Human ; Abstracting And Indexing As Topic ; Health ; Research ; Science

Hospitals worldwide recognise the importance of data and digital transformation in healthcare. We traced a smart hospital's data-driven journey to build an artificial intelligence and digital ecosystem (AIDE) to achieve healthcare excellence. We measured the impact of data and digital transformation on patient care and hospital operations, identifying key success factors, challenges, and opportunities. The use of data analytics and data science, robotic process automation, AI, cloud computing, Medical Internet of Things and robotics were stand-out areas for a hospital's data-driven journey. In the future, the adoption of a robust AI governance framework, enterprise risk management system, AI assurance and AI literacy are critical for success. Hospitals must adopt a digital-ready, digital-first strategy to build a thriving healthcare system and innovate care for tomorrow.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Hospitals ; Cloud Computing ; Robotics ; Internet of Things ; Data Science

Periodontitis has emerged as one of the most critical oral diseases, and research on this condition holds great importance for the advancement of stomatology. As the most authoritative national scientific research funding institution in China, the National Natural Science Foundation of China (NSFC) has played a pivotal role in driving the progress of periodontal science by supporting research on periodontitis. This article provides a comprehensive review of the research and development progress related to periodontitis in China from 2014 to 2023, highlighting the significant contributions of the NSFC to this field. We have summarized the detailed funding information from the NSFC, including the number of applicant codes, funded programs and the distribution of funded scholars. These data illustrate the efforts of the NSFC in cultivating young scientists and building research groups to address key challenges in national scientific research. This study offers an overview of the current hot topics, recent breakthroughs and future research prospects related to periodontitis in China.
China ; Periodontitis ; Humans ; Foundations ; Research Support as Topic ; Natural Science Disciplines ; Dental Research/economics*

Innovation is an important way to promote economic development and social progress. Recent years have seen rapid development of biological sciences. In response to social demands and the needs for developing an innovative country, fostering innovative talents in the field of biosciences has become a significant initiative supported by national policies and the needs from talent market. Taking the innovative talent training mode implemented by Zhejiang Normal University in the field of biological sciences as an example, this paper comprehensively introduces several key aspects of the mode. This includes establishing a mentorship system as the foundation, carrying out curriculum reform through project competitions and practical platforms, and promoting synergy among industry, academia, and research in talent training. This training mode has achieved positive results in practice, promoting the training of outstanding innovative talents in biological science majors, and may facilitate the reform of talent training in similar majors.
Humans ; Biological Science Disciplines ; Industry ; Policy ; Universities

The emerging biomedical industry has an increasing demand for the professional talents and puts forward higher requirements for the quality, especially the innovation ability of the talents. Exploring a new model for fostering the innovation ability of postgraduates majoring in biological and medical sciences based on the principle of integrating production, education and research is of practical significance for improving the quality of professional talents and empowering the bio-economic development. Taking the training of innovation ability of postgraduates majoring in biological and medical sciences at Jiangnan University as an example, this paper introduced a new training system of "six integration and six optimizations". This system included ideological guidance, discipline system, training program, faculty, research innovation platform, and communication and cooperation. Satisfactory cultivation results were achieved with this new system. This paper is expected to provide reference for the training of innovative talents in the biological and medical industry.
Biological Science Disciplines/education* ; China ; Biomedical Research ; Humans ; Inventions

General education in biological courses such as "Principal Biology" is an essential avenue for gaining an understanding of life science and developing an interest in the field. The reform of biological education teaching mode based on interdisciplinary approaches aims to foster cross-disciplinary talents, which is crucial for the rapid development of China's bioeconomy. Teaching method that simply superimposes different subjects is difficult to discover the value of interdisciplinary education. To address this, a novel teaching system and an innovative teaching mode were proposed for "Principal Biology" course by integrating science and engineering subjects, based on the cross-disciplinary feature in Beijing Institute of Technology. The system involves the design of cross-disciplinary course content and the integration of multiple disciplines and knowledge points based on students' majors, taking into account the characteristics of students' physical and mental development. To improve students' scientific literacy and interdisciplinary thinking ability, differentiated and major-driven teaching modes were applied by incorporating the "1+N" mixed and immersive cross-thinking training. The effectiveness of tailored cross-disciplinary teaching was evaluated using "in-teaching" and "post-teaching" data feedback models, which promote the optimization of teaching process and enhance the quality of education in cross-disciplinary biological science.
Humans ; Students ; Curriculum ; Biological Science Disciplines/education* ; Universities ; Biology/education*

Multiomics ; Translational Science, Biomedical ; Computational Biology ; Heart ; Cardiovascular System

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

Implementation research is a discipline that attempts to promote the application of evidence-based interventions in different settings and populations by using various methods and measures. Implementation strategies are the central part of implementation research, and as the field of implementation science evolves, more and more implementation strategies have been developed to facilitate the application of evidence-based interventions in the real world. To help researchers better understand and apply implementation strategies, this study will introduce implementation strategies in three aspects: classification, selection and application, and report.
Humans ; Implementation Science

Objective To understand the current status of Chinese medical researchers' knowledge regarding the ethical norms of the research involving humans or laboratory animals,and provide reference for further improving the ethics review norms. Methods The questionnaire method was employed to survey the applicants for the 2019 projects supported by the Department of Medical Sciences,National Natural Science Foundation of China (NSFC) about their knowledge of ethical requirements.Furthermore,the ethical supervision of the NSFC and affiliations at the project application and implementation stages was analyzed. Results The survey showed that 29.9% medical researchers were familiar with NSFC's ethical requirements for research involving human or laboratory animals.During the project application stage,59.0% affiliations adopted the simplified review method.Regarding the ethical supervison,95.5% medical researchers believed that the affiliations should fulfill the ethical supervision obligations and take relevant measures during the project implementation period.In addition,55.0% medical researchers fully agreed to discuss with the review experts about the ethical issues involved in the project. Conclusions The NSFC should establish rules and regulations to improve institutional management responsibilities and institutionalize the training about research ethics to comprehensively strengthening the training.Taking the management of research project ethics as a starting point,the NSFC should form a multi-party linkage between project funding and management and establish an accountability mechanism for ethics management.Furthermore,the NSFC should double the endeavors at the review of ethical issues during expert review and process management and attach importance to the research,judgment,and prevention of ethical risks.
Humans ; Foundations ; Biomedical Research ; China ; Natural Science Disciplines