Amanda E. Brooks

Congenital melanocytic nevi (CMN) are pigmented skin lesions present at birth with a variable risk of developing into melanoma over time. The mitogen-activated protein kinase signaling (MAPK) pathway plays a critical role in the development and progression of CMN, making it a key target for therapeutic interventions. Precision medicine aims to optimize therapeutic efficacy while minimizing adverse effects by tailoring treatments to individuals’ genetic and molecular profiles. This literature review examines the potential of precision medicine in managing CMN, with a specific focus on MEK inhibition within the MAPK pathway, summarizing current preclinical and clinical evidence, mechanisms of action, and therapeutic integration with surgical management strategies. Although early results are promising, the need for personalized treatment strategies, informed by genetic testing and biomarker profiling, is emphasized to improve the management of CMN and reduce the risk of malignant transformation. Further research is necessary to establish the long-term safety and effectiveness of MEK inhibition in CMN therapy, which could offer a more targeted and individualized approach to care.

Background/Objectives: Radiomics-based machine learning models have demonstrated high accuracy in differentiating benign from malignant orbital masses, with early studies suggesting performance comparable to expert radiologists. However, translation into clinical practice remains limited due to dataset constraints, including retrospective study designs, single-center cohorts, and underrepresentation of diverse patient populations. This review aims to evaluate the current evidence supporting radiomics in orbital disease while critically examining barriers to generalizability and equity across ophthalmology, otolaryngology, and plastic surgery. Methods: A narrative literature review was conducted to assess radiomics applications in orbital oncology and reconstruction. Studies evaluating diagnostic accuracy, margin assessment, postoperative surveillance, and surgical planning across ophthalmology, head and neck surgery, and reconstructive surgery were analyzed, with particular attention paid to dataset composition, validation strategies, and imaging standardization. Results: Radiomics models demonstrated high diagnostic performance in differentiating orbital tumors, optimizing surgical planning, and aiding postoperative monitoring. However, most studies relied on small, homogeneous datasets lacking racial, ethnic, and pediatric representation. External validation was uncommon, and imaging heterogeneity limited reproducibility. These deficiencies restrict the clinical translation of radiomics and risk exacerbating healthcare disparities, particularly among underrepresented populations. Conclusions: Radiomics holds promise as a precision medicine tool for orbital diagnosis, surgical navigation, and postoperative care. Nevertheless, its clinical adoption is constrained by dataset bias, lack of standardization, and limited prospective validation. Future progress requires multi-institutional, demographically diverse datasets and standardized imaging protocols to ensure equitable and generalizable implementation across specialties.

Background: Neuroimaging protocols for neurotologic disease are often developed without consideration of patient-specific factors such as biological differences, clinical presentation variability, and comorbidities. This lack of tailored design contributes to insufficient detection, delayed diagnosis, and inappropriate treatment. Objectives: To critically examine the literature on diagnostic limitations of neuroimaging for neurotologic lesions and identify gaps in protocol validation, accuracy, and clinical translation. Methods: A systematic review of PubMed and Google Scholar was conducted, focusing on studies published between 2015 and 2025 that evaluated diagnostic imaging outcomes in patients with neurotologic lesions. Eligible studies included prospective cohorts, retrospective analyses, and consensus statements. Outcomes of interest included the sensitivity and specificity of imaging modalities, prevalence of misdiagnosis, and the influence of biological, anatomical, and clinical variability on diagnostic performance. Results: The literature demonstrates that neurotologic disorders are frequently associated with diagnostic challenges, including atypical clinical presentations, overlapping symptoms, and stroke mimics, which complicate image interpretation. Standard magnetic resonance imaging (MRI) protocols often miss subtle or early ischemic changes, resulting in delayed intervention. Few studies stratify outcomes by patient characteristics, and most protocols were developed in generalized populations without comprehensive validation. Evidence on advanced imaging modalities (positron emission tomography (PET), single-photon emission computed tomography (SPECT), high-resolution MRI) remains limited, and large-scale prospective studies addressing diagnostic accuracy gaps are lacking. In summary, a total of 27 studies met inclusion criteria. Conclusions: Current neuroimaging methods are insufficiently validated across diverse patient populations, contributing to the underdiagnosis and mismanagement of neurotologic disease. Improved diagnostic accuracy will require large-scale, prospective research, standardized outcome reporting, and imaging protocols designed to account for patient-specific variability.

Fatigue is a pervasive burden for emerging medical professionals, often impacted by stress and lifestyle factors, yet insufficiently explained by these aspects alone. Considering the profound immediate and long-term consequences for physician well-being and patient care, exploring the interplay between biological factors, such as the oral microbiome and fatigue, emerges as a critical area of investigation. This exploratory longitudinal study investigates the relationship between oral microbiome diversity and fatigue in first-year medical students across four timepoints, where they provided buccal swabs and completed lifestyle and standardized stress, sleep, and fatigue assessments (PSQI, FAS, PSS). Microbiome analysis was performed using 16S rRNA sequencing and QIIME2-based bioinformatics to identify genus-level profiles and core microbiome composition. Forty-five healthy participants were assessed. Significant increases in fatigue and fluctuations in oral microbiome diversity were observed, with alpha diversity peaking mid-year before declining. Illness frequency and antibiotic use also rose, potentially influencing microbial shifts. These fluctuations may be indicative of an adaptation process where oral microbial diversity adjusts to changes in the subject’s environment, which in this case is entering medical school. Despite no clear clustering in biodiversity metrics, associations between fatigue and microbiome richness were noted, suggesting that physiologic fatigue and environmental stressors may contribute to microbial variability. Limitations of the study include a small sample size, attrition, and representativeness of the study population. This study presents a longitudinal baseline that may serve as a reference for future investigations. These findings may support the development of targeted interventions designed to modulate microbial composition as a novel approach to alleviating fatigue.

Advances in silk-based tissue-engineered constructs offer promising opportunities to improve tendon and ligament repair by increasing graft availability and enhancing patient outcomes. The rising demand for tendon and ligament reconstruction highlights the need for biomaterials that address limitations of autografts and allografts, including donor-site morbidity, limited supply, and immune rejection risks. Silk-based scaffolds leverage their tunable biomechanical properties—such as Young’s modulus, ultimate tensile strength, and strain to failure—to closely mimic native tendon and ligament function. This review synthesizes current literature on silk-derived grafts, summarizing their mechanical performance, fabrication strategies, and translational potential. Emphasis is placed on spider silk, which demonstrates exceptional tensile strength, elasticity, and biocompatibility, making it a strong candidate for next-generation scaffolds. Remaining challenges include optimizing in vivo degradation rates, enhancing tendon-to-bone (enthesis) integration, developing tunable structural and biochemical features, improving manufacturability, and validating clinical efficacy through standardized testing and robust clinical trials. Additional limitations to the application of silk as a biomaterial scaffold include high production costs, challenges associated with controlled spinning and processing, and the current lack of scalable manufacturing methods. Continued innovation and rigorous preclinical and clinical evaluation will be critical to realizing silk’s potential in advancing tendon and ligament repair and improving long-term functional outcomes.

The medical condition of pregnancy-associated breast cancer (PABC) requires oncologists to determine the best way to protect both the mother and the fetus during cancer treatment. The safety profile of taxanes, including paclitaxel and docetaxel, in the second and third trimesters of pregnancy remains unclear despite well-established anthracycline-based regimens (e.g., doxorubicin). High-risk breast cancer subtypes such as triple negative breast cancer (TNBC) and human epidermal growth factor receptor (HER2)-positive disease require taxane chemotherapy as standard treatment in nonpregnant patients. Objective: This paper aims to gather available data about the safety, timing and fetal outcomes related to taxane chemotherapy during PABC, focusing on pharmacological and clinical guidance. Methods: A targeted literature review of PubMed and Scopus databases was performed to identify case series, cohort studies, and clinical guidelines addressing taxane use during pregnancy. This was not conducted as a formal systematic review or meta-analysis, but as a comprehensive narrative synthesis of available data. Results: The pharmacological properties of paclitaxel and docetaxel limit their placental transfer. Paclitaxel has not been associated with increased congenital anomalies; however, the long-term developmental data remain limited. Similarly, docetaxel administration shows no increase in major malformations. The most common approach used in PABC is to administer anthracyclines first and taxanes after 16–18 weeks’ gestation. The adverse effects experienced by pregnant patients match those experienced by nonpregnant patients. Conclusions: Taxanes can be used with caution after the first trimester in patients with PABC, especially in high-risk cases following anthracycline treatment. The absence of randomized trials combined with limited developmental data highlight the need for more standardized treatment approaches, aligning with current guideline recommendations.

Despite the significant advances in antibiotic treatments and therapeutics, Staphylococcus aureus (S. aureus) remains a formidable pathogen, primarily due to its rapid acquisition of antibiotic resistance. Known for its array of virulence factors, including surface proteins that promote adhesion to host tissues, enzymes that break down host barriers, and toxins that contribute to immune evasion and tissue destruction, S. aureus poses a serious health threat. Both the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) classify S. aureus as an ESKAPE pathogen, recognizing it as a critical threat to global health. The increasing prevalence of drug-resistant S. aureus underscores the need for new therapeutic strategies. This review discusses a promising approach that combines monoclonal antibodies targeting multiple S. aureus epitopes, offering synergistic efficacy in treating infections. Such strategies aim to reduce the capacity of the pathogen to develop resistance, presenting a potent adjunct or alternative to conventional antibiotic treatments.

(1) Background: Osteoarthritis is a degenerative joint disease that is commonly diagnosed in the aging population. Interestingly, the lower extremity joints have a higher published incidence of osteoarthritis than the upper extremity joints. Although much is known about the disease process, it remains unclear why some joints are more affected than others. (2) Methods: A comprehensive literature review was conducted utilizing the search engines PubMed, Google Scholar, and Elsevier from 2014 to 2024, directing our search to osteoarthritis of various joints, with the focus being on glenohumeral osteoarthritis. (3) Results and Discussion: The literature review revealed a publication difference, which may be explained by the inconsistency in classification systems utilized in the diagnosis of shoulder osteoarthritis. For instance, there are six classification systems employed in the diagnosis of glenohumeral osteoarthritis, making the true incidence and, therefore, the prevalence unobtainable. Furthermore, susceptibility to osteoarthritis in various joints is complicated by factors such as joint anatomy, weight-bearing status, and prior injuries to the joint. (4) Conclusions: This review reveals the lack of understanding of shoulder osteoarthritis’s true incidence and prevalence while considering the anatomy and biomechanics of the glenohumeral joint. In addition, this is the first paper to suggest a single criterion for the diagnosis of glenohumeral osteoarthritis.

US medical students, even before the COVID-19 pandemic, exhibited higher rates of mental health challenges than age-matched cohorts. The National Resident Matching Program (NRMP) match process, which places medical students into residency, is the culmination of medical school training and a well-recognized stressor that amplifies anxiety levels and the mental strain that accompanies medical school. Facing an unprecedented year with a decrease in 2021 NRMP placement percentages, Rocky Vista University College of Osteopathic Medicine (RVUCOM) introduced an innovative new program, the predoctoral internship (PDI), to support students who did not match into a residency program. At no extra expense to the student, this program offers a year-long opportunity to customize experiences in both clinical and academic settings, along with leadership training, aimed at bolstering their residency applications. Alternatively, students could participate in a Master's PDI (MPDI), which allowed students to concurrently pursue a master's degree of their choosing with an external program. RVUCOM achieved 100% placement for students completing the PDI or MPDI program, aligning with the institution's historical graduate trends. Perhaps equally important, students in the program reported feeling supported and less ashamed, fostering loyalty to RVUCOM. Transparency in communication and leaning into institutional values reinforced trust within community partners. The intentional balance of rigor and support, coupled with faculty investment, proved crucial for success. The experience held students accountable, allowing personal and professional growth and fostering the development of a deeper professional identity. RVUCOM's innovative approach to unplaced students not only addresses the challenges faced by RVUCOM students not achieving a residency placement, but also transforms an unforeseen circumstance into an opportunity for growth, resilience, and the development of more competitive and accountable medical graduates.