https://pages.htgaa.org/2026a/fatima-fragoso-hernandez/homework/week-07-hw-genetic-circuits-part-ii/index.htmlPart 1 HW Intracellular Artificial Neural Networks (IANNs), also known as neuromorphic circuits, provide significant advantages over traditional genetic circuits that rely on Boolean (digital) logic: a) Advantages of IANNs Biological Substrate Compatibility:** While digital logic attempts to force binary “on/off” behavior onto cells, IANNs operate through analog computation, which is much closer to the natural language of biology. Handling Non-linear Complexity:** Biological systems naturally manage highly non-linear and complex input-output relationships that Boolean logic oversimplifies. IANNs allow for the capture of these non-linearities and non-monotonic behaviors more robustly. Precision in Decision Boundaries: Unlike digital logic, which only recognizes “high” or “low” thresholds, IANNs can be programmed to respond to specific analog relationships (for example, activating only when two inputs are equal or when a weighted combination exceeds a bias), allowing for much more exact classification of cellular states. Flexibility and Scalability: The behavior of the circuit can be adjusted simply by modifying the translation rates of the components, allowing decision boundaries to be shifted without needing to redesign the entire system. b) Useful Application: Cancer Cell Classifier A primary application for IANNs is the creation of high-precision cell classifiers for cancer immunotherapy. Because there is rarely a single “magic” biomarker to distinguish a cancer cell from a healthy one, a sophisticated program is required to evaluate multiple signals simultaneously.Hugoen