In recent years, the market for wearable devices has been rapidly growing, with much of the demand for health management. These devices are equipped with numerous sensors that detect inertial measurements, electrocardiograms, photoplethysmography signals, and more. Utilizing the collected data enables the monitoring and analysis of the user's health status in real time. With the proliferation of wearable devices, research on applications such as human activity recognition, anomaly detection, and disease prediction has advanced by combining these devices with deep learning technology. Analyzing heart rate variability and activity data, for example, enables the early detection of an abnormal health status and prompt, appropriate medical interventions. Much of the current research focuses on short-term predictions, but adopting a long-term perspective is essential for further development of wearable devices and deep learning. Continuously recording user behavior, anomalies, and physical information and collecting and analyzing data over an extended period will enable more accurate disease predictions and lifestyle guidance based on individual habits and physical conditions. Achieving this requires the integration of wearable devices with medical records. A system needs to be created to integrate data collected by wearable devices with medical records such as electronic health records in collaboration with medical facilities like hospitals and clinics. Overcoming this challenge will enable optimal health management and disease prediction for each user, leading to a higher quality of life.

Liver transplantation (LT) has been an established treatment for end-staged liver disease for acute, chronic, metabolic diseases and liver cancer. Advanced surgical techniques, refined indications and contraindications for LT, improvements of donor selection, prognostic scorings system and immunosuppressive regimens have contributed to the improved outcomes of liver transplantation. The etiologies of cirrhosis have been shifting from viral hepatitis to metabolic associated fatty liver disease. New indications include peripheral or mass forming bile duct cancer, metastases from bowel cancers or neuroendocrine tumors. Resection and partial liver segments 2-3 transplantation with delayed total hepatectomy has been performed to the limited cases, which was the explored technique of auxiliary partial orthotopic LT. Minimally invasive donor hepatectomy (laparoscopic or robotic) has been increasingly done. In this review are described the recent pressing topics in LT.

One important challenge for global development is aging. China is one of the world's countries with the highest elderly population and the most rapid aging; in 2022, the percentage of the population over 65 was 14.9%; by 2050, it is expected to rise to 26.1%. China's health security, elderly care, and healthcare services are facing serious challenges as a result of this aging trend. With 80% of provinces including medical and elderly care in national basic public health care programs, China has adopted a proactive national plan to combat population aging. Moreover, geriatric departments have been established at 69.3% of public general hospitals at secondary and higher tiers, 48% of provinces have devises preventive interventions for disability and dementia in the elderly, 48 percent of provinces are serving as test regions for medical care related to rehabilitation, and 49 cities are involved in long-term care insurance (LTCI) trials that encompass 170 million people. There are 4,259 medical and health care facilities that provide hospice care services, 152 hospice care pilot regions, and 87,000 pairs of contracts between medical and health care facilities and elderly care providers. These developments provide a strong basis, but there are still major obstacles to overcome. The Chinese Government is urged to adopt early preventive measures, offer more ongoing, practical, and cost-effective diagnostic and treatment services, allocate resources equitably, and use intelligent technologies to enhance elderly care. The ultimate goals are to lessen the financial burden, enhance the health of the elderly, and offer a vital global resource.

Population aging is a global concern, and Japan currently has the world’s highest proportion of an aging population. In 2020, the population age 65 and over accounted for 10% of the global population, while this proportion was 29% in Japan, and it is expected to reach 38.4% in 2065. The average life expectancy in Japan in 2022 was 81.05 for males and 87.09 for females. At the same time, Japan's healthy life expectancy continues to increase, and it is increasing at a faster rate than the average life expectancy, with males expected to live 72.68 years and females expected to live 75.38 years in 2019. This is causing the social role of elderly people in Japan to constantly change. The Japanese Government continues to adjust its policy orientation, to improve the health level and social participation of the elderly, improve the accessibility of long-term nursing services and the treatment of nursing professionals, and improve the pension system. By 2025, one-fifth of people in Japan are expected to suffer from dementia. Japan has implemented a series of policies to create a dementia-inclusive and less risky society. The proportion of the population ages 65 and over living alone in Japan increased from 4.3% among males and from 11.2% among females in 1980 to 15.0% among males and 22.1% among females in 2020, representing a sustained increase. Changes in the composition of the population have prompted sustained attention to the personalization and diversification of elderly care. At the same time, Japanese researchers continue to utilize scientific and information technology to innovate elderly care products, improve the efficiency of elderly care, and provide intelligent elderly care.

Pancreatic cancer (PC) has the poorest prognosis among digestive cancers; only 15-20% of cases are resectable at diagnosis. This review explores multidisciplinary treatments for advanced PC, emphasizing resectability classification and treatment strategies. For locally advanced unresectable PC, systemic chemotherapy using modified FOLFIRINOX and gemcitabine with albumin-bound paclitaxel is standard, while the role of chemoradiation is debated. Induction chemotherapy followed by chemoradiation may be a promising therapy. Conversion surgery after initial chemotherapy or chemoradiotherapy offers favorable survival, however criteria for conversion need further refinements. For metastatic PC, clinical trials using immune checkpoint inhibitors and molecular targeted therapies are ongoing. Multidisciplinary approaches and further research are crucial for optimizing treatment and improving outcomes for advanced PC.

The brain-gut axis intricately links gut microbiota (GM) dysbiosis to the development or worsening of autism spectrum disorder (ASD). However, the precise GM composition in ASD and the effectiveness of probiotics are unclear. To address this, we performed a thorough meta-analysis of 28 studies spanning PubMed, PsycINFO, Web of Science, Scopus, and MEDLINE, involving 1,256 children with ASD and 1042 neurotypical children, up to February 2024. Using Revman 5.3, we analyzed the relative abundance of 8 phyla and 64 genera. While individuals with ASD did not exhibit significant differences in included phyla, they exhibited elevated levels of Parabacteroides, Anaerostipes, Faecalibacterium, Clostridium, Dorea, Phascolarctobacterium, Lachnoclostridium, Catenibacterium, and Collinsella along with reduced percentages of Barnesiella, Odoribacter, Paraprevotella, Blautia, Turicibacter, Lachnospira, Pseudomonas, Parasutterella, Haemophilus, and Bifidobacterium. Notably, discrepancies in Faecalibacterium, Clostridium, Dorea, Phascolarctobacterium, Catenibacterium, Odoribacter, and Bifidobacterium persisted even upon systematic exclusion of individual studies. Consequently, the GM of individuals with ASD demonstrates an imbalance, with potential increases or decreases in both beneficial and harmful bacteria. Therefore, personalized probiotic interventions tailored to ASD specifics are imperative, rather than a one-size-fits-all approach.

Aging is a challenge to global development. This challenge is particularly significant for China because it has the largest elderly population worldwide. The proportion of aging population continues to increase, and solely relying on government efforts to meet the needs of the elderly is inadequate. Hence, involvement of social organizations in elderly care services is needed. Their core members exhibit higher sense of responsibility and identification with the organization than regular members, thus profoundly affecting organizational development. Based on the Social Capital Theory, this study employed a multistage stratified random sampling method to examine the social capital stock of elderly social organizations and their core members across six cities in Anhui Province, China. Chi-square tests analyzed the relationship between the core members' demographic factors and individual performance. Independent-sample t-tests assessed the relationship between social capital and individual performance. Finally, binary logistic regression models determined the factors influencing the individual performance of core members. Social networks within core members' social capital and the internal social capital of elderly caring social organizations (ESOs) affect the individual performance of core members. Therefore, organizations should provide more training opportunities for core members to expand their networks. Cultivating a shared language and vision as components of social capital can enhance organizational cohesion and operational stability.

This study aims to determine the predictive role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) derived radiomic model in tumor immune profiling and immunotherapy for cholangiocarcinoma. To perform radiomic analysis, immune related subgroup clustering was first performed by single sample gene set enrichment analysis (ssGSEA). Second, a total of 806 radiomic features for each phase of DCE-MRI were extracted by utilizing the Python package Pyradiomics. Then, a predictive radiomic signature model was constructed after a three-step features reduction and selection, and receiver operating characteristic (ROC) curve was employed to evaluate the performance of this model. In the end, an independent testing cohort involving cholangiocarcinoma patients with anti-PD-1 Sintilimab treatment after surgery was used to verify the potential application of the established radiomic model in immunotherapy for cholangiocarcinoma. Two distinct immune related subgroups were classified using ssGSEA based on transcriptome sequencing. For radiomic analysis, a total of 10 predictive radiomic features were finally identified to establish a radiomic signature model for immune landscape classification. Regarding to the predictive performance, the mean AUC of ROC curves was 0.80 in the training/validation cohort. For the independent testing cohort, the individual predictive probability by radiomic model and the corresponding immune score derived from ssGSEA was significantly correlated. In conclusion, radiomic signature model based on DCE-MRI was capable of predicting the immune landscape of chalangiocarcinoma. Consequently, a potentially clinical application of this developed radiomic model to guide immunotherapy for cholangiocarcinoma was suggested.

To establish clinical prediction models of vessels encapsulating tumor clusters (VETC) pattern using preoperative contrast-enhanced ultrasound (CEUS) and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid magnetic resonance imaging (EOB-MRI) in patients with hepatocellular carcinoma (HCC). A total of 111 resected HCC lesions from 101 patients were included. Preoperative imaging features of CEUS and EOB-MRI, postoperative recurrence, and survival information were collected from medical records. The best subset regression and multivariable Cox regression were used to select variables to establish the prediction model. The VETC-positive group had a statistically lower survival rate than the VETC-negative group. The selected variables were peritumoral enhancement in the arterial phase (AP), hepatobiliary phase (HBP) on EOB-MRI, intratumoral branching enhancement in the AP of CEUS, intratumoral hypoenhancement in the portal phase of CEUS, incomplete capsule, and tumor size. A nomogram was developed. High and low nomogram scores with a cutoff value of 168 points showed different recurrence-free survival rates and overall survival rates. The area under the curve (AUC) and accuracy were 0.804 and 0.820, respectively, indicating good discrimination. Decision curve analysis showed a good clinical net benefit (threshold probability > 5%), while the Hosmer-Lemeshow test yielded excellent calibration (P = 0.6759). The AUC of the nomogram model combining EOB-MRI and CEUS was higher than that of the models with EOB-MRI factors only (0.767) and CEUS factors only (0.7). The nomogram verified by bootstrapping showed AUC and calibration curves similar to those of the nomogram model. The Prediction model based on CEUS and EOB-MRI is effective for preoperative noninvasive diagnosis of VETC.

STK39 is reportedly a critical negative regulator of intestinal barrier. Pharmacological targeting of STK39 is expected to protect the intestinal barrier and thereby weaken metabolic dysfunction-associated steatohepatitis (MASH); Proximal colon biopsy tissues from patients with metabolic dysfunction-associated steatotic liver disease (MASLD) and those without MASLD were analyzed for STK39 expression. Wildtype (WT) mice and systemic STK39 gene knockout (STK39^-/-) male mice were fed a normal diet or a high-fat methionine-choline deficient diet (HFMCD) for 8 weeks. The MASH mice were grouped and treated with ZT-1a (a STK39 inhibitor) or vehicle intraperitoneal injection during the procedure of HFMCD induction. Liver and intestinal tissues were collected for further examination; Colon tissues from patients with MASLD exhibited higher levels of STK39 than those from subjects without MASLD. Knockout of STK39 diminished CD68⁺ Kupffer cells and α-SMA⁺ hepatic stellate cells infiltration in mouse MASH model. Treatment with ZT-1a also prevented severe steatohepatitis in a mouse MASH model, including milder histological and pathological manifestations (lobular inflammation and fibrosis) in the liver. Interestingly, Inhibition of STK39 had minimal effects on hepatic lipid metabolism. The reduced liver injury observed in mice with STK39 inhibition was linked to significant decreases in mucosal inflammation, tight junction disruption and intestinal epithelial permeability to bacterial endotoxins; Collectively, we have revealed that inhibiting STK39 prevents the progression of MASH by protecting the intestinal epithelial barrier.