- Open-source Electrical Impedance Tomography (EIT) for low-cost biomedical imaging was showcased at 34C3; all hardware, firmware, and dashboard code are available under the “OpenEIT” GitHub organization.  
- CADEE (Computer-Aided Directed Evolution of Enzymes) was highlighted—an empirical-valence-bond framework that rapidly screens thousands of in-silico enzyme mutants for catalytic efficiency at modest computational cost; code is on GitHub at kamerlinlab/cadee.  
- Discussion of ultra-low-cost dNTP sourcing explored extracting nucleotides from strawberries followed by enzymatic tri-phosphorylation to reach a <$10 kg⁻¹ target for large-scale bio-experiments.  
- Critique of current “AI-for-biochemistry” hype pointed to over-reliance on off-the-shelf ML libraries without integration to robotic lab automation; open platforms such as Opentrons and Transcriptic were cited as necessary infrastructure.  
- Interest in ODIN CRISPR kits and associated public protocol folders was expressed, including a “glowing beer” bioluminescence recipe.  
- DeepMind’s PathNet paper was shared as a potentially “mind-blowing” advance in modular neural-network pathways.  
- A tongue-in-cheek debate compared mouse, dog, and human testicular tissue as gene-therapy cell sources, underscoring a preference for autologous human cells.