Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4261733 | PMC |
| http://dx.doi.org/10.3389/fnhum.2014.00998 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Combining Multifrequency Magnetic Resonance Elastography With Automatic Segmentation to Assess Renal Function in Patients With Chronic Kidney Disease.
J Magn Reson Imaging
January 2025
Department of Radiology, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine (Shenzhen Traditional Chinese Medicine Hospital), Shenzhen, China.
Background: Multifrequency MR elastography (mMRE) enables noninvasive quantification of renal stiffness in patients with chronic kidney disease (CKD). Manual segmentation of the kidneys on mMRE is time-consuming and prone to increased interobserver variability.
Purpose: To evaluate the performance of mMRE combined with automatic segmentation in assessing CKD severity.
An Automated Tool for Glycosimilarity Assessment of mAb Therapeutic Biosimilars: Trastuzumab and Bevacizumab as Case Studies.
BioDrugs
January 2025
Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Background: With the expiration of patents for multiple biotherapeutics, biosimilars are gaining traction globally as cost-effective alternatives to the original products. Glycosylation, a critical quality attribute, makes glycosimilarity assessment pivotal for biosimilar development. Given the complexity of glycoanalytical profiles, assessing glycosimilarity is nontrivial.
View Article and Find Full Text PDFConstruction and validation of a nomogram prediction model for the occurrence of complications in patients following robotic radical surgery for gastric cancer.
Langenbecks Arch Surg
January 2025
Department of General Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China.
Background: In the last two decades, robotic-assisted gastrectomy has become a widely adopted surgical option for gastric cancer (GC) treatment. Despite its popularity, postoperative complications can significantly deteriorate patient quality of life and prognosis. Therefore, identifying risk factors for these complications is crucial for early detection and intervention.
View Article and Find Full Text PDFRole of artificial intelligence in predicting disease-related malnutrition - A narrative review.
Nutr Hosp
January 2025
Centro de Investigación de Endocrinología y Nutrición. Universidad de Valladolid.
Background: disease-related malnutrition (DRM) affects 30-50 % of hospitalized patients and is often underdiagnosed, increasing risks of complications and healthcare costs. Traditional DRM detection has relied on manual methods that lack accuracy and efficiency.
Objective: this narrative review explores how artificial intelligence (AI), specifically machine learning (ML) and deep learning (DL), can transform the prediction and management of DRM in clinical settings.
A Non-invasive Lung Disease Study of Exhaled Breath Nitric Oxide Based on Ultraviolet Differential Absorption Spectroscopy Techniques.
J Biophotonics
January 2025
Clinical Research Center for Respiratory Disease (Tumor) in Anhui Province, Bengbu, Anhui Province, China.
In this study, a non-invasive device based on ultraviolet differential absorption spectroscopy (UV-DOAS) technology for detecting fractional exhaled nitric oxide (FeNO)was developed and clinically validated in patients with various lung diseases. The diagnostic potential of FeNO was explored by analysing subgroups of patients with lung cancer, nodules, and other disease. The results showed that FeNO concentrations were significantly higher in patients with malignant tumours than in healthy controls (p < 0.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!