With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Human ribosomal DNA (hrDNA) targeting vector pHr is a homologous recombinant plasmid for human genome which developed in the State Key Laboratory of Medical Genetics. pHr was used to construct a recombinant plasmid pHr-CMG expressing mda-7/GFP fusion gene and its efficacy in the hepatocellular carcinoma cell line Bel-7402 was investigated. The expression of mda-7/GFP fusion gene was detected by fluorescent microscope, RT-PCR and Western blotting, and its function was detected by cell-cycle analyses, MTT assay and Hoechst33258 staining. The results demonstrated that pHr-CMG vector could express MDA-7/GFP fusion protein effectually and the mda-7 gene could induce cell apoptosis and proliferation suppression in Bel-7402 cell line, which might be caused by the G2/M cell cycle arrest. These results also suggested that human ribosomal DNA targeting vector system and the pHr-CMG vector may be applied in further gene therapy researches for hepatocellular carcinoma.

OBJECTIVETo observe the effects of series of Muskone (the muskone includes Slender Dutchmanspipe Root, Inula Root and neither kind of Common Aucklandia Root) on the heart hemodynamics and myocardial consumption of oxygen in experimental dogs, and to explain its pharmacological action on cardiovascular system.

METHODArterial blood pressure, coronary blood flow, resistance in coronary artery, total peripheral resistance, work of left artrium and oxygen consumption index of the cardiac muscles were observed in anaesthetic dogs.

RESULTThe series of Muskone decreased arterial blood pressure significantly, dilated coronary artery and peripheral arteries significantly, increased coronary blood flow, decreased resistance in coronary artery, improved the work of left artrium, the oxygen availability of cardiac muscles and the complaisance of arteries in cardiac muscles.

Animals ; Aristolochia ; chemistry ; Asteraceae ; chemistry ; Blood Pressure ; drug effects ; Coronary Circulation ; drug effects ; Cycloparaffins ; isolation & purification ; pharmacology ; Dogs ; Drug Combinations ; Female ; Heart ; drug effects ; physiology ; Hemodynamics ; drug effects ; Inula ; chemistry ; Male ; Myocardium ; metabolism ; Oxygen Consumption ; drug effects ; Plant Roots ; chemistry ; Plants, Medicinal ; chemistry ; Vascular Resistance ; drug effects