Health economic evaluation of an artificial intelligence (AI)-based rapid nutritional diagnostic system for hospitalised patients: A multicentre, randomised controlled trial.

Background & Aims: Malnutrition is prevalent among hospitalised patients, and increases the morbidity, mortality, and medical costs; yet nutritional assessments on admission are not routine. This study assessed the clinical and economic benefits of using an artificial intelligence (AI)-based rapid nutritional diagnostic system for routine nutritional screening of hospitalised patients.

Methods: A nationwide multicentre randomised controlled trial was conducted at 11 centres in 10 provinces.

[Identification of wheat and barley hybrid offspring by GISH and PAGE].

Genomic in situ hybridization (GISH) and polyacrylamide gel electrophoresis (PAGE) of wheat seed were used to identify the barley chromosome in offspring of wheat and barley hybrid. A sires of alien addition lines, alien substitution lines and translocation lines were detected by GISH. WBA984 and WBA9812 were alien addition lines, WBS0215 and WBS0264 were alien substitution lines,and WBT02125 and WBT02183 were translocation lines in chromosome terminal.