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Modeling cancer immunoediting in tumor microenvironment with system characterization through the ising-model Hamiltonian.

Alfonso Rojas-DomínguezRenato Arroyo-DuarteFernando Rincón-VieyraMatias Alvarado-Mentado
Published in: BMC bioinformatics (2022)
The presented model is very flexible and robust, captures well the behaviors of the target system and can be easily extended to incorporate more variables such as those pertaining to different anti-cancer therapies. System characterization via the Ising-model Hamiltonian is a novel and powerful tool for a better understanding of CI and the development of more effective treatments. Since data of CI at the cellular level is very hard to procure, our hope is that tools such as this may be adopted to shed light on CI and related developing theories.
Keyphrases
  • squamous cell carcinoma
  • young adults
  • squamous cell
  • deep learning
  • artificial intelligence
  • drug induced