AIMC Topic:
Models, Theoretical

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[The development of model of prognostication and minimization of risk of by-effects under combined application of agents for treatment of chronic cardiac deficiency using AI].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny May 10, 2025
The chronic cardiac deficiency continues to be one of the leading health care problems requiring innovative solutions. The article presents mathematical algorithm to evaluate drug interactions and targeted to minimize side effects and to optimize chr...
Drug Therapy, Combination Risk Assessment Algorithms Prognosis Drug-Related Side Effects and Adverse Reactions Humans Chronic Disease Heart Diseases Artificial Intelligence Models, Theoretical Drug Interactions
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Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.

Clinical and translational science Jan 1, 2025
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 in...
Artificial Intelligence Algorithms Humans Drug Development Drug Discovery Drug Industry Models, Theoretical
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Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils.

Global change biology Dec 1, 2024
The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data point...
Carbon Machine Learning Soil Models, Theoretical
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Emergence and Criticality in Spatiotemporal Synchronization: The Complementarity Model.

Artificial life Nov 5, 2024
This work concerns the long-term collective excitability properties and the statistical analysis of the critical events displayed by a recently introduced spatiotemporal many-body model, proposed as a new paradigm for Artificial Life. Numerical simul...
Models, Theoretical Neural Networks, Computer Computer Simulation
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A hybrid approach to improvement of watershed water quality modeling by coupling process-based and deep learning models.

Water environment research : a research publication of the Water Environment Federation Aug 1, 2024
Watershed water quality modeling to predict changing water quality is an essential tool for devising effective management strategies within watersheds. Process-based models (PBMs) are typically used to simulate water quality modeling. In watershed mo...
Models, Theoretical Environmental Monitoring Deep Learning Water Quality Rivers
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Mathematical Modeling and Characterization of a Wearable Soft Robotic Device for Muscle Mechanotherapy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Treatments of disuse-induced muscle atrophy entail unmet clinical needs due to the lack of medical devices capable of mimicking physicians manual therapies. Therefore, in this paper we develop and model a wearable soft pneumatic elastomeric actuator ...
Robotics Equipment Design Wearable Electronic Devices Models, Theoretical Muscular Atrophy Humans Computer Simulation
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Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.

Cancer research Jun 4, 2024
UNLABELLED: Standard-of-care treatment regimens have long been designed for maximal cell killing, yet these strategies often fail when applied to metastatic cancers due to the emergence of drug resistance. Adaptive treatment strategies have been deve...
Models, Theoretical Prostatic Neoplasms Male Deep Learning Humans Precision Medicine
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Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models.

Journal of the American Medical Informatics Association : JAMIA Apr 19, 2024
OBJECTIVES: Leveraging artificial intelligence (AI) in conjunction with electronic health records (EHRs) holds transformative potential to improve healthcare. However, addressing bias in AI, which risks worsening healthcare disparities, cannot be ove...
Algorithms Electronic Health Records Models, Theoretical Bias Humans Artificial Intelligence
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A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density residential areas.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2024
The study successfully implemented six low-impact development (LID) methods to manage surface runoff in urban areas: green roof, infiltration trench, bio retention cell, rain barrel, green roof combined with infiltration trench, and rain barrel combi...
Rain Water Movements Cities Iran Models, Theoretical Conservation of Natural Resources Fuzzy Logic
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Enhancing rainfall-runoff model accuracy with machine learning models by using soil water index to reflect runoff characteristics.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2024
The advancement of data-driven models contributes to the improvement of estimating rainfall-runoff models due to their advantages in terms of data requirements and high performance. However, data-driven models that rely solely on rainfall data have l...
Soil Water Models, Theoretical Environmental Monitoring Neural Networks, Computer Machine Learning Rain Water Movements
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