With the advancements in artificial intelligence (AI), computational power, and surgical robotics, the analysis of surgical performance at the granular level of individual surgical gestures has become feasible. Surgical gestures, defined as the smallest independent units of inter-action between surgical instruments and tissues, offer a quantifiable framework for surgical skill assessment. Evidence suggests that the selection and execution of surgical gestures are strongly correlated with the expertise of the surgeon and patient outcomes, underscoring their significance in both surgical training and clinical practice. Moreover, the establishment of a standardized classifi-cation system for surgical gestures and the adoption of uniform terminology have the potential to improve communication efficiency during surgical education and training. The authors synthesize existing classification systems for surgical gestures, with a focus on their applications in diverse tasks such as suturing, exposure and dissection. By examining the latest advancements in AI models applied to surgical gesture, as well as the current research landscape of surgical gesture recognition in digestive surgery, the authors explore the potential applications of such technologies in assisting surgeons during operations in the future.

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.

Episodic memory, our ability to recall past experiences, is supported by structures in the medial temporal lobe (MTL) particularly the hippocampus, and its interactions with fronto-parietal brain regions. Understanding how these brain regions coordinate to encode, consolidate, and retrieve episodic memories remains a fundamental question in cognitive neuroscience. Non-invasive brain stimulation (NIBS) methods, especially transcranial magnetic stimulation (TMS), have advanced episodic memory research beyond traditional lesion studies and neuroimaging by enabling causal investigations through targeted magnetic stimulation to specific brain regions. This review begins by delineating the evolving understanding of episodic memory from both psychological and neurobiological perspectives and discusses the brain networks supporting episodic memory processes. Then, we review studies that employed TMS to modulate episodic memory, with the aim of identifying potential cortical regions that could be used as stimulation sites to modulate episodic memory networks. We conclude with the implications and prospects of using NIBS to understand episodic memory mechanisms.
Humans ; Memory, Episodic ; Transcranial Magnetic Stimulation/methods* ; Brain/physiology* ; Nerve Net/physiology* ; Mental Recall/physiology* ; Neural Pathways/physiology*

With the advancements in artificial intelligence (AI), computational power, and surgical robotics, the analysis of surgical performance at the granular level of individual surgical gestures has become feasible. Surgical gestures, defined as the smallest independent units of inter-action between surgical instruments and tissues, offer a quantifiable framework for surgical skill assessment. Evidence suggests that the selection and execution of surgical gestures are strongly correlated with the expertise of the surgeon and patient outcomes, underscoring their significance in both surgical training and clinical practice. Moreover, the establishment of a standardized classifi-cation system for surgical gestures and the adoption of uniform terminology have the potential to improve communication efficiency during surgical education and training. The authors synthesize existing classification systems for surgical gestures, with a focus on their applications in diverse tasks such as suturing, exposure and dissection. By examining the latest advancements in AI models applied to surgical gesture, as well as the current research landscape of surgical gesture recognition in digestive surgery, the authors explore the potential applications of such technologies in assisting surgeons during operations in the future.

Accurate detection of homologous recombination deficiency (HRD) in cancer patients is paramount in clinical applications, as HRD confers sensitivity to poly(ADP-ribose) polymerase (PARP) inhibitors. With the advances in genome sequencing technology, mutational profiling on a genome-wide scale has become readily accessible, and our knowledge of the genomic consequences of HRD has been greatly expanded and refined. Here, we review the recent advances in HRD detection methods. We examine the copy number and structural alterations that often accompany the genome instability that results from HRD, describe the advantages of mutational signature-based methods that do not rely on specific gene mutations, and review some of the existing algorithms used for HRD detection. We also discuss the choice of sequencing platforms (panel, exome, or whole-genome) and catalog the HRD detection assays used in key PARP inhibitor trials.

Purpose: To assess the quality and readability of online health information on vasectomy using validated readability and quality assessment tools. Materials and Methods: The top 50 search results for "vasectomy" on Google, Bing, and Yahoo were selected. Duplicate links, advertisements, blog posts, paid webpages, and information intended for healthcare providers were excluded. Flesch Reading Ease score, Flesch–Kincaid Grade level, Gunning Fog Index, and Simple Measure of Gobbledygook (SMOG) index were used to assess readability, with optimal readability level for online health information established as being at sixth grade reading level. DISCERN Instrument and JAMA Benchmark were used to assess the quality of selected webpages. Inter-assessment score correlation and results by webpage type were analyzed. Results: We analyzed 44 webpages, including 16 academic, 5 hospital-affiliated, 6 commercial, 13 non-profit health advocacy, and 4 uncategorized sources. The average readability of the evaluated webpages was at a 10th grade reading level as measured by the Flesch Kincaid Assessment tool, and an undergraduate reading level per the SMOG and Gunning Fog indices. Non-profit health advocacy webpages had the best reading level but still was not at the recommended level of grade 6 to 7. The overall DISCERN quality of the webpages was “fair”, with non-profit health advocacy pages performing best. Conclusions The assessed webpages offer education on vasectomy in a language that is too complex for the general population to understand. Furthermore, several sources for online health information, such as non-profits, outperformed webpages by academic institutions. Increased healthcare collaboration and dedication to producing quality online patient resources is necessary to address these shortcomings and build trust among patients to increase utilization of vasectomy and decrease decisional regret.

The care of obstetrics patients has improved dramatically over the past few decades. Unfortunately, rates of cesarean section remain high, and decreasing this rate requires close care and follow-up in the prenatal outpatient setting. Counseling regarding cesarean delivery and vaginal delivery is imperative. Opportunities still exist in helping patients objectively weigh the decision for cesarean delivery versus vaginal delivery. Additional developments have occurred in the intrapartum and the postpartum setting, with an aim to improve patient and neonatal outcomes. Changes have been implemented for patients undergoing cesarean delivery including preoperative and intraoperative treatment of pain, nausea, and vomiting, as well as postoperative care bundles that improve patient outcomes. Innovations have also occurred in the care of postpartum patients after vaginal delivery, again with improvements in patient outcomes. This article summarizes the current evidence, provides care recommendations, and identifies the next steps in improving obstetrics care.

OBJECTIVES: To investigate the clinical value of complement-3a receptor 1 (C3aR1) and neutrophil extracellular traps (NETs) in predicting sepsis-induced coagulopathy (SIC). METHODS: A prospective study was conducted among 78 children with sepsis who attended Xuzhou Children's Hospital Affiliated to Xuzhou Medical University from June 2022 to June 2023. According to the presence or absence of SIC, they were divided into two groups: SIC (n=36) and non-SIC (n=42) . The two groups were compared in terms of clinical data and the levels of C3aR1 and NETs. The factors associated with the occurrence of SIC were analyzed. The receiver operating characteristic (ROC) curve was used to evaluate the performance of C3aR1 and NETs in predicting SIC. RESULTS: Compared with the non-SIC group, the SIC group had significantly higher levels of C-reactive protein, interleukin-6 (IL-6), interleukin-10, C3aR1, and NETs (P<0.05). The multivaiate logistic regression analysis showed that the increases in C3aR1, NETs, and IL-6 were closely associated with the occurrence of SIC (P<0.05). The ROC curve analysis showed that C3aR1 combined with NETs had an area under the curve (AUC) of 0.913 in predicting SIC (P<0.05), which was significantly higher than the AUC of C3aR1 or IL-6 (P<0.05), while there was no significant difference in AUC between C3aR1 combined with NETs and NETs alone (P>0.05). CONCLUSIONS There are significant increases in the expression levels of C3aR1 and NETs in the peripheral blood of children with SIC, and the expression levels of C3aR1 and NETs have a high clinical value in predicting SIC.
Child ; Humans ; Extracellular Traps ; Interleukin-6 ; Prospective Studies ; Sepsis/complications* ; C-Reactive Protein ; Blood Coagulation Disorders ; ROC Curve ; Prognosis

This report presents a case of a male infant, aged 32 days, who was admitted to the hospital due to 2 days of bloody stools and 1 day of fever. Upon admission, venous blood samples were collected, which appeared pink. Blood biochemistry tests revealed elevated levels of triglycerides and total cholesterol. The familial whole genome sequencing revealed a compound heterozygous variation in the LPL gene, with one variation inherited from the father and the other from the mother. The patient was diagnosed with lipoprotein lipase deficiency-related hyperlipoproteinemia. Acute symptoms including bloody stools, fever, and bloody ascites led to the consideration of acute pancreatitis, and the treatment involved fasting, plasma exchange, and whole blood exchange. Following the definitive diagnosis based on the genetic results, the patient was given a low-fat diet and received treatment with fat-soluble vitamins and trace elements, as well as adjustments to the feeding plan. After a 4-week hospitalization, the patient's condition improved and he was discharged. Follow-up showed a decrease in triglycerides and total cholesterol levels. At the age of 1 year, the patient's growth and psychomotor development were normal. This article emphasizes the multidisciplinary diagnosis and treatment of familial hyperlipoproteinemia presenting with symptoms suggestive of acute pancreatitis, including bloody ascites, in the neonatal period.
Humans ; Infant ; Male ; Acute Disease ; Ascites ; Cholesterol ; Hyperlipoproteinemia Type I/genetics* ; Hyperlipoproteinemias ; Lipoprotein Lipase/genetics* ; Pancreatitis ; Triglycerides

Objective: To explore the difference in intensive care unit (ICU) readmission rate between high dependency unit (HDU) and general ward for the patients with severe liver disease (SLD), and reflect the effect of HDU on SLD patientse. Methods: A clinical cohort of patients transferred out of ICU was established, and patients with severe liver disease who were transferred to HDU& general ward from July 2017 to December 2021 in the intensive care Unit of the Fifth Medical Center of PLA General Hospital were continuously enrolled. The main liver function indexes and MELD scores between the two groups were compared. Analyze the differences in severity and ICU readmission rate of SLD patients transferred to different wards, and clarify the role of HDU in the management of SLD patient. Area under the receiver operating characteristic (AUROC) was used to investigate the value of MELD score in predicting the occurrence of return to ICU. Results: The level of INR, TB, ALT and MELD scores of SLD patients transferred to HDU were significantly higher than those of patients transferred to general ward (all P < 0.05). MELD > 17 was found in 70.7% of SLD patients transferred to HDU group, while MELD ≤ 17 was found in 61.9% of SLD patients in general ward group. The ICU readmission rate of all patients in this cohort was 11.4%. By MELD quartile stratification, patients with SLD whose MELD > 23 had a significantly higher ICU readmission rate (20.0%) than those with SLD whose MELD ≤ 23 (8.6%) (P = 0.020). The ICU readmission rate was 8.2% when MELD ≤ 23 in the HDU group and 9.1% when MELD > 23, showing no significant difference (P = 1.000). The ICU readmission rate was 8.8% when MELD ≤ 23 in the general ward group. ICU reentry rate increased significantly to 36.4% when MELD > 23 (P = 0.001). MELD Score predicts that the optimal cut-off value of SLD patients in general ward readmitted to ICU was 23.5. Conclusion: The high dependency unit could better admit patients with SLD who were transferred out of ICU and required step-down treatment, and significantly reduced the ICU readmission rate of patients with SLD who were transferred out of ICU with MELD > 23. The patients with SLD and MELD score > 23 are suitable to be transferred from ICU to HDU.