AIMC Topic: Big Data

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Deus Ex Machina? The Rise of Artificial Intelligence in Toxicology.

Chemical research in toxicology Mar 20, 2024
Artificial intelligence (AI) is rising rapidly, driven by big data, complex algorithms, and computing resources. Current research presented at the American Chemical Society Fall 2023 Meeting demonstrates AI to be a valuable predictive and supporting ...
Big Data Artificial Intelligence Algorithms
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The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting.

Health economics Mar 10, 2024
Doula services represent an underutilized maternal and child health intervention with the potential to improve outcomes through the provision of physical, emotional, and informational support. However, there is limited evidence of the infant health e...
Cost-Benefit Analysis Infant Health Infant Big Data Doulas Humans Machine Learning Female Infant, Newborn Adult
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An Intelligent Early Warning System for Harmful Algal Blooms: Harnessing the Power of Big Data and Deep Learning.

Environmental science & technology Mar 4, 2024
Harmful algal blooms (HABs) pose a significant ecological threat and economic detriment to freshwater environments. In order to develop an intelligent early warning system for HABs, big data and deep learning models were harnessed in this study. Data...
Deep Learning Big Data Lakes Environmental Monitoring Harmful Algal Bloom
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Transforming Big Data into AI-ready data for nutrition and obesity research.

Obesity (Silver Spring, Md.) Mar 1, 2024
OBJECTIVE: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), h...
Biomedical Research Big Data Machine Learning Software Accelerometry Nutritional Sciences Metabolomics Humans Obesity Artificial Intelligence
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Drug discovery and development: the role of artificial intelligence in drug repurposing.

Future medicinal chemistry Mar 1, 2024
Big Data Drug Repositioning Artificial Intelligence Drug Discovery
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Perspectives on Big Data and Big Data Analytics in Healthcare.

Perspectives in health information management Mar 1, 2024
Big data (BD) is of high interest for research and practice purposes because it has the potential to provide insights into the population served and healthcare practices. Much progress has been made in collecting BD and creating tools for big data an...
Qualitative Research Humans Interviews as Topic Artificial Intelligence Big Data Delivery of Health Care Data Science
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Preserving privacy in big data research: the role of federated learning in spine surgery.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 25, 2024
PURPOSE: Integrating machine learning models into electronic medical record systems can greatly enhance decision-making, patient outcomes, and value-based care in healthcare systems. Challenges related to data accessibility, privacy, and sharing can ...
Orthopedic Procedures Spine Privacy Electronic Health Records Humans Big Data Machine Learning
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Graph Neural Network contextual embedding for Deep Learning on tabular data.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2024
All industries are trying to leverage Artificial Intelligence (AI) based on their existing big data which is available in so called tabular form, where each record is composed of a number of heterogeneous continuous and categorical columns also known...
Artificial Intelligence Deep Learning Humans Neural Networks, Computer Big Data Benchmarking
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Advances in Machine Learning Processing of Big Data from Disease Diagnosis Sensors.

ACS sensors Feb 16, 2024
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical task in the fields of chemistry, biology, and medicine. The complexity of biological systems and the explosive growth of biomarker data have driven machine lear...
Artificial Intelligence Machine Learning Algorithms Big Data Data Mining
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Revolutionizing Synthetic Antibody Design: Harnessing Artificial Intelligence and Deep Sequencing Big Data for Unprecedented Advances.

Molecular biotechnology Feb 3, 2024
Synthetic antibodies (Abs) represent a category of engineered proteins meticulously crafted to replicate the functions of their natural counterparts. Such Abs are generated in vitro, enabling advanced molecular alterations associated with antigen rec...
Big Data Antibodies High-Throughput Nucleotide Sequencing Humans Protein Engineering Artificial Intelligence
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