Research Log
A continuous record of experimental work, model evaluations, genetic tests, regenerative engineering progress, and neural–AI interface development.
CRISPR Signal Optimization Test
Conducted simulated gene-editing cycles using AI-driven off-target prediction. Improved correction accuracy by ~14% across 4 major gene clusters.
Tissue Repair Model Iteration
New parameter set for regenerative pathways increased model stability and reduced error variance under high-stress scenarios.
Cognitive Latency Mapping
Tested low-latency AI co-processing loop. Achieved stable 8–12 ms feedback window in conceptual simulation.
Micro-Repair Swarm Simulation
Simulated 4,000-unit micro-robotic swarm for vascular navigation. Achieved 92% pathfinding efficiency in branching structures.
Partial Reset Cycle Study
Ran controlled rejuvenation sequences. Noted measurable reversal in epigenetic deviation markers.
Model Scaling Test
Successfully scaled biological simulation model to 20× complexity. Stability maintained across 5M-step training cycles.
