The Chinese national college students' life science competition has been held for three times, with good organization, large scale and high participation degree. The competition plays an important role in promoting life science education and research. This paper reports the form and status of the competition, statistically analyses the registration data and competition results by region and year, based on the previous three competitions. By combining new changes and understanding in the field of life science, we also indicate prospects on how to better promote the competition.
Biological Science Disciplines ; Data Analysis ; Humans ; Students

Large cohort study gained its popularity in biomedical research and demonstrated its application in exploring disease etiology and pathogenesis, improving the prognosis of disease, as well as reducing the burden of diseases. Data science is an interdisciplinary field that uses scientific methods from computer science and statistics to extract insights or knowledge from data in a specific domain. The results from the combination of the two would provide new evidence for developing the strategies and measures on disease prevention and control. This review included a brief introduction of data science, descriptions on characteristics of large cohort data according to the development of the study design, and application of data science at each stage of a large cohort study, as well as prospected the application of data science in the future large cohort studies.
Cohort Studies ; Data Science ; Interdisciplinary Studies

Advancements in high-throughput sequencing have yielded vast amounts of genomic data, which are studied using genome-wide association study (GWAS)/phenome-wide association study (PheWAS) methods to identify associations between the genotype and phenotype. The associated findings have contributed to pharmacogenomics and improved clinical decision support at the point of care in many healthcare systems. However, the accumulation of genomic data from sequencing and clinical data from electronic health records (EHRs) poses significant challenges for data scientists. Following the rise of artificial intelligence (AI) technology such as machine learning and deep learning, an increasing number of GWAS/PheWAS studies have successfully leveraged this technology to overcome the aforementioned challenges. In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. Additionally, we highlight a few emerging AI technologies, such as transfer learning and multi-view learning, which will or have started to benefit genomic studies.
Artificial Intelligence ; Data Science ; Genome-Wide Association Study ; Genomics ; Technology

Bibliometrics ; Biochemistry ; Biotechnology ; China ; Journal Impact Factor ; Periodicals as Topic ; statistics & numerical data ; Science

Acupuncture related articles published in periodicals in Science Citation Index (SCI) in 2008 were summarized and analyzed. About 583 articles were collected using "acupuncture" and "in 2008" as keywords in the Web of Science data base by information retrieval. These papers were summarized and analyzed from various aspects of country, language, subject category, literature type, publication sources, impact factor, research method, acupoints, disease category and needling methods by using Excel software combined with manual sorting of the literature, the aim is to provide a reference for domestic acupuncture research.
Acupuncture Therapy ; statistics & numerical data ; Bibliometrics ; Journal Impact Factor ; Periodicals as Topic ; statistics & numerical data ; Randomized Controlled Trials as Topic ; Science ; statistics & numerical data

This study examined ways of promoting research in the medical sciences by evaluating trends in research funding, and the present status of research funding by the Korea Science and Engineering Foundation (KOSEF). This study analyzed statistics from KOSEF from 1978 to 2003 to examine support for research. In medical science field, group-based programs receive more funding than do individual-based programs. The proportion of research funds allocated to the medical sciences has increased markedly each year. Researchers in the medical sciences have submitted more articles to Science Citation Index (SCI) journals than to non-SCI journals, relative to other fields. Researchers supported by the Mission-Oriented Basic Grants program have published the majority of these papers, followed by those supported by the Programs for Leading Scientists, Regional Scientists, Leading Women Scientists, Young Scientists, and Promising Women Scientists, in that order. Funding by KOSEF reflects many decades of government support for research and development, the development and maintenance of necessary infrastructure, and the education and training of medical scientists.
Biomedical Research/*economics ; Foundations/*economics/statistics & numerical data ; Humans ; Korea ; Research Support/*economics/trends ; Research Support, Non-U.S. Gov't ; Science