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AI Tool Reveals What Attracts Immune Cells to Tumors and What Keeps them Away

Researchers at The University of Texas MD Anderson Cancer Center and collaborating institutions in Texas developed an artificial intelligence (AI) model that helps explain how immune cells find their way to specific locations in the body and why they avoid others. The findings could help scientists better understand cancer, autoimmune diseases and treatment response.

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Launch of First Europe-Wide Expert Group on AI in Mental Health

The first Europe-wide expert working group on Artificial Intelligence in mental health launched to the ECNP congress in Munich, where the group hosted an open discussion, setting out the potential, the problems, and possible directions for AI in psychiatry and neuroscience. Going forward, the group will set out plans to guide the regulation and development of artificial intelligence (AI) in mental health in Europe.

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FDA Issues Final Guidance on Prescription Drug Apps and Software

The U.S. Food and Drug Administration released final guidance establishing a clear framework for how drug companies can develop, distribute, and label apps used alongside their prescription medicines. The guidance ends longstanding uncertainty by providing recommendations about when app content is subject to FDA submission requirements, when an app should be mentioned on a drug’s official label, and what companies should submit to the agency.

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Analyzing the UK's Regulatory Framework Recommendations for Healthcare AI

JMIR Publications released a feature News and Perspectives article, written by JMIR Correspondent and MD-MBA candidate Tejas S, Athni, PhD, on recent developments out of the UK’s National Commission into the Regulation of AI in Healthcare (established by the Medicines and Healthcare Products Regulatory Agency).

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When AI Chatbots Give Bad Advice, No One can See the Damage

As more and more people turn to AI chatbots for quick, 24/7 medical advice, a new perspective paper co-authored by faculty at Binghamton University, State University of New York explores the risks this practice carries that are largely invisible to users - and healthcare systems.

The paper, written by researchers at Binghamton University, Stanford University, Texas A&M University, and Indiana University, and published in Nature Health, examines what happens when a chatbot gives someone bad health advice.

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EU4Health Work Programme 2026

The European Commission welcomes the positive opinion given by the Member States on the EU4Health Work Programme for 2026, which will support the implementation of EU priorities in the area of public health such as the Safe Hearts Plan, Critical Medicines Act and the European Health Data Space.

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EXIT-CVD Research Consortium Launches Clinical Studies to Transform Cardiovascular Care Across Europe

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the launch of the five-year EXIT-CVD research project, co-funded by the European Union Innovative Health Initiative (IHI) and the industry partners. The research consortium is led by University Medical Center Groningen (UMCG) and Philips, and aims to transform how cardiovascular disease is detected, monitored and treated.

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How Healthcare can Benefit from AI

Artificial Intelligence (AI) has had a transformative effect on healthcare. The technology has been tested and applied in almost every area, from disease diagnostics to AI-powered digital clinics.

The rationale always tracks back to efficiency: AI-technology will achieve more with less. In theory, greater efficiency contributes to sustainability.

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A New AI Tool Aids in the Diagnosis of Ewing Sarcoma

A team from the Universitat Politècnica de València (UPV) and the University of Valencia (UV) has developed and validated an artificial intelligence (AI) system capable of distinguishing Ewing sarcoma from other morphologically similar tumours with high accuracy. The model, which also enables the full optimisation of tissue use in biopsies, achieves 91.6% accuracy.

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How Future Health Care Leaders Practice Tough Decisions Before the Stakes are Real

Case-based learning, or CBL, is a teaching approach that asks students to apply what they know to realistic problems, weigh their options, and make decisions before the consequences are real. Today, the approach has evolved well beyond reading a case and discussing it in class.

The studies included in a new George Mason review capture some of these newer approaches.

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