Artificial intelligence (AI) is transforming the diagnosis, treatment, monitoring, and research of soft tissue disorders, which include muscles, tendons, ligaments, fascia, nerves, and blood vessels. Traditional diagnostic methods often rely on imaging, histopathology, and clinical evaluation, which can be time-consuming and prone to human error. This review aims to explore the impact of AI on enhancing soft tissue care. The review examines the application of deep learning algorithms in medical imaging, pathology, predictive analytics, and treatment planning. It also evaluates AI’s role in monitoring and rehabilitation, as well as its contributions to research in soft tissue disorders. AI significantly improves the accuracy of medical imaging analysis, facilitating the detection of abnormalities such as tumors and tears. AI-powered pathology tools automate slide analysis, enhancing diagnostic consistency and efficiency. Predictive analytics enable early risk assessment and personalized patient management. In surgical contexts, AI supports preoperative simulations and robotic-assisted procedures, leading to improved outcomes. Additionally, AI enhances patient monitoring through wearable devices and telemedicine. The integration of AI into soft tissue diagnostics and therapeutics presents transformative potential for personalized and efficient healthcare. However, challenges related to data security, algorithm bias, interpretability, and ethical considerations must be addressed. Overall, AI holds promise for improving patient outcomes and advancing medical science in the field of soft tissue disorders.

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.

Despite significant advances in Parkinson’s disease (PD) treatment, it remains incurable, with limited therapeutic options. Currently, repurposing already tested, safe drugs has emerged as an effective therapeutic strategy against various neurodegenerative diseases, including PD. Using a drug-repurposing approach, the current study investigated the neuroregenerative potential of polysialic acid mimicking compounds, 5-nonyloxytryptamine oxalate (5-NOT) and Epirubicin (Epi), an anti-cancer drug, in 1-methyl-4-phenylpyridinium (MPP+)-treated human neuroblastoma SH-SY5Y cells as a PD model.

The excitotoxic model was established by exposing SH-SY5Y cells to 500 µM of MPP+ and subsequently treating them with the test compounds. The effect of MPP+-induced toxicity on cellular and nuclear morphology, as well as on the expression of neuroplasticity and cell survival proteins, were studied by immunostaining, gelatin zymogram, and Western blot assays.

Treatment with 5-NOT and Epi significantly promoted the survival of MPP+-challenged SH-SY5Y cells and prevented changes in their cellular and nuclear morphology by regulating the expression of microtubule-associated protein (MAP-2) and polysialylated-neural cell adhesion molecule (PSA-NCAM) and NCAM synaptic plasticity proteins. Further, 5-NOT and Epi treatment also protected SH-SY5Y cells by restoring levels of nitric oxide, matrix metalloproteinase, and stress response proteins. Interstingly, 5-NOT attenuated MPP+-induced toxicity in SH-SY5Y cells by regulating the intrinsic protein kinase AKT/BAD apoptotic pathway and the P-38 MAP kinase synaptic plasticity pathway.

These preliminary findings suggest that 5-NOT, as a potential polysialic acid glycomimetic, may serve as a promising drug candidate for targeting neurodegeneration of dopaminergic neurons, a hallmark feature of PD.

Leishmaniasis is a dangerous yet neglected tropical disease affecting a vast population of the world. Several medicinal plants and their constituents (natural products/phytochemicals) have been considered of prime importance for the management of leishmaniasis over the years. The present review sheds light on the molecular mechanisms of the constituents obtained from medicinal plants that are pre-clinically effective against leishmaniasis. Various mechanisms by which medicinal plant-derived natural products elicit their action against leishmaniasis are illustrated in the literature. The mechanisms identified include: disruption of cytoplasmic and mitochondrial membranes, induction of apoptosis and autophagy, modulation of gene expression and immunological pathways, pro-oxidant effects (disrupting redox balance) with mitochondrial dysfunction, cell cycle arrest, impaired cellular bioenergetics, i.e., adenosine triphosphate production and coagulation of cellular contents within Leishmania parasites. Future phytochemical and pharmacological (especially clinical) studies are necessary to further understand the mechanistic details of medicinal plant-derived natural compounds and to develop new phytotherapeutic entities from nature against leishmaniasis.

Emergency department (ED) presentations are associated with higher cancer mortality. This study aimed to investigate the prevalence, frequency, and risk factors in Australian patients diagnosed with malignant skin cancers.

This data-linkage cohort study examined adult patients presenting to the ED at the Royal Melbourne and Western Health hospitals within 12 months of a malignant skin cancer diagnosis. Multivariable logistic and Poisson regressions were used to analyze factors influencing the prevalence and frequency of ED presentations.

A total of 3,873 patients were diagnosed with skin malignancies between 2010 and 2018, of which 631 were diagnosed with melanoma. The prevalence of ED presentation was 29%, representing 2,119 episodes of care (median: 0; range: 0–14). Risk factors for a higher prevalence and frequency included: age ≥75 years (odds ratio (OR) = 1.78 [95% confidence interval 1.47–2.15]; incidence risk ratio (IRR) = 1.52 [1.35–1.70]); male (OR = 1.17 [1.01–1.36]; IRR = 1.23 [1.12–1.35]); socioeconomic status levels of 0–30% (OR = 1.59 [1.24–2.03]; IRR = 1.69 [1.45–1.96]) and 71–100% (OR = 1.30 [1.07–1.58]; IRR = 1.27 [1.12–1.45]); preferred language other than English (OR = 1.47 [1.17–1.84]; IRR = 1.49 [1.32–1.69]); and experience with any systemic therapy or radiotherapy (OR = 3.77 [2.12–6.71]; IRR = 2.36 [1.82–3.05]). Age < 65 years was protective (OR = 0.72 [0.59–0.89]; IRR = 0.78 [0.68–0.90]). Other preferred languages and cancer treatment experience were also risk factors in the sub-cohort with melanoma.

This study reports the prevalence and frequency of ED presentations following a skin cancer diagnosis and their association with socioeconomic and linguistic factors in Australia. Increased awareness of these factors could help address health inequities and potentially reduce the need for ED presentations.

Drug-induced liver injury (DILI) represents a prevalent adverse event associated with medication use. However, the exact mechanisms underlying DILI remain incompletely understood, and the lack of specific diagnostic and prognostic biomarkers poses significant challenges to the clinical diagnosis and treatment of this condition. Consequently, our study aimed to endeavor to identify serum and fecal metabolic biomarkers, enabling more accurate DILI diagnosis and improved prediction of chronic progression.

Untargeted metabolomics analysis was performed on serum and fecal samples obtained from a cohort of 32 DILI patients (causality confirmed via the updated Roussel Uclaf Causality Assessment Method) and 36 healthy controls. Utilizing techniques such as partial least squares-discriminant analysis modeling and t-tests, we identified significantly differentially expressed metabolites and metabolite sets. Causality assessment was performed using the updated Roussel Uclaf Causality Assessment Method.

The findings from the analysis of serum and fecal metabolomics association pathways suggested that perturbations in bile acid metabolism might serve as potential mechanisms underlying the progression of DILI. Our study revealed 22 overlapping differential metabolites between serum and feces, displaying significant concentration differences between the DILI and healthy control groups. Notably, we identified chenodeoxycholic acid and deoxycholic acid as promising markers that not only distinguished DILI patients from healthy individuals but also exhibited predictive potential for DILI chronicity.

The integrated analysis of serum and fecal metabolites uncovers the significant disruption of bile acid metabolites as a key contributing factor in the pathogenesis of DILI. Our study offers promising potential biomarkers for the diagnosis and prognosis of DILI, paving the way for a novel perspective in the realm of DILI diagnosis and treatment.

Skin cancer, the most common global malignancy, is linked to ultraviolet (UV)-driven serum 25-hydroxyvitamin D (25(OH)D)synthesis, with its controversial role possibly reflecting cumulative UV exposure. This study aimed to assess the association and causality between 25(OH)D levels and skin cancer risk using the National Health and Nutrition Examination Survey (1999–2018) data and Mendelian randomization (MR) analyses, evaluating 25(OH)D as a screening biomarker.

We integrated data from the National Health and Nutrition Examination Survey (1999–2018; n = 21,357 U.S. adults, including 631 skin cancer cases) with MR analyses using genome-wide association study-derived genetic variants to assess the causal relationship between serum 25(OH)D levels and skin cancer risk.

Higher 25(OH)D levels were associated with increased risks of nonmelanoma skin cancer [odds ratio (OR) (95% confidence interval (CI)) = 2.94 (2.10, 4.20)], melanoma [OR (95% CI) = 2.94 (1.73, 5.28)], and other skin cancers [OR (95% CI) = 2.10 (1.36, 3.36)]. MR analyses supported a causal relationship for nonmelanoma skin cancer [OR (95% CI) = 1.01 (1.00, 1.02)] and melanoma [OR (95% CI) = 1.00 (1.00, 1.01)]. Risks were highest in males, older adults, and individuals with obesity.

Higher serum 25(OH)D levels are associated with increased skin cancer risk, likely reflecting cumulative UV exposure. Routine monitoring of 25(OH)D, combined with UV exposure management, is recommended for risk stratification in skin cancer screening, particularly among high-risk groups. Validation in multiethnic cohorts is needed to confirm these findings.

Delirium, commonly observed in critically ill patients following intracerebral hemorrhage (ICH), is an acute neuropsychiatric disorder characterized by disturbances in attention, consciousness, and cognition. The underlying brain network mechanisms remain poorly understood. This study aimed to explore the functional connectivity (FC) of the ascending reticular activating system (ARAS) in delirium patients with basal ganglia ICH and to identify potential biomarkers for predicting delirium onset.

In this cross-sectional study, brain networkomics techniques were used to examine the FC within the ARAS in ICH patients with and without delirium. A two-sample t-test compared differences in ARAS connectivity between delirium and non-delirium groups, identifying abnormal brain regions and their corresponding FC values. Receiver operating characteristic curve analysis was then performed to evaluate the predictive value of FC for delirium onset.

A significant disruption in FC between the brainstem ARAS nuclei and the left parahippocampal gyrus was observed in ICH patients with delirium. The FC strength between these regions was a reliable predictor of delirium occurrence, with an area under the curve of 0.893, indicating high predictive accuracy.

The disruption of FC between the brainstem ARAS nuclei and the left parahippocampal gyrus may represent a key mechanism underlying delirium pathogenesis. The strength of this connectivity could serve as a potential biomarker for predicting delirium onset. Future research should focus on strategies to restore this connectivity as a potential treatment for early reversal of delirium.

Radiotherapy remains one of the essential treatment modalities for brain gliomas, brain metastases, pediatric neuroblastomas, and primary central nervous system lymphomas. With continuous advancements in modern radiotherapy techniques, patients have achieved significantly improved local control rates and prolonged survival. However, the long-term complications associated with radiotherapy have become increasingly evident. Radiation-induced brain injury (RIBI) is a clinical syndrome characterized primarily by neurological dysfunction following focal or whole-brain radiotherapy. It negatively impacts patients’ quality of life and imposes a considerable burden on families and society. With the rapid development of medical imaging and artificial intelligence technologies, multimodal imaging techniques, including structural magnetic resonance imaging, diffusion-weighted imaging, functional magnetic resonance imaging, perfusion imaging, positron emission tomography-computed tomography metabolic imaging, and radiomics, have demonstrated significant potential for early detection, dynamic monitoring, and quantitative evaluation of RIBI. Meanwhile, treatment strategies for RIBI are shifting from traditional symptomatic and supportive care toward multidimensional interventions aimed at protecting the blood-brain barrier, modulating neuroinflammation, and implementing precise targeted therapies. Additionally, emerging studies have explored neuromodulation techniques and gut-brain axis regulation, offering new directions for the prevention and treatment of RIBI. Although conventional imaging methods remain valuable for diagnosing RIBI, they exhibit notable limitations in the early stages of the disease and in differentiating RIBI from tumor recurrence. This review focuses on the current state of technological development, key findings, and existing limitations, with the aim of providing a theoretical foundation and technical support for the early identification and precise intervention of RIBI.