ReviewComputational and structural biotechnology journal2024
Towards generative digital twins in biomedical research.
Review in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed.
- Clinical trials in a dish: cardiometabolic drug development with biological and digital twins.The Journal of clinical investigation · 2026Review
- Integration of biological avatars and digital twins for "ex vivo clinical trials".EBioMedicine · 2026Review
- Spatial ecotype in tumor immune exclusion: from spatial architecture to therapeutic strategies.Molecular cancer · 2026Review
- Article
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Artificial intelligence virtual extracellular vesicles (AIVEVs).Bioactive materials · 2026Review
- Generative cerebral vasculature visualization using spatial transcriptomic data.Scientific reports · 2026Article
- Best practices in mouse models of skin transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026Review
- From Biomedical Datasets to Fairness-Aware Recommendations: An Integrated Data Orchestration Pipeline for Binary Clinical Predictions.Computational and structural biotechnology journal · 2026Article
- Exploring transformer models: Fine-tuning VS inference on relation extraction from biomedical texts.Computational and structural biotechnology journal · 2026Article
- Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025Review
- Development and validation of a computational tool to predict treatment outcomes in cells from high-grade serous ovarian cancer patients.Bioengineering & translational medicine · 2025Article
- Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews.Journal of clinical medicine · 2025Review
- Advancing rare disease therapeutics through digital twins: Opportunities in drug development and precision dosing.Computational and structural biotechnology journal · 2025Review
- Modeling the therapeutic dynamics of acupuncture and moxibustion: a systems biology approach to treatment optimization.Computational and structural biotechnology journal · 2025Article
- Taking the 3Rs to a higher level: replacement and reduction of animal testing in life sciences in space research.Biotechnology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital twins in biomedical research, i.e. virtual replicas of biological entities such as cells, organs, or entire organisms, hold great potential to advance personalized healthcare. As all biological processes happen in space, there is a growing interest in modeling biological entities within their native context. Leveraging generative artificial intelligence (AI) and high-volume biomedical data profiled with spatial technologies, researchers can recreate spatially-resolved digital representations of a physical entity with high fidelity. In application to biomedical fields such as computational pathology, oncology, and cardiology, these generative digital twins (GDT) thus enable compelling
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.