Download full-text PDF

Source

Publication Analysis

Top Keywords

[clinical trials
4
trials anesthesia
4
anesthesia phentanyl
4
phentanyl r-4263
4
r-4263 dehydrobenzperidol
4
dehydrobenzperidol r-4749]
4
[clinical
1
anesthesia
1
phentanyl
1
r-4263
1

Similar Publications

Objective: Previous experiments have demonstrated that BGM0504, a GLP-1R/GIPR dual agonist drug by molecular dynamics-guided optimization, had enhanced agonistic activity compared to tirzepatide. This study aims to investigate its safety, tolerability, pharmacokinetics (PK) and pharmacodynamics (PD) in Chinese healthy volunteers.

Methods: A randomized, double-blind, placebo-controlled and dose-escalation Phase I study was conducted as follows: a single dose (2.

View Article and Find Full Text PDF

Patient stratification remains a challenge for optimal treatment of prostate cancer (PCa). This clinical heterogeneity implies intra-tumoural heterogeneity, with different prostate epithelial cell subtypes not all targeted by current treatments. We reported that such cell subtypes are traceable in liquid biopsies through representative transcripts.

View Article and Find Full Text PDF

Objective: To determine the feasibility, efficacy, and safety of cold stored compared to room temperature platelet transfusion in patients with traumatic brain injury.

Summary Background Data: Data demonstrating the safety and efficacy of cold stored platelet transfusion are lacking following traumatic brain injury.

Methods: A phase 2, randomized, open label, clinical trial was performed at a single U.

View Article and Find Full Text PDF

Traditional drug discovery methods such as wet-lab testing, validations, and synthetic techniques are time-consuming and expensive. Artificial Intelligence (AI) approaches have progressed to the point where they can have a significant impact on the drug discovery process. Using massive volumes of open data, artificial intelligence methods are revolutionizing the pharmaceutical industry.

View Article and Find Full Text PDF

This literature review explores the emerging role of digital twin (DT) technology in ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs integrate diverse data sources, including genetic, environmental, and real-time patient data, to create dynamic, predictive models that enhance risk assessment, surgical planning, and postoperative care. The review highlights vital case studies demonstrating the application of DTs in improving the early detection and management of diseases such as glaucoma and age-related macular degeneration.

View Article and Find Full Text PDF

Want 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!