Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Due to the small and numerous fracture fragments,achieving precise reduction and reliable fixation is a difficult point in orthopedic surgery for inferior pole fracture of the patella.With the exploration and verification of numerous surgeons,transosseous tunnel technique has shown important clinical value and application prospects in the treatment of inferior pole fracture of the patella.This technique provides fixed fulcrums by constructing transosseous tunnels,and has derived various surgery,including transosseous tunnel with high tension wire or steel wire fixation,combined titanium/tension band wiring,patellar concentrator,suture anchor,edge steel plate and so on.Clinical practice has proved that these surgeries can effectively maintain the stability of fracture reduction and have good clinical effects.This article reviews the research progress of transosseous tunnel technique in the treatment of inferior pole fracture of the patella,which provides a reference for the selection of clinical surgeries.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Colorectal cancer stands as a leading cause of cancer-related morbidity and mortality globally,with liver metastases being a significant determinant of patient prognosis.Conventional diagnostic methods,includ-ing imaging studies and biomarker testing,frequently exhibit inadequate sensitivity and specificity,underscoring the necessity for more advanced technologies.Recent advancements in genomics,transcriptomics,proteomics,me-tabolomics,and epigenomics have revolutionized our understanding of the biological mechanisms driving colorectal cancer.These methodologies enable comprehensive analyses of genetic mutations,gene expression profiles,protein modifications,and metabolic reprogramming,all of which are pivotal to the metastatic process.This article high-lights the advanced capabilities of artificial intelligence(AI)technologies in processing complex multi-omics data,thereby enhancing diagnostic accuracy and supporting personalized treatment strategies.It also addresses the challenges AI encounters in multi-omics analyses,such as ensuring data quality,improving model interpretability,and facilitating clinical translation.Additionally,it explores the potential integration of emerging technologies like single-cell sequencing and spatial omics into large-scale,multicenter studies to further enhance the clinical utility of these tools.

Colorectal cancer stands as a leading cause of cancer-related morbidity and mortality globally,with liver metastases being a significant determinant of patient prognosis.Conventional diagnostic methods,includ-ing imaging studies and biomarker testing,frequently exhibit inadequate sensitivity and specificity,underscoring the necessity for more advanced technologies.Recent advancements in genomics,transcriptomics,proteomics,me-tabolomics,and epigenomics have revolutionized our understanding of the biological mechanisms driving colorectal cancer.These methodologies enable comprehensive analyses of genetic mutations,gene expression profiles,protein modifications,and metabolic reprogramming,all of which are pivotal to the metastatic process.This article high-lights the advanced capabilities of artificial intelligence(AI)technologies in processing complex multi-omics data,thereby enhancing diagnostic accuracy and supporting personalized treatment strategies.It also addresses the challenges AI encounters in multi-omics analyses,such as ensuring data quality,improving model interpretability,and facilitating clinical translation.Additionally,it explores the potential integration of emerging technologies like single-cell sequencing and spatial omics into large-scale,multicenter studies to further enhance the clinical utility of these tools.

Due to the small and numerous fracture fragments,achieving precise reduction and reliable fixation is a difficult point in orthopedic surgery for inferior pole fracture of the patella.With the exploration and verification of numerous surgeons,transosseous tunnel technique has shown important clinical value and application prospects in the treatment of inferior pole fracture of the patella.This technique provides fixed fulcrums by constructing transosseous tunnels,and has derived various surgery,including transosseous tunnel with high tension wire or steel wire fixation,combined titanium/tension band wiring,patellar concentrator,suture anchor,edge steel plate and so on.Clinical practice has proved that these surgeries can effectively maintain the stability of fracture reduction and have good clinical effects.This article reviews the research progress of transosseous tunnel technique in the treatment of inferior pole fracture of the patella,which provides a reference for the selection of clinical surgeries.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

Analyzing polysorbate 20(PS20)composition and the impact of each component on stability and safety is crucial due to formulation variations and individual tolerance.The similar structures and polarities of PS20 components make accurate separation,identification,and quantification challenging.In this work,a high-resolution quantitative method was developed using single-dimensional high-performance liquid chromatography(HPLC)with charged aerosol detection(CAD)to separate 18 key components with multiple esters.The separated components were characterized by ultra-high-performance liquid chro-matography-quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)with an identical gradient as the HPLC-CAD analysis.The polysorbate compound database and library were expanded over 7-time compared to the commercial database.The method investigated differences in PS20 samples from various origins and grades for different dosage forms to evaluate the composition-process relationship.UHPLC-Q-TOF-MS identified 1329 to 1511 compounds in 4 batches of PS20 from different sources.The method observed the impact of 4 degradation conditions on peak components,identifying stable components and their tendencies to change.HPLC-CAD and UHPLC-Q-TOF-MS results provided insights into fingerprint differences,distinguishing quasi products.

The purpose of this study was to identify the tick species native to Xindi Township,Yumin County,Xinjiang,China.Preliminary morphological identification of parasitic ticks collected from animals in the area was conducted with an ultra-depth of field three-dimensional VHX 600 digital stereo microscope.Total DNA of the ticks was extracted,amplified by PCR based on the COI and ITS2 gene loci,and the posi-tive PCR products were sequenced.The sequence were a-ligned with reference sequences from the NCBI database were aligned with the Basic Local Alignment Search Tool.A genet-ic phylogenetic tree was generated with the neighbor-joining method of MEGA 7.0 software to determine the evolutionary biological characteristics of ticks.Morphological identification showed that the ticks collected from Xindi Township of Yu-min County were consistent with the characteristics of Hya-lomma asiaticum.An evolutionary tree based on the COI and ITS2 gene sequences showed that the ticks collected in this study were clustered with known H.asiaticum sequences.The PCR products of COI and ITS2 were sequenced and compared,which confirmed that the collected tick species were H.asiaticum,in agreement with the morphological and molecular biological results.These findings help to clarify the distribution of ticks in Xindi Township of Xinjiang,and provide basic data for the analysis of tick genetic and evolutionary characteristics,as reference for surveillance and control of ticks in the Xinjiang Uygur Autonomous Region.

OBJECTIVE To observe the short-term efficacy and safety of venetoclax combined with homoharringtonine and cytarabine in the treatment of acute myeloid leukemia （AML）. METHODS The data of 40 newly diagnosed AML patients admitted to our hospital from October 2022 to November 2023 were retrospectively collected and divided into observation group and control group according to treatment plan， with 20 cases in each group. The patients in the control group were given Daunorubicin hydrochloride for injection+Cytarabine for injection， and the patients in the observation group were given Venetoclax tablets+ Homoharringtonine injection+Cytarabine for injection. The patients in both groups were given relevant medicine， with 28 days as one cycle. The short-term efficacy， negative rate of minimal residual disease （MRD）， duration of granulocyte deficiency， duration of platelet （PLT） ＜20×109 L－1， transfusion volume of suspended red blood cells and platelet， and the occurrence of adverse drug reactions were evaluated in both groups after 1 cycle of induction chemotherapy. RESULTS The complete remission or complete remission with incomplete hematologic recovery （CR/CRi） rate in the observation group was significantly higher than control group （P＜0.05）， and the negative rate of MRD in the observation group was also significantly higher than control group （P＜0.05）. However， in low-， medium- and high-risk patients， there was no statistical significance in CR/CRi rates between the two groups （P＞0.05）. There were no significant differences in the duration of agranulocytosis， the duration of PLT ＜20×109 L－1， the amount of suspended red blood cell transfusion， the amount of platelet transfusion， the incidence of hematologic toxicity and the incidence of non-hematologic toxicity between 2 groups （P＞0.05）. CONCLUSIONS Venetoclax combined with homoharringtonine and cytarabine show good short-term efficacy and safety in the treatment of AML.