Cholelithiasis and gallstone-related complications remain one of the most prevalent gastrointestinal diseases globally. Age, gender, body mass index, physical activity, dietary factors, and genetics play a role in the development of gallstones. More than 20% of patients with gallstones will develop symptomatic disease during their lifetime, which can often lead to complications and significant morbidity. Laparoscopic cholecystectomy is considered the standard of care for symptomatic gallstone disease. Still, in select patient populations and in those who are non-surgical candidates, medical management, with bile acid therapy such as ursodeoxycholic acid (UDCA) or mechanical therapy such as extracorporeal shock wave lithotripsy, is preferred. UDCA is a hydrophilic bile acid that lowers biliary cholesterol saturation and aids in dissolving small, cholesterol-rich gallstones. UDCA appears to be well tolerated in the populations studied. While serious adverse events were uncommon in the available literature, UDCA’s efficacy is limited by a high recurrence rate. The aim of this review is to summarize the current evidence and developments regarding the role of UDCA therapy in the management of cholelithiasis and choledocholithiasis.

Gastrointestinal (GI) health is essential for maintaining systemic balance, influencing digestion, immunity, and neuroendocrine signaling. However, GI disorders such as irritable bowel syndrome, inflammatory bowel disease, gastroesophageal reflux disease, peptic ulcers, and constipation are increasingly prevalent, significantly affecting global health and healthcare economics. Although conventional pharmacological treatments offer symptomatic relief, their long-term use is often associated with adverse effects, resistance, and limited efficacy, prompting a shift toward alternative and complementary therapies. Traditional systems of medicine, such as Ayurveda, Traditional Chinese Medicine, Unani, and Siddha, emphasize holistic approaches, including herbal formulations that target underlying causes rather than just symptoms. This review provides a comprehensive analysis of the role of natural products and traditional herbals in GI health. It discusses key bioactive constituents, flavonoids, alkaloids, terpenoids, and polyphenols, known for their anti-inflammatory, antimicrobial, gastroprotective, and prebiotic properties. Widely used herbal remedies such as Triphala, licorice root, peppermint oil, turmeric, and psyllium are highlighted for their proven therapeutic actions. Additionally, the review documents more than 300 medicinal plants traditionally used in diverse cultures worldwide for managing GI conditions, based on ethnopharmacological evidence. While the therapeutic promise is substantial, challenges such as formulation standardization, herb-drug interactions, and limited clinical data remain. The review underscores the need for integrating traditional wisdom with modern scientific validation, offering a path forward for safe, effective, and personalized GI healthcare.

Chronic subdural hematoma (CSDH) is a common disease in neurosurgery, with epidemiological characteristics showing an overall annual incidence of 1.7–20.6 per 100,000 people and a higher prevalence in the elderly. However, despite the increased disease burden, there have been limited breakthroughs in treatment options over the past 20 years. A significant gap exists in our understanding of the exact pathophysiological mechanism of CSDH, leading to a lack of specific clinical treatment options based on a clear pathological mechanism. Current research suggests that the development of CSDH involves dual mechanisms of trauma and inflammation, and that these pathologic processes together promote pathological changes such as angiogenesis, inflammatory response, and neovascularization. Therapies for CSDH encompass both surgical (e.g., twist-drill drainage, burr-hole drainage, craniotomy) and non-surgical approaches (e.g., clinical observation, medication, intracranial pressure monitoring, anticoagulation). Meanwhile, middle meningeal artery embolization, as an emerging minimally invasive interventional technique, has shown good prospects for clinical application. This review aims to bridge the gap between current treatment options and the need for effective strategies by providing a comprehensive summary of the epidemiological trends, pathophysiological advances, and optimization of therapeutic strategies for CSDH.

Characteristic signs of alopecia are gradual thinning, disruption of structural features, and the hair development cycle (anagen, catagen, telogen) against the background of miniaturization of hair follicles, which leads to baldness and psychological stress in patients. Despite the rapid development and clinical application of synthetic pharmacological, cellular/acellular, and molecular drugs, no effective therapeutic agent against alopecia has yet been developed. Great hopes are pinned on the improvement of therapeutic strategies with the introduction of exosomes into practical application, which contain a wide array of active substances for the targeted stimulation of hair follicle activity (anagen inducers) through the regulation of intracellular signaling cascades, growth factors, and microRNAs. The review discusses in detail the microRNAs and their intracellular targets that control hair follicle morphogenesis. It also focuses on the prospects of using stem cell exosomes from various sources for the treatment of alopecia, providing a clinical rationale for potential benefits and risks.

To support clinicians in making informed decisions regarding the diagnosis and management of inherited hyperbilirubinemia, including Gilbert syndrome, Crigler-Najjar syndrome, Dubin-Johnson syndrome, and Rotor syndrome, the Inherited and Metabolic Liver Disease Collaboration Group of the Hepatology Branch of the Chinese Medical Association convened a panel of Chinese experts in this field. This multidisciplinary consortium developed the present expert consensus by integrating the latest advances in both clinical practice and basic research.

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment. Conventional computer-aided detection systems have shown limitations, including high false-positive rates and low sensitivity. Recent advances in deep learning, particularly convolutional neural networks (CNNs), have shown great potential in improving the accuracy and reliability of nodule detection and classification. This study aimed to develop and evaluate an automatic method for lung nodule detection and classification using a CNN-based architecture applied to computed tomography images from the publicly available LIDC-IDRI database.

This retrospective study was conducted on 82 patients (10,496 computed tomography slices) selected from the LIDC-IDRI database. The proposed method consists of five main steps: image preprocessing, lung parenchyma segmentation using Otsu’s thresholding and morphological operations, detection of nodule candidates, feature extraction, and classification using a CNN model. The CNN architecture includes two convolutional layers (20 and 30 filters, 3×3 kernel), ReLU activation, max-pooling layers, and a Softmax output layer. The network was trained with a mini-batch size of 32 for 50 epochs using the Stochastic Gradient Descent with Momentum optimizer (learning rate = 0.001, momentum = 0.9). Model performance was evaluated in terms of sensitivity, specificity, precision, and accuracy.

The proposed CNN model successfully detected pulmonary nodules and achieved accurate classification between benign and malignant nodules. On the LIDC-IDRI dataset, the model achieved a sensitivity of 98.7%, specificity of 97.5%, precision of 97.9%, and accuracy of 98.4%. Comparative analysis with recent studies, including hybrid CNN-long short-term memory and ResNet-based models, demonstrated that the proposed method provides competitive performance while maintaining lower computational complexity. The classification of nodule subtypes (solid, partially frosted, totally frosted) showed satisfactory discrimination results.

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges limitations such as single-database validation and a relatively small training size. Future work will focus on validating the model across other datasets (e.g., ELCAP, NELSON) and optimizing multi-class classification performance to enhance generalizability and clinical applicability.

Organoids are derived from self-organizing stem cells and form three-dimensional structures that are structurally and functionally similar to in vivo tissues. With the ability to replicate the in vivo microenvironment and maintain genetic stability, organoids have become a powerful tool for elucidating developmental mechanisms, accurately modeling disease processes, and efficiently screening drug candidates, and have also demonstrated significant value in the field of traditional Chinese medicine (TCM)-including applications in screening active components of TCM, studying TCM pharmacodynamic mechanisms, evaluating TCM safety, and verifying the effects of traditional non-pharmacological therapies such as acupuncture and yoga. Organoids can be cultured using air-liquid interface systems, bioreactors, and vascularization techniques. They are widely used in drug screening, disease modeling, precision medicine, and toxicity assessment. However, current limitations include high costs, difficulty in accurately replicating the microenvironment, and ethical concerns. In this review, we systematically retrieve, synthesize, and analyze relevant literature to elucidate the culture methods of organoid technology, its diverse applications across various fields, and the challenges it faces. In the future, integration with artificial intelligence may provide new insights and strategies for drug development and disease research and the modernization of TCM.

The global integration of traditional medicine (TM) and modern medicine reflects a fundamental shift in healthcare aimed at delivering more holistic, culturally sensitive, and patient-centered care. With over 80% of the global population relying on some form of TM, especially in Asia, Africa, and Latin America, there is growing momentum to institutionalize TM alongside evidence-based biomedicine. Countries like India, China, and Korea have led integration through formal education, government-supported research, and clinical frameworks, while high-income countries are increasingly adopting complementary and integrative medicine models. However, this convergence faces substantial challenges, including differences in epistemology, regulatory standards, evidence hierarchies, and practitioner training. Limited clinical trials, quality assurance concerns, and issues related to intellectual property rights and biopiracy further complicate harmonization. Despite these barriers, the World Health Organization’s Traditional Medicine Strategy (2014–2023) and its newly established Global Centre for Traditional Medicine (India) underscore a growing international commitment to evidence-based integration. Opportunities lie in promoting collaborative research, strengthening regulatory frameworks, enhancing digital health platforms for TM documentation, and fostering intercultural dialogue between health systems. If guided ethically and scientifically, integration can improve access to care, reduce treatment costs, and offer personalized health solutions for chronic and lifestyle-related diseases. This review explored global integration models, evaluated emerging challenges, and identified strategies to support an inclusive, pluralistic, and sustainable healthcare future that respects both traditional wisdom and modern science.

The Chinese Society of Hepatology of the Chinese Medical Association has invited experts in relevant fields to revise and rename the 2019 “Chinese Guidelines on the Management of Liver Cirrhosis” to “Chinese Guidelines for Clinical Diagnosis, Treatment, and Management of Cirrhosis (2025)”. These updated guidelines are aimed at providing recommendations for the clinical diagnosis and management of liver cirrhosis across the compensated, decompensated, and recompensated stages, as well as guidance on cirrhosis reversal and associated complications.

Harlequin ichthyosis, one of the rarest and most severe skin disorders, is mainly characterized by extreme hyperkeratosis, severely impairing the natural barrier function of the skin. This congenital disease results from a mutation in the ABCA12 gene responsible for lipid transport, whereby healthy skin development is assured. Harlequin ichthyosis is an autosomal recessive condition that requires parents to carry a defective gene copy for the disorder to manifest in their offspring. Babies born with Harlequin ichthyosis have thick skin plates that crack and flake off; they easily become dehydrated, infected, and may suffer from respiratory complications. With new improvements in neonatal care and systemic therapy, notably retinoid therapy, infants’ survival rates have improved. This review provides an inclusive overview of the pathophysiology, clinical features, diagnostic methods, management, and potential future therapies for Harlequin ichthyosis. In addition, a discussion on genetic counseling and its importance in managing family risk factors is also included, as well as a look into cutting-edge research focused on gene therapy and potential curative treatments.