👉 Genes computing is an innovative approach to artificial intelligence and machine learning that seeks to model and understand the computational processes underlying biological gene functions and interactions. It involves using computational methods to simulate and analyze the behavior of genes, their regulatory networks, and how they interact with each other and the environment to drive biological processes. By treating genes as computational entities, researchers can develop algorithms that mimic these processes, enabling the prediction of gene functions, identification of regulatory mechanisms, and the design of synthetic biological systems. This approach leverages insights from computational biology, systems biology, and machine learning to bridge the gap between genetic information and biological outcomes, ultimately advancing our understanding of complex biological systems and facilitating applications in medicine, biotechnology, and synthetic biology.
