Smartphone App may Support Drinkers Who Overindulge to Drink Less Heavily

Access to a smartphone alcohol intervention app helped university students to cut down their overall alcohol consumption and the number of days they drank heavily, suggests a study published in The BMJ.

Unhealthy drinking is the biggest risk factor to health for 15 to 49-year olds, and unhealthy use of alcohol is especially prevalent among adult students, prompting the authors to design a smartphone app to encourage healthier drinking among this group.

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AI Model Developed by Brigham Researchers could Help Screen for Heart Defect

The AI model was more efficient at detecting signatures of atrial septal defect (ASD) in electrocardiograms (ECG) than traditional methods.

Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham healthcare system, and Keio University in Japan have developed a deep learning artificial intelligence model to screen electrocardiogram (ECG) for signs of atrial septal defects (ASD).

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How Old Are You, Really? AI can Tell Your True Age by Looking at Your Chest

What if "looking your age" refers not to your face, but to your chest? Osaka Metropolitan University scientists have developed an advanced artificial intelligence (AI) model that utilizes chest radiographs to accurately estimate a patient's chronological age. More importantly, when there is a disparity, it can signal a correlation with chronic disease.

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Study Proposes Use of AI to Diagnose Autism Spectrum Disorder

Diagnosing autism spectrum disorder (ASD) is still a daunting challenge because of the degree of complexity involved, requiring highly specialized professionals. Autism is a multifactorial neurodevelopment disorder with widely varying symptoms. In the United States, about 1 in 36 children have been diagnosed with ASD, according to the Centers for Disease Control and Prevention (CDC), and yet there are no biochemical markers to identify it with precision.

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Digital Puzzle Games could be Good for Memory in Older Adults

Older adults who play digital puzzle games have the same memory abilities as people in their 20s, a new study has shown.

The study, from the University of York, also found that adults aged 60 and over who play digital puzzle games had a greater ability to ignore irrelevant distractions, but older adults who played strategy games did not show the same improvements in memory or concentration.

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Growth Manager Europe

The role of the Growth Manager is part of the Health Ecosystem Management (HEM) team, which drives health ecosystem management and performance together with Digital Assets, Digital Health Services, Operational Marketing teams, and other functions in the company. The Growth Manager reports to the Head of the Health Ecosystem.

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ABHI Welcomes Health Tech Specialist Agency Highland Marketing

Health technology trade association ABHI has announced that specialist marketing, PR and communications agency Highland Marketing has joined its membership.

Highland Marketing has worked with technology providers throughout the health and care sector for more than two decades, helping to bring innovations to market and raise awareness of the positive impact technologies enable for clinical teams and patients.

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Scientists Harness the Power of AI to Shed Light on Different Types of Parkinson's Disease

Researchers at the Francis Crick Institute and UCL Queen Square Institute of Neurology, working with technology company Faculty AI, have shown that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells.

Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes of Parkinson’s disease, with one reaching an accuracy of 95%.

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New Machine-Learning Method may Aid Personalized Cancer Therapy

Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response. If validated in clinical trials, the technology could help scientists overcome a major hurdle to developing personalized immunotherapies and vaccines.

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Early Findings of AI Study at Frimley Health NHS Foundation Trust Show 99.7% Accuracy in Triaging Chest X-rays as Normal

Frimley Health NHS Foundation Trust and Qure.ai have announced the early results of a pilot study using an innovative radiology AI solution to read and differentiate between normal and abnormal chest X-rays (CXRs).

qXR, a CE class IIb MDR cleared solution developed by Qure, was deployed with the hypothesis to categorise normal x-rays - approximately 40% of the caseload from GP and outpatient requests - and augment overall reporting efficiency.

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