This paper summarized Professor PENG Peichu's experience in the differentiation and treatment of prostate cancer in three phases and four stages. It is considered that prostatic cancer is categorized into root deficiency and branch excess， with depletion of healthy qi as the root， and the accumulation of cancer toxin as the minifestation. Clinical diagnosis and treatment of prostatic cancer can be divided into three phases and four stages according to the exuberance and decline of pathogenic and healthy qi and the changes of deficiency and excess of yin and yang. In the initial accumulation phase of cancer toxin （yang excess stage）， the key pathogenesis is the accumulation of dampness， heat and static blood， and internal generation of cancer toxin， and the treatment should be resolving toxins， fighting cancer and dispelling yang excess. In the phase of healthy qi deficiency and toxin accumulation （yin deficiency stage）， with the lung and kidney yin deficiency， dampness， heat and static toxin accumulation as the key pathogenesis， the treatment should be centered on mutual generation between metal and water to nourish kidney yin， supplemented with the method of clearing heat and draining dampness， activating blood and resolving toxins， for which self-made Nanbei Formula（南北方）is usually used. In the phase of yang deficiency and cold stagnation （yang deficiency stage and yin excess stage）， with the spleen and kidney yang deficiency， cold dampness stagnation， static heat and toxin accumulation as the key pathogenesis， the treatment should be warming and tonifying spleen and kidney to dissipate cold accumulation； for deficiency of both yin and yang， and excess pathogen obstruction， modified Yanghe Decoction（阳和汤） is recommended， while for yang deficiency， cold congealing and blood stasis， self-made Wenshen Sanjie Formula（温肾散结方） can be used， and for cold dampness binding with cancer toxin， and cold complex with heat， self-made Quanan Formula （泉安方） is advised.

Objective:To explore the medication law of TCM compounds used in the treatment of non-small cell lung cancer (NSCLC).Methods:Clinical literature about TCM compounds in the treatment of NSCLC was retrieved from CNKI, Wanfang Data, PubMed and Web of Science core collection database from January 1st, 2003 to May 1st, 2023. The Python and the ancient and modern medical record cloud platform V2.3.7 were used to analyses frequency statistics and properties, and clustering analysis, factor analysis and association rule analysis were performed.Results:A total of 866 articles were included, with 660 effective TCM compounds, 647 kinds of Chinese materia medica. There were 36 kinds of high-frequency Chinese materia medica, such as Astragali Radix, Atractylodis Macrocephalae Rhizoma and Poria; the efficacy categories of Chinese materia medica mainly included tonics and phlegm resolving cough relieving and asthma relieving drugs. Cluster analysis obtained 4 clusters, factor analysis extracted 11 common factors, and association rule analysis obtained 37 highly supported combinations of Chinese materia medica. The most reliable triple drug combination among them was Astragali Radix-Atractylodis Macrocephalae Rhizoma-Hedyotis diffusa willd, and the double drug combination was Astragali Radix-Ligustri Lucidi Fructus.Conclusion:TCM for the treatment of NSCLC mainly focuses on strengthening the healthy qi, clearing heat, resolving phlegm and detoxifying toxins, supplemented by tonifying qi and activating blood circulation, dispelling dampness and resolving phlegm.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.