The field of molecular communication is witnessing significant developments, with a focus on advancing the understanding of channel capacity and designing more efficient systems. Researchers are exploring new models, such as air-based molecular communication, and investigating the potential of existing techniques, like list decoding and deterministic identification, to improve the reliability and efficiency of molecular communication systems. Notably, innovative approaches to channel modeling and coding are being proposed, including the use of graph regularity lemmas and quantum hypothesis testing. These advancements have the potential to enable more accurate and efficient information transfer in various applications, including biomedical systems. Some noteworthy papers in this area include: List Decoding Expander-Based Codes up to Capacity in Near-Linear Time, which presents a new framework for list decoding and list recovery of codes based on spectral expanders. Identification over Poisson ISI Channels: Feedback and Molecular Applications, which investigates deterministic identification over discrete-time Poisson channels with inter-symbol interference and presents improved bounds on identification capacity. Quantum Hypothesis Testing Lemma for Deterministic Identification over Quantum Channels, which provides a full quantum analogue of the Hypothesis Testing Lemma and enables the construction of optimum codes for deterministic identification over quantum channels.