An App to Detect Heart Attacks and Strokes - and Save Lives

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests.

The ECHAS app (Emergency Call for Heart Attack and Stroke) is being developed by experts at UVA Health, Harvard, Northeastern and other leading institutions.

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Personalized Breast Cancer Prevention Now Available for Women 30+ in the UK

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast cancer and take early action years before NHS screening begins.

The service delivers a personalised breast cancer prevention plan based on each woman’s genetic profile using a simple home saliva test and online clinical guidance.

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A Machine Learning Tool for Diagnosing, Monitoring Colorectal Cancer

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people.

The analysis of biological samples from more than 1,000 people also revealed metabolic shifts associated with changing disease severity and with genetic mutations known to increase the risk for colorectal cancer.

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Fine-Tuned LLMs Boost Error Detection in Radiology Reports

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of the Radiological Society of North America (RSNA). Researchers said the findings point to an important role for this technology in medical proofreading.

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DeepSeek-R1 Offers Promising Potential to Accelerate Healthcare Transformation

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm - Future Medicine. The article comprehensively evaluates DeepSeek-R1, a Chinese-developed open-source large language model (LLM), and its potential to transform the healthcare landscape.

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Deep Learning can Predict Lung Cancer Risk from Single LDCT Scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference.

The model, called Sybil, which was originally developed using National Lung Screening Trial (NLST) data by investigators from the Massachusetts Institute of Technology and Harvard Medical School, could be used to guide more personalized lung cancer screening strategies.

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Open Medical Works with Moray's Digital Health & Care Innovation Centre to Transform Occupational Therapy Referrals

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to help transform the community occupational therapy service in Moray - and beyond. This will include integration with self-assessment and digital assessment tools to support self-management and reduce waiting times.

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Generative AI on Track to Shape the Future of Drug Design

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient.

In a new paper, Xia Ning, lead author of the study and a professor of biomedical informatics and computer science and engineering at The Ohio State University, introduces DiffSMol, a generative AI model capable of generating realistic 3D structures of small molecules that can serve as promising drug candidates.

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Reorganisation, Consolidation, and Cuts: What are the Implications for NHS IT?

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board met to consider the impact on health tech, and how suppliers can navigate the chaos.

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Philips Future Health Index 2025 Report Highlights Significant Trust Gap in Healthcare AI Between Clinicians and Patients

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of healthcare and uncovering a significant trust gap between healthcare professionals (HCPs) and patients around the role of AI in healthcare. This 10th edition report, commissioned by Philips, reveals a healthcare system under mounting strain and signals that AI can help.

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