Vol. 6 — 2022

Edinburgh Journal of Natural Language Processing and AI

We are pleased to present the latest volume of the Edinburgh Journal of Natural Language Processing and AI (EJNLPAI). This issue highlights the latest developments in NLP, machine translation, and intelligent language systems. With contributions from global scholars, this edition bridges theoretical discourse and practical innovation in computational linguistics, deep learning for language understanding, and AI-driven human-computer interaction. EJNLPAI remains committed to fostering interdisciplinary research that reflects the evolving intersection of AI and human language. Each article published herein contributes to redefining how machines process, understand, and generate human language.

Articles

4 papers
01

AI-Enhanced Computational Approaches for Optimizing Clinical Trial Design: Leveraging Machine Learning for Patient Recruitment, Trial Monitoring, and Outcome Prediction

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PP. 1-37
02

AI-Enhanced Drug Safety Monitoring Systems: Developing Machine Learning Models for Real-Time Risk Assessment, Signal Detection, and Pharmacovigilance in Pharmaceutical Industry

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PP. 38-78
03

AI-Enhanced Fault Detection and Diagnosis in Manufacturing Systems: Developing Machine Learning Models for Early Detection of Equipment Failures and Root Cause Analysis

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PP. 79-127
04

Developing AI-Based Real-Time Genomic Data Analysis Pipelines for Precision Medicine: Leveraging Machine Learning for Variant Calling, Functional Annotation, and Clinical Reporting

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PP. 128-169