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Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Neurological disorders are a major global health concern that have a substantial impact on death rates and quality of life. accurately identifying a...
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CRISPR-GPT for agentic automation of gene-editing experiments
Performing effective gene-editing experiments requires a deep understanding of both the CRISPR technology and the biological system involved....
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Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review
This in-depth study looks into how artificial intelligence (AI) could be used to make formulation development easier in fluidized bed processes...
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Design of a Production Planning System in a Pharmaceutical Factory: Spreadsheet Model and Case Study
PurposeThis work focuses on developing a production planning tool for small- and medium-sized enterprises (SMEs) in pharmaceutical manufacturing to...
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Increasing Efficiency and Cost-Effectiveness by Automating the Authoring of the Development Safety Update Report
IntroductionA Development Safety Update Report (DSUR) is a comprehensive review of safety information collected during an annual reporting period for...
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Comprehensive review in continuous direct compression process
BackgroundContinuous direct compression (CDC) has attracted significant attention because it offers several advantages, including high equipment...
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Six-Sigma Model in Pharma Industry: Part – II
The essence of every medicinal product is quality. Future optimization of multifaceted drug delivery systems, pharmaceutical compounding, and its...
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Feasibility, acceptability and clinical outcomes of the BabyScreen+ genomic newborn screening study
Incorporating genomic sequencing into newborn screening will dramatically increase the number of detectable conditions but evidence is needed to...
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Recent trends and perspectives of artificial intelligence-based machine learning from discovery to manufacturing in biopharmaceutical industry
BackgroundMachine learning (ML) tools have become invaluable in potential drug candidate screening, formulation development, manufacturing, and...
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Model of images of structureless areas for the analysis of pigment patterns using artificial intelligence in oncodermatology
This study addresses the creation of a new model for structureless areas of pigmented skin neoplasms intended for use in hardware and software...
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Trial operation and refinement of an original automated system for planning and conducting experiments collecting and analyzing medical data
This article addresses the process of conducting pilot operation and refinement of our original automated system for planning and conducting...
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Future Directions for Quantitative Systems Pharmacology
In this chapter, we envision the future of Quantitative Systems Pharmacology (QSP) which integrates closely with emerging data and technologies...
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Systematic bibliometric and visualized analysis of global research trends, impact, emerging areas, and hotspots of artificial intelligence in personalized medicine
Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of medicine. An increasing amount of evidence supports...
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Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing—a Review
Industry 4.0 has started to transform the manufacturing industries by embracing digitalization, automation, and big data, aiming for interconnected...
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Social Integration of Artificial Intelligence: Functions, Automation Allocation Logic and Human-Autonomy Trust
Artificial intelligence (AI) is finding more uses in the human society resulting in a need to scrutinise the relationship between humans and AI....
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Packaging 4.0: Artificial Intelligence and Machine Learning Applications in the Food Packaging Industry
Purpose of ReviewArtificial intelligence (AI) and machine learning (ML) techniques are widely used in biomedical research, engineering research,...
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Computers in Pharmaceutical Analysis
Automation of analytical techniques becomes a necessity both in research and pharmaceuticals manufacturing especially when a large number of analyses...
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Closed loop automated drug infusion regulation based on optimal 2-DOF TID control approach for the mean arterial blood pressure
This work aims to design an optimal controller for regulating mean arterial blood pressure (MAP) during the cardiac cycle in surgical and...
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PmWebSpec: An Application to Create and Manage CDISC-Compliant Pharmacometric Analysis Dataset Specifications
A well-documented pharmacometric (PMx) analysis dataset specification ensures consistency in derivations of the variables, naming conventions,...
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Advances in artificial intelligence-based technologies for increasing the quality of medical products
Artificial intelligence (AI) is a technology that combines machine learning (ML) and deep learning. It has numerous usages in the domains of medicine...