Abstract submission is now open
Why present your research at VPH 2026?
- Present your latest research in the field of in silico medicine, digital twins and computational biomedicine
Gain feedback and recognition from an international community of experts
Connect with researchers, clinicians, and industry leaders worldwide to initiate collaborations, strengthen existing partnerships, and explore new career pathways.
Increase the visibility and impact of your work by presenting it on a high-profile international stage.
Engage with cutting-edge advances in digital twins, AI-driven healthcare, medical imaging, and data-driven medicine.
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Important information
- At least one author must register in full in order to attend the congress and present the abstract (in case of both Podium presentations and Posters).
- You may submit more abstracts, however, your abstract will be considered in competition with your other submissions.
- If the abstract is not deemed suitable for podium presentation, it will automatically be considered for poster presentation.
- List of VPH 2026 main topics (submission categories) is available below and in ConfTool.
- For each main topic, you may also choose a sub-topic to describe your research area more precisely. While selecting a sub-topic is optional, it is strongly recommended, as this information will support the review process and the development of the scientific programme.
- Abstract template use is mandatory, please download the template here.
- The abstract should be compiled without changing the styles (The easiest way to use this abstract form is by cutting and pasting unformatted text into each section to maintain the document’s present format.)
- The abstract should include the following sections: Introduction, Materials and Methods, Results, Discussion and Conclusions, and References.
- Abstracts must not exceed one page (a word count of approximately 500 words).
- The abstracts should be uploaded as PDF document through the conference website. Maximum size of the PDF file: 1MB.
- Each registered participant can present only one oral presentation and/or one poster presentation.
Main topics
- Computational and AI-driven drug delivery and design
- Credibility assessment, verification and validation of digital twins
- Decision support systems for clinical applications/technology
- Imaging for health and diseased conditions
- Industrial applications of digital twins for healthcare
- Integrated clinical-in silico case rounds
- In silico epidemiology
- In silico oncology
- In silico organ-on-a-chip
- In silico toxicology
- In silico trials
- Knowledge-driven vs data-driven models in healthcare
- Modelling health and diseased conditions
- Multi-omics data integration
- Neuroinformatics and brain-computer interfaces
- Regulatory for digital twins
- Systems biology and multi-scale modelling
- Tissue-medical device interaction
- Trusted AI and modelling in health and care: Ethical, legal and societal dimensions