2 results about "Pig brain" patented technology

This invention relates to the field of bioinformatics processing and discloses a method and system for mining the structure-activity relationship (SMR) of porcine neurotrophic peptides based on sequence features. The method includes constructing an original sample index table and fusing multi-source production data, extracting peptide sequence features to generate a sequence feature matrix, constructing a sequence-process joint graph containing peptide nodes and process state nodes, training a structure-activity relationship graph neural network to mine SMR relationships, and deriving a process control decision table based on a process response sample set generated by the network, thereby achieving online optimization of the porcine neurotrophic peptide preparation process. This invention solves the problem of SMR mining caused by the separation of process parameters, sequence information, and activity data, achieving accurate characterization of the synergistic effect of sequence and process and reverse optimization of process parameters, thus improving the targeted enrichment efficiency and bioactivity retention level of target neurotrophic peptides.

This invention discloses a system and method for deep brain stimulation (DBS) electrode planning and reconstruction in pigs, belonging to the field of medical image processing and neurosurgical pathway planning technology. The invention includes an automatic registration module based on magnetic resonance (MR) images and standard pig brain atlases for accurate identification of target brain regions; a module for optimal electrode trajectory planning within the target area based on principal component analysis (PCA) and an electric field simulation module based on the Hodgkin-Huxley model for optimizing treatment effects and predicting volume of activated tissue (VTA); and a multimodal hybrid registration module based on postoperative computed tomography (CT) scans and preoperative MR images for accurate reconstruction of the actual electrode positions. This invention, through the combination of automated, data-driven planning and precise postoperative verification, significantly improves the accuracy, reliability, and efficiency of electrode implantation in pig brain DBS research.