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MEDICA and COMPAMED 2026: From Innovation to Implementation - New Topics, Formats and Networks for the Healthcare of the Future

16 - 19 November 2026, Düsseldorf, Germany.
The healthcare industry is under growing pressure to translate innovation into care more quickly and consistently. This is precisely where MEDICA and COMPAMED 2026 come in: as platforms that not only reflect trends but also enable concrete implementation. With new themes, programme formats and targeted networking opportunities, both events are driving forward the transformation process launched in 2025.

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AI in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms

Rooted in thousands of years of clinical practice and holistic philosophy, Traditional Chinese Medicine (TCM) features a distinctive therapeutic model of “multicomponent, multitarget, multipathway” intervention guided by syndrome differentiation. This approach shows unique advantages in treating complex diseases including cancer, metabolic disorders, and infectious diseases. However, this inherent complexity also creates a major barrier to modern scientific interpretation:

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Doctors may Have Trouble Learning from Experience that Contradicts AI Advice

In experiments in which physicians made decisions about treating hypothetical patients, the physicians tended to trust incorrect advice presented as being generated by artificial intelligence (AI), even after given the opportunity to notice that patient recovery data contradicted the recommendations. Aranzazu Vinas of the University of the Basque Country, Spain, and colleagues present these findings in the open-access journal PLOS Digital Health.

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Meet Biomni - an AI-Powered Biomedical Co-Scientist

Researchers at Stanford University have announced the debut of Biomni - an AI-powered multi-skilled biomedical research agent. Biomni is no mere chatbot. It is a full-fledged “co-scientist” capable of designing and developing complex research workflows, said Jure Leskovec, the Alfred and Rebecca Lin Professor and professor of computer science in the School of Engineering and senior author of the paper introducing Biomni in the journal Science.

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Fighting the World's Deadliest Infection with PAC-MAN and AI

Tuberculosis, caused by the bacterium Mycobacterium tuberculosis (Mtb) is the world’s deadliest single-agent caused infection, responsible for 1.23 million deaths in 2024, according to the World Health Organization. The bacterium’s unique outer cell membrane is notoriously hard to penetrate, making few drugs, including antibiotics, effective in treating the disease.

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Countess of Chester Hospital NHS Foundation Trust Calls on Tech Firms to Inspire Staff at Elevate Showcase

Trust that already ‘punches above its weight’ on digital and health tech will inspire staff with the latest technology and ‘art of the possible’ innovations at the event on 20 July.

The Countess of Chester Hospital NHS Foundation Trust has become the latest organisation to announce that it will host an Elevate health tech showcase to inspire staff at all levels with the latest in technology and digital innovation.

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Physics-Informed AI could Accelerate Development of Controlled-Release Drug Patches, Bandages

Brown University researchers have developed a new artificial intelligence method for predicting the rate at which materials used in controlled drug-release systems will release therapeutic agents.

The new method could slash the development time for new therapeutic patches, bandages and implants.

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AI Mistakes can Cost Doctors Time when Writing to Patients

Artificial intelligence is spreading rapidly in health care, with the goal of streamlining critical but onerous clerical tasks such as note-taking and charting so that physicians and nurses can devote more time to patients.

But even when AI can free up doctors to correspond with patients, it may fall short in helping them do it by introducing errors and extraneous details into their messages, according to a new Dartmouth study presented at the 2026 Annual Meeting of the Association for Computational Linguistics and published in the conference proceedings.

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AI-Guided Pathology Analysis can Help Predict Immunotherapy Response in Rare Cancers

Researchers from The University of Texas MD Anderson Cancer Center demonstrated that an artificial intelligence (AI)-based analysis of tumor biopsies can predict responses to immunotherapy in a study of patients with rare cancers, published in the Journal for ImmunoTherapy of Cancer.

Led by Aung Naing, M.D., professor of Investigational Cancer Therapeutics, this analysis builds on recently published research that identified features in the tumor microenvironment that were predictive of immunotherapy response in patients with rare cancers, even in those who did not have known markers of immunotherapy response.

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Paris Street Medics Keep Cardiac Arrest Patients Alive with Rescue Therapy, Helped by Handheld Ultrasound and AR

Emergency medical service SAMU de Paris has achieved an out-of-hospital cardiac arrest survival rate four times the global average, through a rescue therapy called ECPR. Previously largely confined to hospitals, deployment on Paris streets has been supported in part with the help of handheld ultrasound technology and AR glasses from international health tech company Mindray.

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