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Calls for Global Guidelines for Safer AI Use in Medicine

A world-first review led by Adelaide University researchers has found there’s a lack of clear guidelines around the early testing of AI tools in health clinics, during a process known as silent trials.

The global scoping review looked at this early phase of testing and revealed huge variations in the way the trials are being conducted and the measures used to assess the effectiveness of the tools.

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AI-Guided Protein Design for Enhanced Intracellular Antibodies

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion of antibody sequences into functional intracellular antibodies (intrabodies) that are stable within living cells. By preserving antigen-binding regions and improving structural stability, the approach overcomes major barriers encountered in intrabody development - emerging as a simpler, more cost-effective tool for diagnostics, imaging, and biomedical research.

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AI Predicts Success of Hip Operations

In 2024, approximately 200,000 people in Germany received artificial hip joints, making this operation one of the most common orthopedic procedures in German hospitals. In most cases, such operations are performed to treat hip osteoarthritis, which is the result of wear on the cartilage surfaces of the femoral (thigh bone) head and the hip socket. In terms of mobility and freedom from pain, patients react differently to total hip replacement.

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New AI Tool may Help Personalize Ovarian Cancer Treatment from Day One

Researchers from the University of Minnesota Medical School, in collaboration with Emory University and the Georgia Institute of Technology, have developed a new artificial intelligence (AI) biomarker tool that may help predict how ovarian cancer patients will respond to treatment at the time of diagnosis. The findings were published in the British Journal of Cancer ReportsExternal link that opens in the same window.

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AI Model can Read and Diagnose a Brain MRI in Seconds

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests.

The model detected neurological conditions with up to 97.5% accuracy and predicted how urgently a patient required treatment.

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DMEA 2026: Digitalisation in the Political Spotlight

21 - 23 April 2026, Berlin, Germany.
The digital transformation of healthcare has long been a central topic in health policy: DMEA 2026 will once again put it at the centre of the health policy discussion in Berlin. Numerous high-ranking political representatives have announced their participation in Europe's leading event for digital health.

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Powerful AI can Help Diagnose Substance Use Disorder

Diagnosing substance-use disorder can be difficult because of patient denial related to the stigma attached to addiction.

But a new study by the University of Cincinnati uses a novel artificial intelligence to predict substance use defining behaviors with up to 83% accuracy and 84% accuracy to predict the severity of the addiction. Researchers say this could allow clinicians to provide treatment faster to patients who need it.

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AI Tool Predicts Brain Age, Cancer Survival, and other Disease Signals from Unlabeled Brain MRIs

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI datasets to perform numerous medical tasks, including identifying brain age, predicting dementia risk, detecting brain tumor mutations and predicting brain cancer survival. The tool. known as BrainIAC, outperformed other, more task-specific AI models and was especially efficient when limited training data were available.

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PreciseOnco Research Consortium Awarded EUR 14.9 Million IHI Grant to Drive Breakthroughs in Precision Cancer Treatment

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that the PreciseOnco consortium, coordinated by Philips, has been awarded funding from the EU’s Innovative Health Initiative (IHI) to advance precision cancer treatment through the integration of advanced medical imaging, robotic assistance, and minimally invasive therapies.

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Smart Health Europe: Messe Berlin and Bitkom Launch International Congress and Trade Show on the Digitalisation of Healthcare

13 - 15 April 2027, Berlin, Germany.
Smart Health Europe will take place for the first time at the Berlin Exhibition Grounds from 13 to 15 April 2027. With a mix of trade fair, congress and networking, it brings together decision-makers from business, healthcare, science and research, and politics.

Messe Berlin and the digital association Bitkom are launching Smart Health Europe, a new international event format for digital health.

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