Objective: To develop a simplified extraction method for analyzing phospholamban using reduced cardiac tissue. Approach: Extraction Method: A one-pot method usi
A single test is unlikely to provide comprehensive answers for neurodegenerative diseases, which require a multimodal assessment approach.
Biomarkers and imaging have advanced the understanding of neurodegenerative diseases, but they do not fully explain individual patient experiences.
Multimodal assessment integrates various data types, including molecular biomarkers, imaging, and clinical evaluations, to create a clearer patient picture.
Pathologists play an expanded role in neurodegenerative diagnostics, emphasizing the importance of interpreting laboratory results within a broader clinical context.
The future of neurodegenerative diagnostics relies on combining complementary measures to track disease progression and guide clinical decisions.
Objective: To investigate the ability of Escherichia coli RNA polymerase to transcribe an expanded genetic alphabet containing eight nucleotide letters. Approac
Objective: To examine the accessibility of PSMA PET/CT for prostate cancer management, focusing on implementation challenges and the need for timely access. App
Objective: To address criticisms raised by Ibsen and colleagues regarding ultra-processed foods (UPFs) and their health effects. Approach: Criticism 1: UPFs are
Critics argue that ultra-processed foods (UPFs) form a biochemically incoherent category, complicating causal inference and policy development.
Dietary pattern approaches are essential for understanding health effects, as they reflect real-world food combinations rather than isolated nutrient analysis.
UPFs are associated with harmful attributes, including excessive energy density and additives, which are not present in traditional healthy diets.
Epidemiological studies show that UPF consumption correlates with chronic diseases, even after adjusting for traditional diet quality measures.
Criticism of evidence comparing UPFs to minimally processed foods overlooks the real-world dietary shifts from traditional diets to UPFs.
An authorship-name discrepancy was identified in the article 'Validation of a Machine Learning Approach for Predicting Hemodynamic Instability in the ICU.'.
The author Lin Yung‑Yang was incorrectly listed as Lin Yung‑Yan in the original publication.
The correction was made to reflect the accurate author designation of Lin Yung‑Yang.
The correction was published in Critical Care (2022) 26:215.
The authors updated the notice to clarify the authorship issue.
Objective: To evaluate the effectiveness of the Prognostic Nutritional Index (PNI) and Neutrophil-to-Lymphocyte Ratio (NLR) measured before surgery in predictin
Objective: To discuss the implications of AI in healthcare and the need for regulatory measures. Approach: Podcast Episode: Chip Kahn hosts a discussion with St
Objective: To reduce total new heterotopic ossification volume in patients with fibrodysplasia ossificans progressiva. Approach: Study Design: A randomized, dou
Objective: To reduce the risk of relapse in adult and pediatric patients aged 2 years and older with frequently relapsing or steroid-dependent, childhood-onset,
The FDA approved obinutuzumab (Gazyva) for reducing relapse risk in patients aged 2 and older with frequently relapsing idiopathic nephrotic syndrome.
Idiopathic nephrotic syndrome causes urinary protein loss, low blood albumin, and can lead to complications like high cholesterol and infections.
The condition primarily affects pediatric patients, typically developing between ages 2 and 7, with an annual incidence of 1 to 4 cases per 100,000.
Efficacy of obinutuzumab was evaluated in the INSHORE trial, showing a statistically significant improvement over standard treatment.
Obinutuzumab carries warnings for hepatitis B virus reactivation and progressive multifocal leukoencephalopathy, with common side effects including infections.
Objective: To explore how computer vision can extract actionable insights from surgical video, enhancing documentation and decision-making in surgery. Approach:
Computer vision can extract actionable data from surgical videos, enhancing documentation and decision-making in surgical procedures.
AI-generated operative reports achieved 87.3% accuracy, surpassing the 72.8% accuracy of surgeon-written reports in a study of robotic prostatectomy videos.
Computer vision models can evaluate bladder lesions, achieving AUCs of 0.829 and 0.867 in predicting tumor histology from surgical video.
AI can automate routine surgical tasks, such as instrument counting, potentially improving efficiency and safety in the operating room.
Challenges remain for clinical use of AI models, including the need for diverse training data and validation across different surgical settings.
Objective: To report on two cases of laser-induced chrysiasis following gold salt therapy for rheumatoid arthritis and evaluate treatment options. Approach: Pat
Objective: To analyze trends in alcohol-attributable cancer mortality in the United States from 1990 to 2023. Approach: Data Analysis: Investigators analyzed Gl
Objective: To provide updated clinical practice guidelines for tobacco and nicotine dependence treatment in military service members and veterans. Approach: Gui