Yiren Jian

Title: Yiren Jian: Innovator in T-Cell Receptor Prediction Technologies

Introduction

Yiren Jian is a prominent inventor based in West Lebanon, NH (US). He has made significant contributions to the field of personalized medicine through his innovative work on T-cell receptor (TCR) prediction technologies. His research focuses on enhancing decision-making processes in personalized medicine by predicting TCR-peptide interactions.

Latest Patents

Yiren Jian holds a patent titled "T-cell receptor repertoire selection prediction with physical model augmented pseudo-labeling for personalized medicine decision making." This patent outlines systems and methods for predicting TCR-peptide interactions. The process involves training a deep learning model to predict TCR-peptide interactions by determining a multiple sequence alignment (MSA) for TCR-peptide pair sequences. This is achieved using a sequence analyzer and building TCR and peptide structures from the MSA and corresponding structures from a Protein Data Bank (PDB) using a MODELLER. The method generates an extended TCR-peptide training dataset based on docking energy scores, classifying TCR-peptide pairs as positive or negative using pseudo-labels. The deep learning model is iteratively retrained until convergence, enhancing the accuracy of predictions.

Career Highlights

Yiren Jian is currently associated with NEC Corporation, where he continues to advance his research in TCR prediction technologies. His work has garnered attention for its potential impact on personalized medicine, particularly in improving treatment decisions for patients.

Collaborations

Yiren collaborates with Renqiang Min, contributing to the development of innovative solutions in the field of T-cell receptor research.

Conclusion

Yiren Jian's contributions to T-cell receptor prediction technologies represent a significant advancement in personalized medicine. His innovative approach and dedication to research continue to pave the way for improved healthcare solutions.