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

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Research
28 May 2025
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

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Research
27 May 2025
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

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Research
26 May 2025
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

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Research
23 May 2025
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

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Research
22 May 2025
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

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Research
21 May 2025
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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Generative AI on Track to Shape the Future of Drug Design

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Research
19 May 2025
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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More eHealth News ...

  1. AI Tool Uses Face Photos to Estimate Biological Age and Predict Cancer Outcomes
  2. AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients
  3. AI-Human Task-Sharing could Cut Mammography Screening Costs by Up to 30%
  4. AI-Powered Precision: Unlocking the Future of Immunotherapy through Immunogenomics, Radiomics, and Pathomics
  5. SALSA: A New AI Tool for the Automated and Precise Analysis of Liver Tumors
  6. AI could Help Improve Early Detection of Interval Breast Cancers
  7. Building Trust in Artificial Intelligence for Healthcare: Lessons from Clinical Oncology
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