Projects
Building the future of predictive medicine
Our projects translate advanced computational biology and AI into real-world impact,
addressing unmet medical needs through innovation, collaboration, and scientific excellence.
AI-powered digital twin system for pancreatic cancer
CancerScan is developing an AI-powered platform to analyse the tumour microenvironment and predict patient response to therapy, with pancreatic cancer as the first clinical model. The platform integrates histopathology, imaging, multi-omics data, organoid experiments, and computational modelling to better understand how tumour biology influences treatment outcomes. It is designed to support both clinical decision-making and drug development by enabling more personalised prediction of therapeutic response.
TME analysis
Identifying and classifying key components of the tumour microenvironment.
Therapy response prediction
Simulating how an individual tumour may respond to different treatment options.
Clinical decision support
Providing structured insights for pathologists and oncologists.
Drug development support
Helping predict drug efficacy in preclinical and clinical research.
Generative AI digital twin for breast cancer
ABIGAIL4D is a next-generation platform that combines generative AI and longitudinal data to model breast cancer evolution in 4 dimensions (time, biology, treatment, and patient context). It leverages multi-agent AI to provide personalised decision support.
Disease evolution modelling
Modelling how breast cancer may change and progress during treatment and follow-up.
Combining patient data
Bringing together imaging, pathology, genomics, and clinical information into one connected view of the patient.
Comparing treatment options
Estimating how different treatment strategies may affect an individual patient’s outcome, benefit, and risk.
Multi-agent decision support
Using specialised AI agents to generate explainable recommendations with quantified uncertainty.
FUTURE RESEARCH INNITIATIVES
A selection of Neovivum-led research concepts currently under review for future funding innitiatives.
CROWNED
Digital twins for rational nanomedicine design
Developing AI-powered approaches to predict how protein corona formation affects nanoparticle targeting, enabling more efficient and cost-effective nanomedicine development.
MOSAIC
Multi-organ digital twins for translational medicine
Combining organ-on-chip systems and AI-powered digital twins to model complex interactions between organs and improve prediction of treatment efficacy and safety.
MINDSET
Programmable bioelectric tissue regeneration
Exploring magnetically controlled bioelectric signalling to direct tissue repair and accelerate wound healing through precision regenerative medicine.
SOFTWIN
Research capacity and soft robotics innovation
Building advanced capabilities in soft robotics, multi-material fabrication, and unconventional computing through international collaboration and knowledge transfer.