Plug AI into British Economy'

The British government should offer tax breaks for businesses developing AI-powered products and services, or applying AI to their existing operations, to "unlock the UK's potential for augmented productivity", according to a new University of Cambridge report.

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Digital Health AI & Data 2023: The show Dedicated to Harnessing the Power of Healthcare AI, Data and Analytics

30 - 31 October 2023, London, UK.
A data-driven revolution is gathering pace across healthcare, spanning health providers, life sciences, researchers and start-ups. Allying the explosion of health data, with transformational AI and analytics tools, techniques and capabilities, is reshaping our future healthcare.

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A Comprehensive Survey of ChatGPT and its Applications Across Domains

Recent advancements in natural language processing (NLP) have ushered in a new era with the emergence of powerful language models, most notably the Generative Pretrained Transformer (GPT) series, which includes substantial language models such as ChatGPT (GPT-3.5 and GPT-4).

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When Digital Transformation Hits the Reality of Healthcare at Full Speed - Chat GPT can do Medicine

13 - 16 November 2023, Düsseldorf, Germany.
In recent years, digitalisation has entered almost every area of daily life. Healthcare is not an exception. As early as the mid-80s, when the history of health IT was really getting started, the internationally leading medical trade fair MEDICA in Düsseldorf featured intensive coverage of the issue in its programme. In the beginning, these were offers related to hardware and software for so-called "office EDP".

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Mayo Clinic's AI Innovation Inspires Hope in Early Detection of Pancreatic Cancer

Estimated to become the second leading cause of cancer deaths in the U.S. by 2030, pancreatic cancer has a grim prognosis with nearly 70% of patients facing mortality within the first year of diagnosis. Unfortunately, 40% of small pancreatic cancers elude detection on CT scans until they've advanced to an incurable stage.

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AI Language Models could Help Diagnose Schizophrenia

Scientists at the UCL Institute for Neurology have developed new tools, based on AI language models, that can characterise subtle signatures in the speech of patients diagnosed with schizophrenia.

The research, published in PNAS, aims to understand how the automated analysis of language could help doctors and scientists diagnose and assess psychiatric conditions.

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The Medicine of the Future could be Artificial Life Forms

Creating artificial life is a recurring theme in both science and popular literature, where it conjures images of creeping slime creatures with malevolent intentions or super-cute designer pets. At the same time, the question arises: What role should artificial life play in our environment here on Earth, where all life forms are created by nature and have their own place and purpose?

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Computer Model Predicts Who Needs Lung Cancer Screening

A machine learning model equipped with only data on people's age, smoking duration and the number of cigarettes smoked per day can predict lung cancer risk and identify who needs lung cancer screening, according to a new study publishing October 3rd in the open access journal PLOS Medicine by Thomas Callender of University College London, UK, and colleagues.

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PARMESAN: An AI-Based Predictive Tool to Find New Treatments for Genetic Disorders

To discover new treatments for genetic disorders, scientists need a thorough knowledge of prior literature to determine the best gene/protein targets and the most promising drugs to test. However, biomedical literature is growing at an explosive rate and often contains conflicting information, making it increasingly time-consuming for researchers to conduct a complete and thorough review.

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