The big-data era has arrived, which involves all professions and trades. Its impact on the medical field has gradually revealed. With the characteristics of big data "4V" (volume, velocity, variety, value) and its theory generality with TCM (holistic thinking, correlativity) as well as regularity of disease development, combined with present status of acupuncture clinical research, the influences of big-data era on trial design, data collection, analysis and sharing of acupuncture clinical research are discussed in this paper, aiming to provide references for solving the difficulties of study design and determining the future research direction of acupuncture clinical research.
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Clin Transl Sci
January 2025
Global Biometrics and Data Management, Pfizer Research and Development, New York, New York, USA.
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug-target interactions from big data, enabling more accurate predictions and novel hypothesis generation.
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Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
In the era of big data, advanced data processing devices and smart sensors greatly benefit us in many areas. As for each individual user, data sharing can be an essential part of the process of data collection and transmission. However, the issue of constant attacks on data privacy arouses huge concerns among the public.
View Article and Find Full Text PDFYi Chuan
January 2025
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430078, China.
It has been more than 40 years since the beginning of exploring the genetic composition of ancient organisms from the perspective of ancient DNA. In the recent 20 years, with the development and application of high-throughput sequencing technology platforms and the improved efficiency of retrieving highly fragmented DNA molecules, ancient DNA research moved forward to a brand-new era of deep-time paleogenomics. It not only solved many controversial phylogenetic problems, enriched the migration and evolution details of various organisms including humans, but also launched exploration of the molecular responses to climate changes in terms of "whole genomic-big data-multi-species" level.
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Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China.
The food flavor science, traditionally reliant on experimental methods, is now entering a promising era with the help of artificial intelligence (AI). By integrating existing technologies with AI, researchers can explore and develop new flavor substances in a digital environment, saving time and resources. More and more research will use AI and big data to enhance product flavor, improve product quality, meet consumer needs, and drive the industry toward a smarter and more sustainable future.
View Article and Find Full Text PDFJMIR Form Res
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Centre for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Background: With the development of artificial intelligence (AI), medicine has entered the era of intelligent medicine, and various aspects, such as medical education and talent cultivation, are also being redefined. The cultivation of clinical thinking abilities poses a formidable challenge even for seasoned clinical educators, as offline training modalities often fall short in bridging the divide between current practice and the desired ideal. Consequently, there arises an imperative need for the expeditious development of a web-based database, tailored to empower physicians in their quest to learn and hone their clinical reasoning skills.
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