We are delighted to share that Elia Biganzoli presented our work on Epigenetic Intelligence at the Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2025) conference, held in Milan.
In his talk, Elia introduced Epigenetic Intelligence as a novel framework inspired by neuro-symbolic artificial intelligence, where epigenetic mechanisms are understood as learning systems capable of integrating memory, adaptation, and environmental responsiveness. This perspective highlights how specific epigenetic markers can serve as symbolic, stable signals, while repetitive genomic elements provide a more flexible, probabilistic layer — together enabling cells to “think” at the molecular level.
The presentation emphasized how this conceptual model can open new perspectives across disciplines: in biomedicine, to better understand the imprint of environmental exposures on health; in artificial intelligence, to inspire hybrid architectures that combine stability with adaptability; and in evolutionary biology, to frame the epigenome as a learning machine.
This contribution was presented within the framework of INES (Initiative of Epigenetics for Smiles), underscoring our commitment to exploring the intersections between epigenetics, computation, and health.