OBJECTIVE: To observe the effects of moxibustion at different temperatures on cognitive function and blood glucose levels in patients with cognitive impairment associated with type 2 diabetes mellitus (T2DM). METHODS: A total of 66 T2DM patients with cognitive impairment were randomly assigned to a high-temperature group (22 cases, 1 case dropped out, 1 case was eliminated), a medium-temperature group (22 cases, 2 cases were eliminated), and a low-temperature group (22 cases, 2 cases were eliminated). All groups received moxibustion at Baihui (GV20), Dazhui (GV14), and Shenting (GV24) based on their existing glycemic control treatment. Moxibustion temperatures were maintained at 44-46 ℃ (high-temperature group), 41-43 ℃ (medium-temperature group), and 38-40 ℃ (low-temperature group), respectively, for 20 min per session, every other day, 3 times a week for 3 months. The Montreal cognitive assessment (MoCA) score, mini-mental state examination (MMSE) score, short-term memory (STM) accuracy and average reaction time, Rey-Osterrieth complex figure (ROCF) score, fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) were assessed before and after treatment. Clinical efficacy was evaluated after treatment. RESULTS: After treatment, MMSE scores in all three groups were higher than those before treatment (P<0.05). In the high-temperature group, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, naming, language, and abstraction were higher than those before treatment (P<0.05); the scores of ROCF copy, immediate recall, and delayed recall were higher than those before treatment (P<0.05); the HbA1c level was lower than that before treatment (P<0.05). In the medium-temperature group, the total MoCA score and the scores of memory and delayed recall, attention, and language were higher than those before treatment (P<0.05). STM accuracy was higher than before treatment (P<0.05), and STM average reaction time was shorter than before treatment (P<0.05) in both the high-temperature and medium-temperature groups. After treatment, the total MoCA score and the scores of visuospatial and executive function, memory and delayed recall, attention, and language in the high-temperature group were higher than those in the medium- and low-temperature groups (P<0.05); MMSE score, STM accuracy, and ROCF immediate recall and delayed recall scores were higher than those in the medium- and low-temperature groups (P<0.05); STM average reaction time was shorter than that in the medium- and low-temperature groups (P<0.05); HbA1c level was lower than that in the low-temperature group (P<0.05). The total MoCA score, attention score, and MMSE score in the medium-temperature group were higher than those in the low-temperature group (P<0.05), and STM average reaction time was shorter than that in the low-temperature group (P<0.05). There were no statistically significant differences in FPG within or between the three groups before and after treatment (P>0.05). The total effective rates were 75.0% (15/20) in the high-temperature group, 50.0% (10/20) in the medium-temperature group, and 15.0% (3/20) in the low-temperature group; the total effective rate in the high-temperature group was significantly higher than that in the low-temperature group (P<0.05). CONCLUSION Moxibustion at different temperatures has a dose-effect relationship in treating cognitive impairment in T2DM patients. A temperature range of 44-46 ℃ is more effective in improving cognitive function and stabilizing average blood glucose levels over 2-3 months.
Humans ; Diabetes Mellitus, Type 2/therapy* ; Male ; Female ; Moxibustion ; Middle Aged ; Aged ; Cognitive Dysfunction/psychology* ; Cognition ; Temperature ; Blood Glucose/metabolism* ; Adult ; Acupuncture Points

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*