The patient's right of informed consent is the key issue that must be paid attention to in the identification of medical damage cases.In judicial practice,expert opinion plays an important role in supporting the judicial judgment results of medical injury disputes.However,in terms of causality and cause force,it is not uncommon that there are discrepancies between trial results and expert opinions,and it is often related to the judgment of informed consent.By the analysis of two cases with medical damage identification and judicial judgment,it is found that the fault of diagnosis and treatment is often confused with the fault of notification in the expert opinion,and no distinction is made in causation and cause force analysis.In fact,it is against the original intention of law and judicial interpretation,and does not conform to the actual situation of difference between the two kinds of faults.It is necessary to re-understand the differences and connections between the two faults,accurately distinguish different situations and use different expression methods in the expression of expert opinion to better serve the judicial trial.

Thirty-five cases of medical damage liability disputes concerning orthopedic omission of diagnosis that were made public in the China Judgement and Documentation Network during 2021—2023 were analyzed.The basic situation of the cases,appraisal opinions,liability composition,damage consequences,and causes of omission of diagnosis are analyzed,statistical results are obtained,and the results are discussed and relevant suggestions are made.

Orthopedic joint replacement patients include a significant proportion of elderly individuals.Due to the physiological characteristics of the elderly,the incidence of patient harm during the diagnosis and treatment process is relatively high.Consequently,orthopedic joint replacement is also an area with a high rate of medical disputes in both domestic and international healthcare.The courts often hold the medical side more responsible in their judgments of such disputes.A retrospective analysis of 24 cases of orthopedic joint replacement dispute judgments was conducted to explore and summarize the causes of these cases,and to propose corresponding countermeasures and suggestions with the aim of reducing the incidence of such medical disputes.

Objective In order to clarify the identification path and the followed principles in this kind of pathological-related medical damage identification,explore the prevention and resolution ideas of pathological medical disputes in the medical and health departments,and build a path for the people's court to hear the cases of pathological medical injury liability disputes.Methods Taking the judgement of medical damage liability disputes that took effect in 2019-2023 and published on the judgement document network as a sample,conduct a retrospective analysis in terms of the site of lesion,medical fault,the consequences of the damage,the causal relationship and the degree of cause(degree of participation),the degree of accident classification and responsibility,the selection of appraisal method,and the acceptancde of appraisal opinions.Results From the analysis of the lesion site,there is a high proportion of misdiagnosis in breast,lung,thyroid,skin and uterus;from the analysis of medical fault,58.4%of delayed treatment and 41.6%of overtreatment due to improper selection of treatment plan;from the analysis of the consequences of damage,the consequences of death only account for about 20%.Most of them are in the category of living appraisal;from the analysis of responsibility division,medical institutions bear secondary reasons,accounting for 30.3%;from the analysis of appraisal and acceptance,medical damage identification methods are mostly used,and the court's acceptance of appraisal opinions reaches 92.1%.Conclusion(1)There are more pathological disputes involving women's bodies,and misdiagnosis is the most in the type of fault;(2)Forensic clinical professional appraisers can also participate in the identification of medical damage involving pathological diagnosis;(3)For cases of medical damage liability disputes involving pathological diagnosis and the consequences of death,the cause of death should be identified;(4)Medical damage identification should be in accordance with the principle of peer review.

Objective Medical tangle hearing is an important component of medical malpractice appraisal.By reviewing and analyzing the various conference formats and collaboration models among clinical experts,this study aims to improve the quality of opinion statements and provide support for the formation of medical malpractice judicial appraisal opinions.Methods A total of 185 cases of medical malpractice appraisal were collected from 2019 to 2023 at the Center for Forensic Science,Shanghai Medical College,Fudan University.A retrospective analysis was conducted on the proportion of expert opinions present and accepted in court,which were made with various conference formats and clinical expert attendance,in order to evaluate the relevant factors that could improve the conference quality.Results The effects of various conference formats were similar,and with the support of clinical medical experts,the overall appearance rate was low and the acceptance rate was high.Conclusion Both on-site meetings and remote video conferences can ensure a high quality of opinion presentation and the scientificity and impartiality of appraisal opinions,effectively alleviate doctor-patient conflicts,and provide effective buffering for the subsequent judicial trials or mediation.The key lies in the appraiser's full understanding of medical malpractice cases and the collaborative support of clinical medical experts.

Objective To explore the morphological characteristics of overlapping bloodstains and judge the deposition sequence of bloodstain patterns.Methods The overlapping bloodstains formed by drip stains and bloody shoe prints were simulated on ceramic tiles,and the morphological characteristic differences of 6 group overlapping bloodstain patterns were analyzed to screen effective indicative characteristics.A survey was held to measure the accuracy of the participants in judging the blood deposition sequence without and with information about the morphological characteristic guidance.Results After participants mastered morphological characteristics,the accuracy of judging deposition sequence increased from 59.5%to 89.0%,and the accuracy of judging dry and wet conditions of the primary bloodstains increased from 45.6%to 65.3%.Conclusion According to the morphological characteristics of bloodstains,not only the deposition sequence of bloodstains can be effectively judged,but also the dry and wet conditions of bloodstains can be judged,so as to infer the time interval of bloodstains deposition,which can provide technical support for the analysis and reconstruction of crime scene.

Objective To study the damage mechanism of diacetylmorphine(DAM)on BV-2cells.Methods BV-2 cells with the ability to divide and proliferate were selected as experimental objects,BV-2 cells were treated with 30,60 and 120 mg/L DAM,respectively.The cells were cu?tured for 4,8,16,32 and 48 h.The damage degree and proliferation inhibition rate of BV-2 cells were detected by trypan blue and thiazole blue(MTT)method.The effects of DAM on BV-2 cell cycle and apoptosis were detected with flow cytometry.The c-Fos,Bax,caspase-9,BDNF,HSP-70 and TrkB protein level in BV-2 cells were detected by ELISA.Results Trypan blue and MTT detection showed that the death cells increased significantly with the increase of DAM concentration and prolonged action time and the inhibition rate of BV-2 cells was significantly higher than that of the control group.Cell cycle showed that the number of G0/G1 phase cells in DAM group was significantly increased,the number of G2 phase cells was significantly decreased,and the apoptosis rate was increased.ELISA showed that the protein levels of caspase-9,c-Fos and Bax in DAM groups were significantly higher than those in the control group.On the contrary,BDNF,HSP-70 and TrkB protein levels were significantly lower than those in the control group.Conclusion The damage mechanism of DAM on BV-2 cells is related to up-regulating damage protein level,down-regulating protection protein level,damaging cell membrane structure,inhibiting cell division,leading to cell apoptosis and death.

Objective Metabolomics was used to analyze the changes of metabolites in the plasma of Fenpropathrin-contaminated rats to find potential biomarkers for forensic identification of Fenpropathrin poisoning.Methods SD rats in the two experimental groups were given 20.5 mg/kg and 41 mg/kg doses of fenpropathrin respectively by gavage.The rats in the control group were given equivalent volume of normal saline.The angular vein blood of rats was collected 24 hours after gavage,and endogenous small molecule metabolites in plasma were investigated by ultra-performance liquid chromatography-time-of-flight mass spectrometry(UPLC-TOF-MS).The data was processed by SIMCA14.1.The differential metabolites in plasma of fenpropathrin-infected rats were screened out according to the Variable Importance in Projection(VIP)and p<0.05 in the OPLS-DA model.Finally,the pathways were analyzed.Results There were significant differences in plasma metabolite levels between the control group and the experimental group,and 17 biomarkers were selected to identify whether the rats had received fenpropathrin,which mainly affected purine metabolism,Alanine,aspartate and glutamate metabolism,arginine biosynthesis,biosynthesis of unsaturated fatty acids and pyrimidine metabolism.Conclusion Fenpropathrin can change the composition of metabolites in rats,and the differential markers screened can provide supportive forensic evidence for cases related to deltamethrin poisoning.

Objective To distinguish Khat from its similar plants,such as white tea and Houttuynia cordata,so as to identity Khat and its camouflage and confusing products in smuggling crime and public security anti-drug work.Methods FTIR is used to collect the infrared spectral data of plant samples,and the data are analyzed by chemometrics.The original data were preprocessed by three data processing methods,namely,SG smoothing,baseline and normalization,then the processed data were classified and reduced by PCA,finally the mathematical model was constructed by three methods:KNN,RF and SVM for classification and prediction.Results The results were expressed by confusion matrix,and the accuracy of the RF model is 96.51%.The accuracy of the SVM model is 98.84%;The accuracy of the KNN model is 93.02%.Conclusion In this experiment,FTIR was used to establish a model for rapid identification of Khat grass,the SVM model has the highest correct recognition rate and good parameters,which can be used to distinguish dry khat from its similar plants.

Objective To address the challenges of poor performance and lack of interpretability in existing models,the SHAP algorithm is used to develop an interpretable machine learning model that offers a novel approach to wound age estimation,Methods Based on the previous discovery of the expression of 35 wound age healing-related genes in contused skeletal muscle,the woun age estimaton model was constructed using four algorithms,namly,Multilayer Perceptron(MLP),Random Forest(RF),LightGBM(LGBM),and Support Vector Machine(SVM).The SHAP(Shapley Additive Explanation)algorithm was used to rank the importance of genetic features,eliminate redundant attributes,and optimize the model for accurate wound age estimation.the genetic features of the optimal model were analyzed using SHAP's local interpretation capabilities.Results The best results were obtained using model of MLP(area under the curve(AUC)=0.99)The wound ages were classified into four categories:4～12 h,16～24 h,28～36 h,and 40～48 h,using only 15 gene features.According to SHAP analysis,Fam210a was identified as the most relevant gene.Local analysis revealed that high expression of Fam210a contributed to an increase in the predicted probability of 4 h～12 h,while high expression of Rae1 contributed to an increase in the predicted probability of 16 h～24 h.Additionally,low expression of Tbx18 contributed to an increase in the predicted probability of 28 h～36 h,whereas high expression of Tbx18 contributed to an increase in the predicted probability of 40 h～48 h.Conclusions The combined MLP and SHAP model can be used to predict wound age.Using the SHAP interpreter can better understand the degree of contribution of feature genes to the model prediction,and lay the foundation for further in-depth study of wound age estimation.