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An Algorithmic Overview of Advanced Pain Therapies: A Narrative Review.
Curr Pain Headache Rep
January 2025
Department of Pain Medicine, Division of Anesthesiology, Critical Care & Pain Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Purpose Of Review: Quickly referenceable, streamlined, algorithmic approaches for advanced pain management are lacking for patients, trainees, non-pain specialists, and interventional specialists. This manuscript aims to address this gap by proposing a comprehensive, evidence-based algorithm for managing neuropathic, nociceptive, and cancer-associated pain. Such an algorithm is crucial for pain medicine education, offering a structured approach for patient care refractory to conservative management.
View Article and Find Full Text PDFOral manifestations of dengue virus infection: a scoping review for clinical dental practice.
BMC Oral Health
January 2025
School of Dentistry, Catholic University of Pelotas (UCPel), Campus da Saúde, Av. Fernando Osório, 1586-Pelotas, Pelotas, RS, Brazil.
Background: Dengue virus (DENV) infection, a mosquito-borne disease, presents a significant public health challenge globally, with diverse clinical manifestations. Although oral dengue manifestations are uncommon, they can serve as crucial diagnostic indicators and impact patient management in dental practice. This scoping review aims to map the evidence on the oral manifestations associated with DENV infection and their clinical implications for dental practice.
View Article and Find Full Text PDFPerspective: Challenges for Personalized Nutrition in the Current U.S. Regulatory Framework and Future Opportunities.
Adv Nutr
January 2025
Pharmavite, LLC, West Hills, CA, USA. Electronic address:
Personalized Nutrition (PN) aims to provide tailored dietary recommendations to improve a person's health outcomes by integrating a multitude of individual-level information and support desired behavior changes. The field is rapidly evolving with technological advances. As new biomarkers are discovered, wearables and other devices can now provide up-to-the-minute insights, and artificial intelligence (AI) and machine learning (ML) models support recommendations and lifestyle behavior change.
View Article and Find Full Text PDFDigital Profiling of Immune Biomarkers in Breast Cancer: Relation to Anthracycline Benefit.
Mod Pathol
January 2025
Interdisciplinary Oncology, University of British Columbia, Vancouver, BC, Canada; MAPcore, University of British Columbia, Vancouver, BC, Canada. Electronic address:
Assessment of the tumor immune microenvironment can be used as a prognostic tool for improved survival and as a predictive biomarker for treatment benefit, particularly from immune modulating treatments including cytotoxic chemotherapy. Using Digital Spatial Profiling (DSP), we studied the tumor immune microenvironment of 522 breast cancer cases by quantifying 35 immune biomarkers on tissue microarrays from the MA.5 phase III clinical trial.
View Article and Find Full Text PDFStatistical models versus machine learning approach for competing risks in proctological surgery.
Updates Surg
January 2025
Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.
Clinical risk prediction models are ubiquitous in many surgical domains. The traditional approach to develop these models involves the use of regression analysis. Machine learning algorithms are gaining in popularity as an alternative approach for prediction and classification problems.
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