on february 15, 2025, professor kong lingfei, chief expert of the department of pathology of henan provincial people's hospital and well-known domestic pathology expert, has officially joined jinfeng laboratory full-time, serving as the chief scientist of standardized pathological samples and digital resource library for major diseases, and has developed pathological ai and the breakthrough in precision diagnosis and treatment technology has injected strong momentum.

professor kong lingfei is an authoritative expert in the field of pathology in china. he is currently the vice president of the pathology physicians branch of the chinese medical association. he also serves as the director of the henan pathology quality control center and the president of the pathology physicians branch of the henan medical association. he has been deeply engaged in surgical pathological diagnosis. in 30 years, he has accumulated rich clinical experience in lymphohematopoietic tumors, central nervous system tumors, breast and gynecological tumors, published more than 70 papers and won 4 provincial and ministerial achievement awards. it is an important promotion of the development of domestic pathology disciplines. leading figure. from henan to chongqing, professor kong lingfei's new career chapter is not only an extension of his personal academic ambitions, but also a microcosm of collaborative innovation in the field of pathological ai in china.

professor kong lingfei's joining will accelerate the standardization of the pathological resource library. relying on his rich experience in integrating clinical pathological resources, we will build a high-quality pathological resource library covering multiple diseases and multimodals, providing real and comprehensive data support for ai model training. ; at the same time, accelerate the construction of a pathological data standardization system, strengthen the laboratory's underlying technical capabilities in the field of pathological data, help the laboratory achieve breakthroughs in intelligent diagnosis of major diseases, and contribute to the formulation of accurate diagnosis standards for diseases.