Published: 16 Jan 2026
Characterizing Immunodeficiencies Using Entropy Phase Transitions as Signatures of the Status of the Immune System
Volume 2
Published: 16 Jan 2026
Volume 2
Available Online: 20 Apr 2026
Volume 2
Available Online: 31 Mar 2026
Volume 2
Recent advances in generative artificial intelligence have begun to reshape the field of cell and immune engineering. By learning the statistical and structural principles underlying biological systems, generative models can now design T-cell receptors, chimeric antigen receptors, and synthetic immune circuits that satisfy complex requirements for affinity, stability, and specificity. When integrated into automated design–build–test–learn pipelines, these models facilitate iterative cycles of hypothesis generation, experimental validation, and model refinement, thereby..