The head of global theme park giant Merlin Entertainments says its biggest competition is people choosing to stay at home on their phones and other devices. Fiona Eastwood says a day out at one of its UK attractions - which include Legoland, Thorpe Park and Alton Towers - was the perfect antidote for spiralling screen time. In a wide-ranging BBC Big Boss Interview, the chief executive reflected on challenges in the forthcoming Budget, big brand partnerships, and how its customers were responding to cost-of-living pressures. Eastwood also highlighted the importance of seasonal attractions to its customers - with Halloween now rivalling its summer season in driving profits at some attractions. Having been in the job since February, Eastwood has taken over at a time when her industry is facing challenges from a dip in consumer confidence.

Digital pathology has gained significant traction in modern healthcare systems. This shift from optical microscopes to digital imagery brings with it the potential for improved diagnosis, efficiency, and the integration of AI tools into the pathologists workflow. A critical aspect of this is visualization. Throughout the development of a machine learning (ML) model in digital pathology, it is crucial to have flexible, openly available tools to visualize models, from their outputs and predictions to the underlying annotations and images used to train or test a model. We introduce TIAViz, a Python-based visualization tool built into TIAToolbox which allows flexible, interactive, fully zoomable overlay of a wide variety of information onto whole slide images, including graphs, heatmaps, segmentations, annotations and other WSIs. The UI is browser-based, allowing use either locally, on a remote machine, or on a server to provide publicly available demos. This tool is open source and is made available at: https://github.com/TissueImageAnalytics/tiatoolbox and via pip installation (pip install tiatoolbox) and conda as part of TIAToolbox.

One of her generation's most gifted and adaptable actors is Amy Adams. Have you seen "Doubt," where she gave a great performance? She was nominated for an Academy Award for Best Supporting Actress because of the subtlety and depth with which she depicted the nuanced character of Sister James. Her run of critically acclaimed performances would continue after this. Her acting abilities are demonstrated in more than only her tragic parts, though.

Summary: Using 3D imaging and artificial intelligence, researchers discovered the shortest distance between two points on the curved surface of the face predicted, with 89% accuracy, which patients had sleep apnea. Facial features analyzed from 3D photographs could predict the likelihood of having obstructive sleep apnea, according to a study published in the April issue of the Journal of Clinical Sleep Medicine. Using 3D photography, the study found that geodesic measurements -- the shortest distance between two points on a curved surface -- predicted with 89 percent accuracy which patients had sleep apnea. Using traditional 2D linear measurements alone, the algorithm's accuracy was 86 percent. "This application of the technique used predetermined landmarks on the face and neck," said principle investigator Peter Eastwood, who holds a doctorate in respiratory and sleep physiology and is the director of the Centre for Sleep Science at the University of Western Australia (UWA).

Patient engagement and user experience is a goal high on the priority list for many hospitals and health systems that wish to enhance communication with consumers, better include patients in their care decisions and ultimately improve outcomes. Information technology can help caregivers on the front lines of healthcare better engage people to nail down these ambitions. And the next generation of patient engagement IT will offer better and new tools and approaches to help caregivers and others aim high and hit the mark. Better bidirectional messaging with members of a patient's care team is a next-generation feature of patient engagement technology, said Brian Eastwood, an analyst at Chilmark Research, a healthcare IT consulting firm. "Such communication – in a patient's preferred modality, whether via text message or within an engagement app itself – addresses the lag time between responses that is common with e-mail or phone communication," Eastwood said.

Experts discuss a medical ecosystem where people, policies and technology interconnect, allowing doctors to administer precise treatment to one patient -- the N of 1 -- and then deliver it to everyone. The old "take two aspirin and call me in the morning" cure is antithetical to today's precision medicine approach to healthcare, which zeroes in on an individual's unique genetic makeup, environment and lifestyle to determine an exacting treatment. Traditional healthcare is broadly based on cohort studies that compare risk factors and outcomes for a large set of patients who share similar symptoms. Cohort studies are more credible when the "N" -- the number of patients included in the study -- is very large. That's diametrically at odds with the goal of precision medicine, which aims to find a treatment plan tailored for a particular person: "The N of 1."

HIMSS 2017 buzz centered on health data cybersecurity, but that hot topic of recent years' gatherings of the health IT universe simmered alongside emerging trends such as patient engagement and artificial intelligence and machine learning. The progression of healthcare IoT, or the Internet of Medical Things, is not without its challenges. Download a PDF of this exclusive guide now and learn how to overcome the obstacles: security, data overload, regulations, and more. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent.