The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To investigate the correlation between ADC value and glioma IDH-1/1p19q genotype. Methods The MRI features and molecular pathological results of 69 patients with pathologically confirmed diagnosis of WHO grade Ⅱ/Ⅲ glioma between March 2013 and December 2020 were retrospectively analyzed. The diagnostic performance of ADC values on glioma genotypes (IDH-1, 1p19q) was evaluated using the ROC curve of the subjects' working characteristics. Results The ADCmean, ADC_min, rADC_mean, and rADC_min in the IDH-1 mutation group were significantly higher than those in the IDH-1 wild group (P < 0.05, P < 0.01, P < 0.05, P < 0.01). The use of the rADC_min threshold (0.979×10³mm²/s) had the highest efficacy (AUC=0.770) for diagnosis of IDH-1 mutant and IDH-1 wild-type gliomas as well as sensitivity and specificity of 84.61% and 59.09%, respectively. Conclusion ADC can be used as an imaging biomarker for noninvasive prediction of IDH-1 mutant and wild-type Ⅱ /Ⅲ gliomas.

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*

Transglutaminase (TG) posttranslational modification of antibody permits more precisely conjugating. Based on the amino acid sequence of an anti-CD24 antibody (cG7), this article is aimed to generate a deglycosylated cG7 mutant (cG7Q). Firstly, we introduced additional glutamines at position 297 (N297Q) by site-directed mutagenesis, and then transfected the recombinant plasmids into CHO-s cells via electroporation method and screened by Dot blot assay. Subsequently, cG7Q was expressed and purified through Protein A affinity chromatography, further identified by SDS-PAGE electrophoresis and Western blot. Its affinity was detected with surface plasmon resonance and flow cytometry assay, and ADCC effect was determined by lactate dehydrogenase (LDH) release. Eventually, a cG7 mutant, cG7Q was successfully expressed with sequence-specific conjugation sites for further study.

The aim of the experiments is to screen human single-chain variable fragment (scFv) targeting glypican 3 from phage display library, and analyze its biological activity. After several rounds of panning, the binders with high affinity were obtained through phage ELISA and IMGT analysis. The desired scFv gene was then ligated with pET-22b vector yielding recombinant plasmids, which was then introduced into E. coli Rosetta (DE3). Soluble scFv protein was expressed and further purified using Ni²⁺ affinity chromatography. The purified proteins were identified by SDS-PAGE and Western blot. Subsequently, the affinity and cell based binding activity were measured using Surface Plasmon Resonance (SPR) and flow cytometry assay, separately. Four enriched sequences with relatively high binding affinity were found (1F7, 1D7, 1D4 and 1B10). We also found that 1F7 scFv showed better targeting ability and higher affinity. The scFv could pave the way for new immunotherapies, such as bispecific anitbody, antibody-drug conjugate and chimeric antigen receptor T-cell immunotherapy cell, etc.

BACKGROUNDA multi-center large scale study is needed to confirm the efficacy and safety of domestic peritoneal dialysis (PD) solutions. Some researchers believe that 6 L/d is enough for adequate dialysis, but there is no multi-center prospective study on Chinese population to confirm this. In this study, we evaluated the efficacy and safety of domestic PD solution (Changfu) and its difference between 6 L and 8 L dosage.

METHODSAdult PD patients who had taken PD therapy for at least one month were selected and divided into four groups according to two dialysis solution brands and two dialysis dosages, i.e., 6 L dose with Changfu dialysis solution, 6 L dose with Baxter dialysis solution, 8 L dose with Changfu dialysis solution, and 8 L dose with Baxter dialysis solution. After 48 weeks, the changes of primary and secondary efficacy indices were compared between different types and different dosages. We also analyzed the changes of safety indices.

RESULTSChanges of Kt/V from baseline to 48 weeks between Changfu and Baxter showed no statistical differences; so did those of creatinine clearance rate (Ccr). Normalized protein catabolic rate (nPCR) from baseline to 48 weeks between Changfu and Baxter showed no statistical differences; so did those of net ultrafiltration volume (nUF) and estimated glomerular filtration rate (eGFR). Changes of nPCR from baseline to 48 weeks between 6 L and 8 L showed no statistical differences; so did those of nUF and eGFR. The decline of Kt/V from baseline to 48 weeks in 6 L group was more than that in 8 L group. Change of Ccr was similar. During the 48-week period, the mean Kt/V was above 1.7/w, and mean Ccr was above 50 L×1.73 m(-2)×w(-1). More adverse events were found in Changfu group before Changfu Corporation commenced technology optimization, and the statistical differences disappeared after that.

CONCLUSIONSThe domestic PD solution (Changfu) was proven to be as effective as Baxter dialysis solution. During 48-week period, a dosage of 6 L/d was enough for these patients to reach adequate PD. Clinical study promotes technological optimization, further helps to improve the safety indices of the medical products.

Adolescent ; Adult ; Aged ; Dialysis Solutions ; therapeutic use ; Female ; Humans ; Male ; Middle Aged ; Peritoneal Dialysis ; methods ; Young Adult