AIMC Topic: Big Data

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Artificial intelligence for small molecule anticancer drug discovery.

Expert opinion on drug discovery Jun 18, 2024
INTRODUCTION: The transition from conventional cytotoxic chemotherapy to targeted cancer therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This approach, which now dominates cancer treatment, has its advantages. Despite th...
Animals Neoplasms Drug Discovery Artificial Intelligence Machine Learning Drug Development Drug Resistance, Neoplasm Molecular Targeted Therapy Deep Learning Big Data Antineoplastic Agents Humans
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Big data and deep learning for RNA biology.

Experimental & molecular medicine Jun 14, 2024
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL studies in other fields, the successful implementation of DL in RB depe...
Animals Deep Learning Computational Biology Humans RNA Big Data Algorithms
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Deep Siamese domain adaptation convolutional neural network-based quaternion fractional order Meixner moments fostered big data analytical method for enhancing cloud data security.

Network (Bristol, England) Jun 11, 2024
In this paper, Quaternion Fractional Order Meixner Moments-based Deep Siamese Domain Adaptation Convolutional Neural Network-based Big Data Analytical Technique is proposed for improving Cloud Data Security (DSDA-CNN-QFOMM-BD-CDS). The proposed metho...
Big Data Neural Networks, Computer Computer Security Convolutional Neural Networks Humans Cloud Computing
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Machine learning in infectious diseases: potential applications and limitations.

Annals of medicine Jun 10, 2024
Infectious diseases are a major threat for human and animal health worldwide. Artificial Intelligence (AI) combined algorithms including Machine Learning and Big Data analytics have emerged as a potential solution to analyse diverse datasets and face...
Precision Medicine Drug Discovery Big Data Artificial Intelligence Algorithms Machine Learning Communicable Diseases Humans
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A big data scheme for heart disease classification in map reduce using jellyfish search flow regime optimization enabled Spinalnet.

Pacing and clinical electrophysiology : PACE May 15, 2024
BACKGROUND: The disease related to the heart is serious and can lead to death. Precise heart disease prediction is imperative for the effective treatment of cardiac patients. This can be attained by machine learning (ML) techniques using healthcare d...
Humans Big Data Electrocardiography Heart Diseases Machine Learning Algorithms
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Twenty-four-hour physical activity patterns associated with depressive symptoms: a cross-sectional study using big data-machine learning approach.

BMC public health May 7, 2024
BACKGROUND: Depression is a global burden with profound personal and economic consequences. Previous studies have reported that the amount of physical activity is associated with depression. However, the relationship between the temporal patterns of ...
Time Factors Nutrition Surveys Accelerometry United States Machine Learning Exercise Female Depression Humans Male Big Data Adult Middle Aged Cross-Sectional Studies Aged
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[Data-driven intensive care: a lack of comprehensive datasets].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Critical Care Datasets as Topic Computer Security Germany Big Data Humans Europe Databases, Factual Machine Learning Confidentiality Intensive Care Units
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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...
Female Infant, Newborn Infant Big Data Adult Humans Machine Learning Cost-Benefit Analysis Infant Health Doulas
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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...
Lakes Deep Learning Harmful Algal Bloom Big Data Environmental Monitoring
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