Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Objective To explore the effect of personality characteristics on the facial esthetic satisfaction of edentulous patients,in order to provide reference for improving esthetic satisfaction after complete denture restoration.Methods Twenty-two edentulous sub-jects were randomly selected.Before complete denture treatment,the emotional stability of patients was assessed by Eysenck personality questionnaire N scale score(EPQ-N).Before and three months after treatment,patients completed the orofacial esthetic questionnaire,and 3D stereophotogrammetry was performed to evaluate the changes in facial appearance.In addition,multiple linear regression model was established by using N scale score,changes in facial appearance and facial esthetic satisfaction score.Results After complete denture treatment,the difference in the ratio of the middle and lower parts of the face between patients and the normal group was re-duced by(3.85±2.63)%,and the difference of the nasolabial angle between patients and the normal group was reduced by(6.66°±5.39°).The multiple linear regression model showed that N scale score and changes of the differencein the facial proportion between edentulous subjects and normal population were influencing factors of patients'esthetic satisfaction on the facial appearance,and the N scale score and changes of the difference inthe nasolabial anglebetween patients and normal population were influencing factors of the patients'aesthetic satisfaction on the facial profile.Moreover,the effect of two independent variables(N scale score and facial soft tissue change)on the aesthetic satisfaction of facial appearance and facial profile was statistically significant(P＜0.001).Furthermore,when the N score increased,the patients'aesthetic satisfaction on the facial appearance and facial profile decreased(B＜0).Conclusion Personality can affect the aesthetic satisfaction of edentulous patients.Consequently,we should take reasonable measures for patients with different personality in the process of complete denture restoration,so as to achieve the goal of improving patients'aesthetic satisfaction.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

OBJECTIVE To observe the effects of chlorogenic acid on the activation of macrophage induced by lipopolysaccharide （LPS）， and to explore the role of triggering receptors expressed on myeloid cells-2 （TREM2） in the action. METHODS To find a suitable LPS concentration， the cells were cultured with 1， 10 and 100 ng/mL LPS for 24 h. The level of interleukin 6 （IL-6） in the cell culture supernatant and protein expression of inducible nitric oxide synthase （iNOS） in the cells were detected. To search for a suitable chlorogenic acid concentration， the cells were divided into control group， LPS group and three chlorogenic acid （0.01， 0.1 and 1 μmol/L）+LPS groups. The levels of tumor necrosis factor α （TNF-α） and IL-1β in the cell culture supernatant， the protein expressions of iNOS and TREM2 in the cells and cell viability were detected. To observe the effects of TREM2 in chlorogenic acid alleviating macrophage activation， TREM2-small interfering RNA （TREM2-siRNA） was taken to intervene in TREM2 protein expression. The cells were divided into control group， LPS group， chlorogenic acid+LPS group， TREM2-siRNA+chlorogenic acid+LPS group and SC-siRNA+chlorogenic acid+LPS group. After 24 h incubation， the levels of TNF- α and IL-1β in the cell culture supernatant and protein expressions of TREM2， iNOS and nuclear factor κB p65 （NF-κB p65） in the cells were detected. RESULTS 10 ng/mL LPS promoted IL-6 release and increased iNOS protein expression， and 10 ng/mL LPS was taken in the next experiments. Compared with the LPS group， 0.1 μmol/L chlorogenic acid decreased TNF-α jiaji1981@126.com and IL-1β levels， and down-regulated iNOS expression，meanwhile increased TREM2 expression without effect on cell viability， and 0.1 μmol/L chlorogenic acid was taken in the next experiments. Compared with the control group， the protein expressions of iNOS and NF- κB p65 in the LPS group were significantly increased （P＜0.05）； compared with the LPS group， the protein expressions of iNOS and NF- κB p65 in the chlorogenic acid+LPS group were significantly decreased， the protein expressions of TREM2 was significantly increased （P＜ 0.05）； compared with the chlorogenic acid+LPS group， the protein expressions of iNOS and NF-κB p65 of TREM2-siRNA+ chlorogenic acid+LPS group were significantly increased， the protein expressions of TREM2 was significantly decreased （P＜0.05）. TREM2-siRNA could significantly reverse the above effects of chlorogenic acid， while SC-siRNA did not significantly affect the above anti-inflammatory effects of chlorogenic acid. CONCLUSIONS Chlorogenic acid can inhibit the LPS-induced macrophage activation， and its anti-inflammatory may be mediated by TREM2 protein.

Objective To investigate the effects of paclitaxel and doxorubicin on the immune microenvironment of breast cancer in mice. Methods The CTR-DB database, a database for analysis of gene expression profiles and drug resistance characteristics related to tumor drug response, was used to analyze the effect of chemotherapeutic drugs on the immune microenvironment of breast cancer. Mouse models with breast cancer were established by in situ injection with 4T1 cells, a triple-negative breast cancer (TNBC) cells. Then they were treated with doxorubicin and paclitaxel, respectively. The sizes of tumor were recorded and analyzed by growth curve. The number of different types of immune cells was analyzed using flow cytometry. The expressions of Ki67, S100 calcium binding protein A9 (S100A9) and matrix metalloproteinase 9 (MMP9) were detected by immunohistochemistry. The cell cycles of 4T1 cells in paclitaxel group and doxorubicin group were analyzed by flow cytometry. Results The results of CTR_Microarray_75 analysis showed that the immune scores, and the number of cytotoxic lymphocytes, B lineages, CD8⁺ T cells, dendritic cells (DCs), monocytic lineages and natural killer (NK) cells in chemotherapy-sensitive breast cancer were higher than those in chemotherapy-insensitive breast cancer. Through growth curve analysis in mice with breast cancer, we found that both paclitaxel and doxorubicin could inhibit the increase of the tumor sizes, and the paclitaxel showed a higher inhibitory effect. The results of cytometry displayed that both paclitaxel and doxorubicin could restrain the expression of Ki67 and increase the number of breast cancer cells in G2/M phase, and in the paclitaxel group, the expression of Ki67 was lower and the number of breast cancer cells in G2/M phase was larger. Paclitaxel and doxorubicin enhanced the infiltration of CD45⁺ immune cells but decreased the infiltration of neutrophils. Additionally, paclitaxel promoted the infiltration of CD3⁺CD4⁺ T helper cells, CD3⁺CD8⁺ cytotoxic T cells and CD45⁺CD19⁺B cells, while doxorubicin increased the infiltration of CD4⁺CD25⁺ regulatory T cells (Tregs). The results of immunohistochemistry displayed that the paclitaxel significantly inhibited the expression of S100A9, while the doxorubicin significantly restrained the expression of MMP9. Conclusion Paclitaxel and doxorubicin can effectively inhibit the growth of breast cancer cells and change immune microenvironment of TNBC by regulating the different patterns of cell infiltration and the expression of different extracellular matrix components.
Animals ; Mice ; Humans ; Paclitaxel/pharmacology* ; Matrix Metalloproteinase 9 ; Triple Negative Breast Neoplasms/drug therapy* ; CD8-Positive T-Lymphocytes ; Ki-67 Antigen ; Doxorubicin/pharmacology* ; Calgranulin B ; Tumor Microenvironment

OBJECTIVE: To examine the anti-inflammatory effects and potential mechanisms of polypeptide from Moschus (PPM) in lipopolysaccharide (LPS)-induced THP-1 macrophages and BALB/c mice. METHODS: The polypeptide was extracted from Moschus and analyzed by high-performance liquid chromatography and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Subsequently, LPS was used to induce inflammation in THP-1 macrophages and BALB/c mice. In LPS-treated or untreated THP-1 macrophages, cell viability was observed by cell counting kit 8 and lactate dehydrogenase release assays; the proinflammatory cytokines and reactive oxygen species (ROS) were measured by enzyme-linked immunosorbent assay and flow cytometry, respectively; and protein and mRNA levels were measured by Western blot and real-time quantitative polymerase chain reaction (qRT-PCR), respectively. In LPS-induced BALB/c mice, the proinflammatory cytokines were measured, and lung histology and cytokines were observed by hematoxylin and eosin (HE) and immunohistochemical (IHC) staining, respectively. RESULTS: The SDS-PAGE results suggested that the molecular weight of purified PPM was in the range of 10-26 kD. In vitro, PPM reduced the production of interleukin 1β (IL-1β), IL-18, tumor necrosis factor α (TNF-α), IL-6 and ROS in LPS-induced THP-1 macrophages (P<0.01). Western blot analysis demonstrated that PPM inhibited LPS-induced nuclear factor κB (NF-κB) pathway and thioredoxin interacting protein (TXNIP)/nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain containing 3 (NLRP3) inflammasome pathway by reducing protein expression of phospho-NF-κB p65, phospho-inhibitors of NF-κB (Iκ Bs) kinase α/β (IKKα/β), TXNIP, NLRP3, apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), and pro-caspase-1 (P<0.05 or P<0.01). In addition, qRT-PCR revealed the inhibitory effects of PPM on the mRNA levels of TXNIP, NLRP3, ASC, and caspase-1 (P<0.05 or P<0.01). Furthermore, in LPS-induced BALB/c mice, PPM reduced TNF-α and IL-6 levels in serum (P<0.05 or P<0.01), decreased IL-1β and IL-18 levels in the lungs (P<0.01) and alleviated pathological injury to the lungs. CONCLUSION PPM could attenuate LPS-induced inflammation by inhibiting the NF-κB-ROS/NLRP3 pathway, and may be a novel potential candidate drug for treating inflammation and inflammation-related diseases.

PURPOSE: Child head injury under impact scenarios (e.g. falls, vehicle crashes, etc.) is an important topic in the field of injury biomechanics. The head of piglet was commonly used as the surrogate to investigate the biomechanical response and mechanisms of pediatric head injuries because of the similar cellular structures and material properties. However, up to date, piglet head models with accurate geometry and material properties, which have been validated by impact experiments, are seldom. We aim to develop such a model for future research. METHODS: In this study, first, the detailed anatomical structures of the piglet head, including the skull, suture, brain, pia mater, dura mater, cerebrospinal fluid, scalp and soft tissue, were constructed based on CT scans. Then, a structured butterfly method was adopted to mesh the complex geometries of the piglet head to generate high-quality elements and each component was assigned corresponding constitutive material models. Finally, the guided drop tower tests were conducted and the force-time histories were ectracted to validate the piglet head finite element model. RESULTS: Simulations were conducted on the developed finite element model under impact conditions and the simulation results were compared with the experimental data from the guided drop tower tests and the published literature. The average peak force and duration of the guide drop tower test were similar to that of the simulation, with an error below 10%. The inaccuracy was below 20%. The average peak force and duration reported in the literature were comparable to those of the simulation, with the exception of the duration for an impact energy of 11 J. The results showed that the model was capable to capture the response of the pig head. CONCLUSION This study can provide an effective tool for investigating child head injury mechanisms and protection strategies under impact loading conditions.
Animals ; Swine ; Finite Element Analysis ; Skull/injuries* ; Craniocerebral Trauma/diagnostic imaging* ; Brain ; Biomechanical Phenomena ; Scalp

Objective:To analyze the individual iodine nutrition status and its influencing factors among students aged 8 to 15 in Dongtai City, Jiangsu Province.Methods:From May to August 2021, a total of 905 students aged 8 to 15 were selected as survey subjects in Dongtai City based on the sampling method in the "National Monitoring Plan for Iodine Deficiency Disorders" (2016 version). Salt samples from students' homes were collected for salt iodine testing. Urine samples of students were collected for urinary iodine and creatinine testing. The creatinine correction method was used to estimate individual 24 h urinary iodine excretion and calculate iodine intake. At the same time, basic information (age, gender, height, weight, etc.) and consumption frequency of iodine rich foods (seafood, eggs, meat, milk, solid snacks) of students were collected through questionnaires and actual measurements.Results:The coverage rate of iodized salt in Dongtai City was 98.2% (889/905), the qualified rate of iodized salt was 97.9% (870/889), and the consumption rate of qualified iodized salt was 96.1% (870/905). The median estimated 24 h urinary iodine excretion was 179.7 μg/d. The median estimated iodine intake was 195.4 μg/d, the constituent ratio of estimated iodine intake < recommended nutrient intake (RNI) was 16.2% (147/905), RNI-tolerable upper intake level (UL) was 63.4% (574/905), and > UL was 20.3% (184/905). The medians estimated 24 h urinary iodine excretion of students aged 8-10, 11-13 and 14-15 were 157.4, 193.0 and 236.5 μg/d, respectively, and the difference was statistically significant ( H = 55.42, P < 0.001). The median estimated 24 h urinary iodine excretion of boys was higher than that of girls (222.6 vs 148.6 μg/d), and the median estimated 24 h urinary iodine excretion of urban students was higher than that of township students (215.6 vs 162.7 μg/d), the differences were statistically significant ( Z = - 8.41, - 5.66, P < 0.001). There were statistically significant differences in the median estimated 24 h urinary iodine excretion between students with different body mass index (weight loss, overweight, obesity, normal; H = 56.15, P < 0.001) and iodine rich foods consumption frequencies (seafood, meat, milk, eggs, solid snacks; H = 23.15, 21.20, 60.77, 20.01, 24.47, P < 0.001). Conclusion:Iodine deficiency or excess exists in students aged 8-15 in Dongtai City, and girls aged 8-10 who are physically emaciated are the focus of attention for iodine deficiency.

Objective:To explore the feasibility of synthetic diamond detector in use for Flash radiation dosimetry by designing a diamond dosimeter and conducting a series of dosimetric characteristic tests.Methods:A diamond detector system prototype with real-time current output was developed using a CIVIDEC? B1HV diamond sensor and designing a large dynamic range current measurement circuit based on the pre-integration method. The dose (dose-rate) response linearity was tested under irradiation from both electron beam and X ray ultra-high dose rate. Dose (dose-rate) calibration was performed against a medical accelerator to gain the charge-dose transfer coefficient.Results:Good linear correlation ( R2 = 0.99) between detector output charge and reference dose per pulse was shown under electron beam irradiation of 0.08-0.50 Gy/pulse. Good linearity ( R2 = 0.99) is also shown under irradiation from electron beam with ultra-high dose rate (400 Gy/s) and conventional dose rate (0.5 Gy/s). Strictly linear correlation ( R2 = 1) was shown between detector output integrated charge and reference dose under X ray irradiation at ultra-high average dose rate (75.5 Gy/s) and conventional average dose rate (0.5 Gy/s). The charge-dose and current-dose rate conversion factors for practical use were 0.751 7 μC/Gy and 0.753 5 μA·Gy·s -1, respectively. Conclusions:Considerable linearity of the diamond detector dose responses were shown under irradiation both from electron beam and X-ray beam, which could provide a relatively rapid and accurate dosimetry for Flash preclinical experiments. Furthermore, diamond detectors have great potential in the quality assurance for Flash radiotherapy.

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*