AI Article Synopsis
Article Abstract
Newly recognized as natural nanocarriers that deliver biological information between cells, extracellular vesicles (EVs), including exosomes and microvesicles, provide unprecedented therapeutic opportunities. Large-scale and cost-effective manufacturing is imperative for EV products to meet commercial and clinical demands; successful translation requires careful decisions that minimize financial and technological risks. Here, we develop a decision support tool (DST) that computes the most cost-effective technologies for manufacturing EVs at different scales, by examining the costs of goods associated with using published protocols. The DST identifies costs of labor and consumables during EV harvest as key cost drivers, substantiating a need for larger-scale, higher-throughput, and automated technologies for harvesting EVs. Importantly, we highlight a lack of appropriate technologies for meeting clinical demands, and propose a potentially cost-effective solution. This DST can facilitate decision-making very early on in development and be used to predict, and better manage, the risk of process changes when commercializing EV products.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6322973 | PMC |
| http://dx.doi.org/10.1002/bit.26809 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Development and Comparative Evaluation of a Reinstructed GPT-4o Model Specialized in Periodontology.
J Clin Periodontol
December 2024
Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Background: Artificial intelligence (AI) has the potential to enhance healthcare practices, including periodontology, by improving diagnostics, treatment planning and patient care. This study introduces 'PerioGPT', a specialized AI model designed to provide up-to-date periodontal knowledge using GPT-4o and a novel retrieval-augmented generation (RAG) system.
Methods: PerioGPT was evaluated in two phases.
Semantic Integration Demands Modulate Large-Scale Network Interactions in the Brain.
Hum Brain Mapp
December 2024
Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
The ability to integrate semantic information into the context of a sentence is essential for human communication. Several studies have shown that the predictability of a final keyword based on the sentence context influences semantic integration on the behavioral, neurophysiological, and neural level. However, the architecture of the underlying network interactions for semantic integration across the lifespan remains unclear.
View Article and Find Full Text PDFPredictive Factors for Cut-Out Risks of Unstable Trochanteric Fractures.
Cureus
November 2024
Diabetes and Endocrinology, National Institute of Diabetes, Nutrition and Metabolic Diseases-Prof. N. Paulescu, Bucharest, ROU.
Fractures of the trochanteric mass represent a significant proportion of hip fractures. These fractures often occur in the elderly due to compromised bone quality, leading to a high predisposition for instability at the fracture site. The study was conducted through a retrospective analysis of 1,259 hospitalizations in the Department of Orthopedics and Traumatology of the Bucharest University Emergency Hospital between 2022 and 2023, including patients with various types of trochanteric mass fractures: basicervical, per trochanteric, intertrochanteric, subtrochanteric, and trochanter-diaphyseal fractures.
View Article and Find Full Text PDFIntegrated Multidisciplinary Approach to Acute Chest Pain: Perspectives From Family Medicine, Emergency Medicine, and Internal Medicine.
Cureus
November 2024
Internal Medicine, Hayatabad Medical Complex, Peshawar, PAK.
Background: Acute chest discomfort is a common clinical problem that has to be well understood and managed collaboratively by specialists from many fields of medicine.
Objective: This study aimed to explore and evaluate the perspectives of healthcare professionals in family, emergency, and internal medicine regarding the management of acute chest pain, with a specific focus on diagnostic practices, interdisciplinary collaboration, and protocol adherence to establish best practices for a unified approach.
Methodology: This cross-sectional study, conducted from June 2022 to July 2024, included 218 healthcare professionals with over a year of experience in family, emergency, and internal medicine, selected through convenient sampling from hospitals such as Lady Reading Hospital, Hayatabad Medical Complex, Mardan Medical Complex, and Government Mian Meer Hospital.
Evaluating the Diagnostic Accuracy of MRI-Derived Prostate-Specific Antigen (PSA) Density in Prostate Cancer Detection and its Association With Tumor Aggressiveness.
Cureus
November 2024
Department of Urology, Sligo University Hospital, Sligo, IRL.
Introduction Prostate-specific antigen density (PSAD), calculated by dividing serum PSA levels by prostate volume, offers greater specificity and accuracy than serum PSA alone in detecting prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of PSAD in PCa detection across different PSA levels and its correlation with Gleason scores. Methods This retrospective, single-center study reviewed data from 154 patients with suspected PCa who underwent prostate MRI between July 2021 and July 2023.
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!