Drug discovery is an exceptionally long and costly process, often taking over 10 years and costing billions of dollars. Despite these efforts, more than 90% of drug candidates fail, with most failures occurring during clinical trials due to issues related to efficacy, safety, or poor pharmacokinetics. A major contributor to these failures is biopharmaceutic barriers, including poor solubility, limited permeability, active efflux by transporters such as P-glycoprotein and breast cancer resistance protein, and extensive first-pass metabolism by CYP450 enzymes. These factors severely limit drug absorption and bioavailability, reducing therapeutic efficacy. Although traditional approaches, such as high-throughput absorption, distribution, metabolism, and excretion screening and improved chemical design, have achieved some progress, a major shift is now occurring through the use of in silico modeling, artificial intelligence (AI), and machine learning. These AI-driven tools enhance the prediction accuracy of absorption, distribution, metabolism, and excretion profiles, identify transporter interactions, and even simulate metabolic pathways. Additionally, modern formulation technologies, such as three-dimensional printing, lipid-based nanocarriers, and biodegradable delivery systems, are increasingly being integrated with AI-powered design platforms to personalize and optimize drug delivery. However, these promising advancements also raise regulatory and ethical concerns that must be addressed before widespread adoption. This review examines the major biopharmaceutic barriers responsible for drug development failures and explores how emerging AI-driven strategies and formulation innovations are being used to overcome these limitations. It also discusses current regulatory challenges and ethical considerations associated with adopting these technologies.

High-grade serous carcinoma is a rare diagnosis in cervical biopsies. Cervical serous carcinoma is no longer recognized as a primary cervical tumor in the 2020 World Health Organization classification. This study aimed to characterize the clinicopathologic, immunohistochemical, and molecular features of high-grade serous carcinoma identified in cervical or endocervical biopsies, to assess tumor origin and ensure accurate classification.

Fifty-nine cases originally diagnosed as “serous carcinoma” or “high-grade serous carcinoma” in cervical or endocervical biopsies from 2013 to 2023 were retrospectively reviewed. Clinical data, radiologic findings, and follow-up information were analyzed. Histologic features and immunohistochemical profiles were re-evaluated. Targeted next-generation sequencing was performed on a subset of cases.

The majority of tumors (96%) were determined to originate from the endometrium (n = 47) or the tubo-ovarian region (n = 4), with only one case confirmed as a primary cervical carcinoma. Morphologic patterns varied and could mimic human papillomavirus-associated adenocarcinoma. All tumors showed aberrant p53 expression and diffuse p16 positivity. WT-1 was expressed in all tubo-ovarian tumors but in only 12% of endometrial cases. Estrogen receptor and progesterone receptor were frequently positive in endometrial tumors; human epidermal growth factor receptor 2 was positive in 31% of cases. Molecular analysis confirmed tumor protein p53 mutations and other alterations typical of uterine serous carcinoma.

High-grade serous carcinoma identified in cervical biopsies is overwhelmingly secondary to upper genital tract tumors, most commonly of endometrial origin. A small subset of endocervical adenocarcinomas may mimic serous carcinoma. These findings support the exclusion of primary cervical serous carcinoma from the current World Health Organization classification and emphasize the importance of accurate diagnosis for appropriate management.

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer and continues to be a major cause of cancer-related mortality, particularly in regions of China with a high hepatitis B virus prevalence. Early-stage diagnosis remains challenging due to its asymptomatic onset and the limited sensitivity of conventional biomarkers, which together contribute to delayed detection, suboptimal therapeutic outcomes, and poor prognosis. These limitations underscore the urgent need for reliable, sensitive, and specific biomarkers to enable timely detection and targeted intervention. Protein induced by vitamin K absence or antagonist-II, an abnormal prothrombin variant generated under vitamin K deficiency or antagonism, has emerged as a promising candidate with diagnostic and therapeutic relevance in HCC. This review critically examines the molecular and biological characteristics of protein induced by vitamin K absence or antagonist-II, evaluates its clinical utility in HCC diagnosis and management, and delineates the current limitations hindering its broader application. Furthermore, future perspectives are proposed to guide translational research and clinical implementation. Collectively, this review aims to provide a comprehensive theoretical framework to advance precision diagnosis and individualized treatment strategies for HCC.

Laboratory-acquired infections (LAIs) have been documented since the first report of typhoid fever in 1885 and continue to endanger laboratory professionals despite decades of biosafety advances. This review provides a comprehensive overview of LAIs, emphasizing their history, modes of transmission, and strategies for prevention.

A historical narrative review of records, case series, and biosafety guidance (1885–2025) identified documented LAIs, their transmission routes, and preventive measures. Data were extracted on pathogen spectrum, geographic distribution, incident outcomes, and the effectiveness of biosafety interventions.

Historical analysis identified 50 laboratory-acquired typhoid infections with six deaths from 1885 to 1915, largely due to mouth pipetting and aerosol exposure. A sharp decline in fatal bacterial infections was observed following the introduction of Class II biosafety cabinets in the 1960s. From 2000 to 2021, 309 LAIs were reported across 94 studies, most commonly Salmonella enterica (56.6%), vaccinia virus (4.2%), and Brucella species (3.9%), with Brucella responsible for over half of hospital-laboratory cases (60 per 100,000 personnel-years). In Canada during 2023, 63 exposure events occurred, including three confirmed infections despite adherence to biosafety level protocols. Environmental persistence studies underscored surface-borne risks. The most effective preventative measures included abolishing mouth pipetting, mandatory use of gloves and eye/face protection, routine Class II biosafety cabinet use for aerosol-generating procedures, surface disinfection with 0.5% sodium hypochlorite, and annual competency-based biosafety training with incident reporting.

LAIs remain geographically widespread and pathogen-diverse. Quantitative historical trends and contemporary surveillance highlight critical transmission routes, including ingestion, inoculation, mucosal splash, and inhalation, while reinforcing evidence-based prevention strategies. Sustained investment in biosafety infrastructure, real-time exposure reporting, and pathogen-specific training is essential to further reduce LAI incidence and severity in the face of emerging antimicrobial resistance and novel agents.

Precision medicine represents a paradigm shift in healthcare, emphasizing individualized approaches to disease prevention, diagnosis, and treatment based on a patient’s genetic, proteomic, and immunologic profile. In the field of oncology, this paradigm has gained traction, particularly with the integration of immunotherapeutic modalities. Among the most promising advancements are therapeutic cancer vaccines, which harness the body’s immune system to fight tumors more effectively. This mini-review highlights recent developments in therapeutic vaccine engineering. It also discusses key barriers to clinical translation and summarizes findings from contemporary human clinical trials evaluating personalized cancer vaccines. In addition, it evaluates the growing potential of these therapies to redefine cancer treatment.

Breast cancer remains one of the most common cancers affecting women globally, with late detection frequently contributing to its high mortality rate. Multiple factors drive these delays, including a lack of awareness, financial constraints in low-income countries, and limited access to non-invasive and accurate biomarkers. This review aims to introduce biomarkers, particularly hematological and biochemical serum markers, as essential, non-invasive, and accurate tools for improving the diagnosis, prognosis, and therapeutic management of breast cancer. Hematological markers are measurable blood parameters that reflect physiological and pathological processes such as inflammation, infection, cardiovascular stress, autoimmune conditions, and cancer. Routinely measured hematological markers, such as the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and red blood cell indices, are typically obtained from standard tests like the complete blood count. Regular monitoring through complete blood count is essential during cancer treatment to evaluate changes in blood cell counts and detect potential adverse effects. Because of their affordability, minimal infrastructure requirements, and broad accessibility, hematological parameters have been increasingly studied for their association with high-risk factors in breast cancer, particularly in resource-limited settings. Their utility underscores their critical role in improving patient outcomes across diverse healthcare environments. This review summarizes the clinical value of various hematological and serum-based biochemical markers in the screening and diagnosis of breast cancer. Prediction methods that incorporate hematological and serum-based biochemical parameters can support screening, diagnosis, and staging. Overall, individual or combined blood indicators hold significant potential to enhance diagnostic accuracy and effectiveness.

Metabolic dysfunction-associated fatty liver disease (MAFLD) poses a significant challenge in modern medicine due to its high prevalence. The pathogenesis of MAFLD involves a complex dysmetabolic process consistent with the “multiple-hit” hypothesis. This process includes excessive triglyceride (TC) accumulation within hepatocytes, lipotoxicity, insulin resistance (IR), chronic low-grade inflammation, and increased oxidative stress. The role of leptin in the liver has been extensively studied, demonstrating both direct effects on hepatic cells and indirect actions mediated through the central nervous system (CNS). In MAFLD, leptin modulates several physiological processes: it improves glucose metabolism by enhancing insulin sensitivity and lowering glucose levels; regulates lipid metabolism by promoting β-oxidation and TC export while inhibiting lipogenesis; and contributes to fibrogenesis by upregulating transforming growth factor-β (TGF-β) expression and activating hepatic stellate cells (HSCs) and the immune response. This review explores the structure of leptin, its primary physiological functions, its potential role in MAFLD pathogenesis, and its promise as a novel therapeutic target.

Patients with chronic hepatitis B virus (HBV) infection in the immune-tolerant phase may still experience hepatic inflammation and disease progression, and could benefit from early antiviral treatment. This study aimed to investigate changes in the cumulative hepatitis B surface antigen (HBsAg)/HBV DNA ratio in immune-tolerant patients during the transition to the immune-active phase, and to evaluate its potential in predicting the risk of disease progression.

This longitudinal study included 127 untreated immune-tolerant patients, who were followed for up to 10 years. An independent cohort of 109 subjects was retrospectively enrolled for external validation. The relationship between the cumulative HBsAg/HBV DNA ratio and the duration of immune tolerance or transition to the immune-active phase was examined. The predictive value of the ratio was assessed and validated.

The relationship between the cumulative HBsAg/HBV DNA ratio and disease progression risk showed a non-linear pattern: below a ratio of 1.791, the risk of disease progression decreased rapidly as the ratio increased; above 1.791, the risk plateaued. The area under the curve for predicting disease progression was 0.67, 0.64, and 0.85 for cumulative HBsAg, HBV DNA, and the HBsAg/HBV DNA ratio, respectively. Multivariable Cox regression analysis revealed the cumulative HBsAg/HBV DNA ratio as an independent predictor of disease progression, with higher ratios associated with a lower risk. Prediction models incorporating this ratio were developed and externally validated, demonstrating strong performance and clinical utility.

The cumulative HBsAg/HBV DNA ratio is an independent factor influencing the duration of immune tolerance and shows superior predictive performance. It may serve as a valuable marker for assessing the risk of disease progression in patients with chronic HBV infection.

While metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with obesity, the cause of its rapidly rising prevalence is not well understood. In this study, we aimed to examine the association between arsenic exposure and MASLD in humans.

Urinary inorganic arsenic data from the National Health and Nutrition Examination Survey, 2011–2020, were used. These were combined with death certificate data from the National Death Index of the National Center for Health Statistics to ascertain mortality rates. Weighted linear regression and chi-squared analysis were performed.

The analysis included 6,386 participants after exclusions. The mean urinary arsenic level was 5.92 µg/L in participants with MASLD versus 5.59 µg/L in those without. Alanine aminotransferase levels exhibited a statistically significant increasing trend across both continuous arsenic levels and arsenic quintiles. A statistically significant upward trend was observed for the income-to-poverty ratio and body mass index but not for education status. MASLD prevalence was highest among the white population, while an increasing trend was observed in the Hispanic population over the years (p < 0.001). The proportion of Mexican Americans increased to 12.6% in the MASLD group versus 8.09% in the non-MASLD cohort (p < 0.001). There was a statistically significant increase in the odds of MASLD across arsenic exposure levels, with individuals in the highest quintile having a 32% greater likelihood compared to those in the lowest quintile (p-trend = 0.002). The odds further increased to 55% in the highest quintile (odds ratio 1.55, 95% confidence interval: 1.19–2.03; p-trend < 0.001). MASLD was more prevalent in females than males (57.9% vs. 47.6%; p < 0.001), and the mean age increased from 46.9 years to 49.9 years (p = 0.016).

Our findings reveal a positive association between urinary arsenic exposure and MASLD, with increasing trends particularly observed among Hispanics and those with higher income-to-poverty ratios and body mass index.

Actively identifying the risk factors and predictive indicators associated with portal vein thrombosis (PVT) in liver cirrhosis (LC) can enable early diagnosis and treatment, which is of great significance for prolonging the survival of patients with LC. Hemodynamic disturbances, advanced LC, vascular endothelial injury, and mutations in thrombophilic genetic factors are established risk factors for PVT-LC. Venous dilatation and decreased blood flow velocity contribute to hemodynamic disturbances. The severity of LC can be assessed by the degree of portal hypertension, liver metabolic function biomarkers, and validated liver scoring systems. Iatrogenic interventions, endotoxemia, and metabolic syndrome may induce vascular endothelial injury and hypercoagulability, the latter of which can be quantified via coagulation-anticoagulation-fibrinolysis biomarkers. Mutations in thrombophilic genetic factors, such as Factor V Leiden, MTHFR C667T, and JAK2 V617F, disrupt coagulation-anticoagulation homeostasis and predispose patients to PVT-LC. This review specifically focuses on comprehensively delineating established risk factors and predictive indicators for PVT-LC, thereby providing a theoretical foundation for the construction of clinically applicable PVT predictive models to guide early interventions and improve the prognosis. Future research should further validate the associations between recently proposed risk factors and PVT-LC, while simultaneously establishing cutoff values for indicators with robust predictive value to construct a clinically applicable PVT prediction framework.