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PreprintAll rights reservedmedRxiv

Prospective In-silico Simulation of the VESALIUS-CV Trial Using Biomedical Knowledge Graph and Real-World Data-Driven AI Modeling

  • A. Perlman1
  • N. Goldstein
  • M. Goldman
  • M. Shapiro
  • E. Barash
  • A. Bar
  • T. Raveh
  • E. Tordjman
  • H. Schussheim
  • F. Dormont
  • O. Matalon
  1. 1QuantHealth
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Cite

BibTeXRIS
BibTeX
@misc{perlman2026prospective,
  title = {{Prospective In-silico Simulation of the VESALIUS-CV Trial Using Biomedical Knowledge Graph and Real-World Data-Driven AI Modeling}},
  author = {A. Perlman and N. Goldstein and M. Goldman and M. Shapiro and E. Barash and A. Bar and T. Raveh and E. Tordjman and H. Schussheim and F. Dormont and O. Matalon},
  howpublished = {medRxiv},
  year = {2026},
  month = aug,
  doi = {10.64898/2026.08.26.26361436},
  url = {https://www.medrxiv.org/content/10.64898/2026.08.26.26361436v1},
}
RIS
TY  - UNPB
TI  - Prospective In-silico Simulation of the VESALIUS-CV Trial Using Biomedical Knowledge Graph and Real-World Data-Driven AI Modeling
AU  - A. Perlman
AU  - N. Goldstein
AU  - M. Goldman
AU  - M. Shapiro
AU  - E. Barash
AU  - A. Bar
AU  - T. Raveh
AU  - E. Tordjman
AU  - H. Schussheim
AU  - F. Dormont
AU  - O. Matalon
PY  - 2026
DA  - 2026/08/26
PB  - medRxiv
DO  - 10.64898/2026.08.26.26361436
UR  - https://www.medrxiv.org/content/10.64898/2026.08.26.26361436v1
ER  -