https://pages.htgaa.org/2026a/mariana-diaz-luna/homework/week-07-hw-genetic-circuits-part-ii/index.htmlPart 1: Intracellular Artificial Neural Networks (IANNs): What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? These IANNs have several advantages compared to traditional genetic circuits: Continuous responses instead of binary outputs, which makes them more similar to real biological systems, where gene expression is not just “on or off” but varies in intensity. Better handling of noisy biological environments, because IANNs can integrate multiple inputs and average signals, making them more robust to fluctuations caused by these noisy systems. Ability to learn complex patterns compared to Boolean circuits that are limited to simple logic, while IANNs can approximate complex nonlinear functions allowing more sophisticated decision-making. This neural-like architectures can be extended to multiple layers, enabling hierarchical processing. IANNs are more biologically realistic, since gene regulatory networks in cells already behave more like analog systems. Describe a useful application for an IANN; include a detailed description of input/output behavior, as well as any limitations an IANN might face to achieve your goal. Application: Smart cancer cell detection and response systemHugoen