Over the millennia, patterns of food consumption have changed; however, foods were always whole foods. Ultra-processed foods (UPFs) have been a very recent development and have become the primary food source for many people. The purpose of this review is to propose the hypothesis that, forsaking the evolutionary dietary environment, and its complex milieu of compounds resulting in an extensive metabolome, contributes to chronic disease in modern humans. This evolutionary metabolome may have contributed to the success of early hominins. This hypothesis is based on the following assumptions: (1) whole foods promote health, (2) essential nutrients cannot explain all the benefits of whole foods, (3) UPFs are much lower in phytonutrients and other compounds compared to whole foods, and (4) evolutionary diets contributed to a more diverse metabolome. Evidence will be presented to support this hypothesis. Nutrition is a matter of systems biology, and investigating the evolutionary metabolome, as compared to the metabolome of modern humans, will help elucidate the hidden connections between diet and health. The effect of the diet on the metabolome may also help shape future dietary guidelines, and help define healthy foods.

Background: Hepatopancreatobiliary (HPB) surgery is among the most complex domains in oncologic care, where decisions entail significant risk–benefit considerations. Artificial intelligence (AI) has emerged as a promising tool for improving individualized decision-making through enhanced risk stratification, complication prediction, and survival modeling. However, its role in HPB oncologic surgery has not been comprehensively assessed. Methods: This systematic review was conducted in accordance with PRISMA guidelines and registered with PROSPERO ID: CRD420251114173. A comprehensive search across six databases was performed through 30 May 2025. Eligible studies evaluated AI applications in risk–benefit assessment in HPB cancer surgery. Inclusion criteria encompassed peer-reviewed, English-language studies involving human s ubjects. Two independent reviewers conducted study selection, data extraction, and quality appraisal. Results: Thirteen studies published between 2020 and 2024 met the inclusion criteria. Most studies employed retrospective designs with sample sizes ranging from small institutional cohorts to large national databases. AI models were developed for cancer risk prediction (n = 9), postoperative complication modeling (n = 4), and survival prediction (n = 3). Common algorithms included Random Forest, XGBoost, Decision Trees, Artificial Neural Networks, and Transformer-based models. While internal performance metrics were generally favorable, external validation was reported in only five studies, and calibration metrics were often lacking. Integration into clinical workflows was described in just two studies. No study addressed cost-effectiveness or patient perspectives. Overall risk of bias was moderate to high, primarily due to retrospective designs and incomplete reporting. Conclusions: AI demonstrates early promise in augmenting risk–benefit assessment for HPB oncologic surgery, particularly in predictive modeling. However, its clinical utility remains limited by methodological weaknesses and a lack of real-world integration. Future research should focus on prospective, multicenter validation, standardized reporting, clinical implementation, cost-effectiveness analysis, and the incorporation of patient-centered outcomes.

β-blockers (BBs) remain a cornerstone therapy for cardiovascular disorders, reducing heart rate, blood pressure, and arrhythmia risk. Yet, their influence extends well beyond the heart, impacting renal function, inflammatory responses, metabolism, and endocrine balance. Although cardio-selective BBs are designed to minimize off-target effects, they still modulate immune signaling and hormonal pathways, producing paradoxical outcomes. Suppression of sympathetic tone and RAAS activity underpins therapeutic benefit but may also contribute to renal hypoperfusion, electrolyte imbalance, and pro-inflammatory changes, especially in patients receiving combination therapy with RAAS inhibitors or diuretics. Genetic polymorphisms (e.g., ADRB1, GRK5, eNOS, CYP2D6) and comorbidities further shape individual responses. This review integrates cardiovascular, renal, and immune perspectives to map the pathways by which BBs influence systemic homeostasis, highlighting cytokine interactions and disease-specific remodeling. We emphasize the need for personalized, biomarker-guided strategies, leveraging pharmacogenomics, multi-omics, and machine learning tools to optimize BB selection and dosing. By reframing BBs as dynamic modulators of the cardio-renal-immune axis, this review advances their role in precision cardiovascular medicine.

Introduction: The Competency-Based Assessment of Robotic Surgery Skills (CARS) scale was developed as a novel approach to assess robotic surgery (RS) skills through 10 relevant RS competencies. CARS 2.0 aimed to expand on the findings of CARS by conducting a global survey study in which participants graded a blinded, edited surgical video with the CARS scale for 7 competencies measurable via video. Methods: CARS 2.0 is being conducted globally, including participants across medical specialties and training stages, from medical students to attending/consultant surgeons. Participants evaluated a blinded, edited surgical video using the CARS scale via an anonymous Google form, focusing on 7 video-measurable competencies. Results: A total of 320 responses were collected over 3 months, including 125 (39.06%) attending/consultant surgeons, 98 (30.6%) surgical specialty postgraduate trainees, 96 (30%) medical students, and 1 pre-medical student. ANOVA (analysis of variance) analysis showed that the operator scores increased with the evaluators’ level of experience, reaching statistical significance across all 7 competency categories. Spearman’s correlation indicated moderate associations between participants’ surgical experience and proficiency (ρ = 0.314, P < 0.001), as well as between their comfort with the CARS scale and proficiency (ρ = 0.337, P < 0.001). Regression analysis demonstrated that robotic stapler use and camera handling were predictors of higher CARS scores based on participants’ experience. Conclusion: CARS represents a first step toward establishing competency-based assessment of RS performance independent of specific surgical procedures. Its integration into surgical training programs can facilitate trainees’ attainment of RS competency. Longitudinal studies could further validate its effectiveness at improving surgical training with its implementation into training curricula.

Background: Even with advanced management involving pharmacologic and ventilatory strategies, respiratory dysfunction increases morbidity and reduces the quality of life. This narrative review examines how craniofacial and cervical manipulative interventions—including nasomaxillary skeletal expansion, breathing re-education, and structural techniques—may holistically optimize airway function by enhancing neurological and lymphatic dynamics, modulating vagal tone, reducing pharyngeal collapsibility, and supporting immune regulation across diverse clinical settings. Objectives: To explore manual techniques that influence respiratory and autonomic function and to evaluate their reported clinical efficacy and supporting evidence, particularly in the context of airway disorders such as asthma and pneumonia. Methods: A narrative review of the literature from PubMed and Google Scholar was conducted using search terms related to airway function and osteopathic manipulative techniques (OMTs). The inclusion criteria spanned 2010–2025 English-language peer-reviewed full-text articles on airway function, OMT, and emergency airway maneuvers. Clinical trials, observational studies, and reviews were included; non-peer-reviewed content and animal studies (unless mechanistically relevant) were excluded. Chapman’s reflexes related to respiratory function were incorporated to highlight somatic–visceral correlations. Key Findings: The techniques reviewed included frontal lift, vomer manipulation, maxillary and zygomatic balancing, and cervical adjustments. Thoracic OMT methods, such as diaphragm doming and lymphatic pump techniques, were also addressed. Emergency techniques, such as the BURP and Larson maneuvers, prone positioning, and high-frequency chest wall oscillation, were presented as comparative strategies to OMTs for acute airway management. Conclusions: Craniofacial and cervical manipulations can be a promising adjunct for enhancing airway function. However, the current literature displays heterogeneity and lack of large-scale randomized trials, which emphasize the necessity for standardized research and the establishment of clinical guidelines with the collected evidence.