AI-Supported Breast Cancer Screening - New Results Suggest Even Higher Accuracy

The new findings are published in The Lancet Digital Health. The initial results of the Mammography Screening with Artificial Intelligence (MASAI) study* - a randomised trial to evaluate whether AI can improve mammography screening - were published in August 2023. The study started in spring 2021, and the final report will be written next year. A second report has now been published, and Kristina Lång, who is responsible for the study, is pleased to be able to show strong figures.

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AI Improves Personalized Cancer Treatment

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few parameters are often not enough to understand the complexity of diseases such as cancer. A team of researchers from the Faculty of Medicine at the University of Duisburg-Essen (UDE), LMU Munich, and the Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin has developed a new approach to this problem using artificial intelligence (AI).

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AI Model Identifies Potential Risk Genes for Parkinson's Disease

Researchers from the Cleveland Clinic Genome Center have successfully applied advanced artificial intelligence (AI) genetics models to Parkinson's disease. Researchers identified genetic factors in progression and FDA-approved drugs that can potentially be repurposed for PD treatment.

The npj Parkinson's Disease report uses an approach called “systems biology,” which uses AI to integrate and analyze multiple different forms of information from genetic, proteomic, pharmaceutical and patient datasets to identify patterns that may not be obvious from analyzing one form of data on its own.

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DMEA nova Award: Looking for the Best Idea for Digital Healthcare

8 - 10 April 2025, Berlin, Germany.
Innovative startups from the digital health sector can now apply for the DMEA nova Award 2025. We are looking for the best idea or solution that will significantly advance the healthcare sector.

With the DMEA nova Award, the DMEA, Europe's leading event for digital health, is focusing on outstanding solutions for digital healthcare.

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AI Tool that may Assist Underserved Hospitals

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for patients.

This includes using AI to assist in collecting and deciphering diagnostic data among medical professionals, particularly in underserved communities.

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Sam Neville Joins the Highland Marketing Advisory Board

Leading chief nursing information officer Sam Neville is joining the Highland Marketing advisory board. Sam brings a passion for nursing and safety to the board, which debates the big issues in NHS IT and advises the specialist health tech agency and its clients.

She has been a nurse for 30 years and became interested in the potential of digital in healthcare when she led an e-NEWS scoring implementation at what is now Mid and South Essex NHS Trust. She is currently associate director of clinical applications and CNIO at the trust, as well as regional CNIO and clinical safety officer for the East of England.

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One of the Largest Global Surveys of Society's Attitudes Toward Breakthrough Technologies

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch of one of the largest surveys examining global public sentiment towards transformative technology. The field work was conducted by market research company Ipsos.

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Deep Learning Model Helps Detect Lung Tumors on CT

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). The findings of the study could have important implications for lung cancer treatment.

According to the American Cancer Society, lung cancer is the second most common cancer among men and women in the U.S. and the leading cause of cancer death.

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New Biomarkers to Detect Colorectal Cancer

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer.

In a paper published in Frontiers in Oncology, researchers analysed one of the largest UK Biobank dataset of protein profiles from healthy individuals and colorectal cancer patients and highlighted three proteins - TFF3, LCN2, and CEACAM5 - as important markers linked to cell adhesion and inflammation, processes closely associated with cancer development.

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New Study Reveals AI's Transformative Impact on ICU Care with Smarter Predictions and Transparent Insights

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel artificial intelligence (AI) model is revolutionizing ICU care by not only improving predictions of patient length of stay, but also equipping clinicians with clear, evidence-based insights to guide critical decisions.

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