An electronic medical record system with treatment recommendations based on patient similarity.

As the core of health information technology (HIT), electronic medical record (EMR) systems have been changing to meet health care demands. To construct a new-generation EMR system framework with the capability of self-learning and real-time feedback, thus adding intelligence to the EMR system itself, this paper proposed a novel EMR system framework by constructing a direct pathway between the EMR workflow and EMR data. A prototype of this framework was implemented based on patient similarity learning.

Design and development of a medical big data processing system based on Hadoop.

Secondary use of medical big data is increasingly popular in healthcare services and clinical research. Understanding the logic behind medical big data demonstrates tendencies in hospital information technology and shows great significance for hospital information systems that are designing and expanding services. Big data has four characteristics--Volume, Variety, Velocity and Value (the 4 Vs)--that make traditional systems incapable of processing these data using standalones.

Influence of Per3 genotypes on circadian rhythmicity in flight cadets after militarized management.

Objective: The purpose of this study was to explore the effect of PERIOD3 (PER3) genotypes on circadian rhythmicity in flight cadets after militarized management.

Methods: We performed a preliminary study in 146 newly enrolled male flight cadets. Venous blood samples were collected, and genotyping of PER3 (4/5) was determined by using PCR.

Creating hospital-specific customized clinical pathways by applying semantic reasoning to clinical data.

Objective: Clinical pathways (CPs) are widely studied methods to standardize clinical intervention and improve medical quality. However, standard care plans defined in current CPs are too general to execute in a practical healthcare environment. The purpose of this study was to create hospital-specific personalized CPs by explicitly expressing and replenishing the general knowledge of CPs by applying semantic analysis and reasoning to historical clinical data.

Novel method for extracting exosomes of hepatocellular carcinoma cells.

Aim: To develop a novel method for the rapid and efficient extraction of exosomes secreted by tumor cells.

Methods: Unlike the traditional extraction method, the supernatants of cell cultures were concentrated, and the exosomes were isolated promptly and effectively using a novel nanomaterial called ExoQuick. Coomassie brilliant blue staining was used for protein quantification, and the morphology of the exosomes extracted by both methods was visualized by transmission electron microscopy.

[Treatment of an infant with severe neonatal hypoxic-ischemic encephalopathy sequelae with transplantation of human neural stem cells into cerebral ventricle].

Objective: Severe newborn hypoxic-ischemic encephalopathy (HIE) has a very high rate of disability and no effective treatment is available. The present study aimed to preliminarily evaluate the effects of human neural stem cell transplantation in treatment of severe neonatal HIE.

Methods: The patient was a 75-day old male infant with sequelae of severe HIE who had highly delayed development of intelligence and movement and myotonia.

[Transplantation of human fetal neural stem cells into cerebral ventricle of the neonatal rat following hypoxic-ischemic injury: survival, migration and differentiation].

Objective: Neonatal hypoxic-ischemic encephalopathy (HIE) harms the lives and health of newborn infants and children severely. Given the absence of effective therapies for HIE, it is important to derive new strategies. Neural stem cells (NSCs) have great potential as a therapeutic tool for the repair of a number of central nervous system disorders that involve cell loss.