Latest AI and machine learning research in clinical trials for healthcare professionals.
The increasing breadth and depth of resolution in biological and clinical data, including -omics and real-world data, requires advanced analytical techniques like artificial intelligence (AI) and machine learning (ML) to fully appreciate the impact of multi-dimensional population variability in intrinsic and extrinsic factors on disease progression and treatment outcomes. Integration of advanced d...
This analysis aimed to characterize the exposure-response relationship of bevacizumab in non-small-cell lung cancer (NSCLC) and evaluate the efficacy of SB8, a bevacizumab biosimilar, and Avastin, the reference bevacizumab sourced from the European Union (EU), based on the exposure reported in a comparative phase III efficacy and safety study (EudraCT, 2015-004026-34; NCT02754882). The overall s...
BACKGROUND: Thoracic segmental spinal anesthesia (SA) may be a good alternative to general anesthesia (GA) for abdominal operations and laparoscopic p...
The use of data from randomized clinical trials to justify treatment decisions for real-world patients is the current state of the art. It relies on t...
Road safety is a critical concern that impacts both human lives and urban development, drawing significant attention from city managers and researcher...
PURPOSE: Literature on the treatment of pre-transplant hepatic osteodystrophy (HOD) is limited. The general treatment measures and their timing are cu...
Thyroid surgery is characterized by large volumes and typically affects a young female population. Mini-invasive or remote access surgical techniques ...
One of the main challenges in small molecule drug discovery is finding novel chemical compounds with desirable activity. Traditional drug development ...
Annexin A5 is a phosphatidylserine binding protein with anti-inflammatory, anticoagulant and anti-apoptotic properties. Preclinical studies have show...
BACKGROUND: The quest to increase safety awareness, make job sites safer, and promote decent work for all has led to the utilization of digital techno...
BACKGROUND: Adenoma detection rate (ADR) is an important indicator of colonoscopy quality and colorectal cancer incidence. Both linked-color imaging (...
Occupational ApplicationsAutonomous mobile robots are used in manufacturing and warehousing industries, to transport material across the facility and ...
Policosanol supplementation has been reported to increase high-density lipoprotein (HDL)-cholesterol (HDL-C). However, the association between Cuban p...
Plant extracts are rich in a variety of nutrients and contain a large number of bioactive compounds, and compared with traditional feed additives, the...
The adoption of advanced artificial intelligence (AI) systems in healthcare is transforming the healthcare-delivery landscape. Artificial intelligence...
OBJECTIVE: To evaluate the safety and efficacy of robot-assisted radical cystectomy using an intracorporeal ileal conduit in older compared to younger...
To examine the comparative robustness of computed tomography (CT)-based conventional radiomics and deep-learning convolutional neural networks (CNN) t...
BACKGROUND AND AIMS: The aim of this study was to determine if utilization of artificial intelligence (AI) in the course of endoscopic procedures can ...
The application of voriconazole in patients with liver dysfunction lacks pharmacokinetic data. In previous study, we proposed to develop voriconazole...
BACKGROUND: Post-stroke clinical changes not only affect extremities and trunk muscles but also the respiratory muscles.