Latest AI and machine learning research in clinical trials for healthcare professionals.
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...
A major impediment to anti-cancer drug development is the lack of a reliable and inexpensive tumor m...
BACKGROUND AND PURPOSE: Cardiovascular fitness is greatly reduced after stroke. Although individuals...
OBJECTIVE: To determine the effects of recombinant human erythropoietin (rhEPO) on functional outcom...
The aim of this study is to evaluate the effects of verticalization with or without combined movemen...
BACKGROUND: It is unclear which terms should be included in bibliographic searches for randomized co...
The use of robots in orthopaedic surgery is an emerging field that is gaining momentum. It has the p...
Proline residues are common source of kinetic complications during folding. The X-Pro peptide bond i...
Patient Safety (PS) standardization is the key to improve interoperability and expand international ...
Over the past decade, improving healthcare quality and safety through patient safety event reporting...
Clinical trials are studies designed to assess whether a new intervention is better than the current...
The corrections ("stipulations") to a proposed research study protocol produced by an institutional ...
Data quality was placed as a major reason for the low utility of patient safety event reporting syst...
The design of the mobility enhancement robotic wheelchair (MEBot) was based on input from electric p...
INTRODUCTION: There is sparse evidence of the effect of vitamin D on bone biomarkers in diabetic pat...
OBJECTIVES: To evaluate the efficacy and safety of intra-articular Soaking of high concentration Tra...
Therapy of chronic hepatitis C presently achieves 60% of sustained virological response, with clear ...
The effects of a chemical defense pretreatment drug, pyridostigmine bromide (PB), on in-flight aircr...