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Articles (4)

Perspective

Published: 09 Jan 2025

Precision medicine for Autoimmunity: From CAAR-T Cells to AI-Driven CRISPR-based therapies, challenges and perspectives

Volume 2

This manuscript explores advancements in antigen-specific immunosuppression and the potential and challenges for gene-editing application in autoimmune diseases which are driven by autoantibodies (AAbs). Current approved treatments fail to reach long-lived plasma cells (LLPCs), which may continue secreting pathogenic AAbs after immunobiological courses in some autoimmune illnesses. New approaches, some tested in vitro and some already undergoing clinical trials, such as the chimeric autoantibody receptor (CAAR)-T cells, BiTEs, affinity matrices,..

Review Article

Published: 31 Dec 2024

Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks

Volume 1

The explosive growth of the Internet of Things (IoT) has significantly increased networked devices within distributed and heterogeneous networks. Due to these networks’ inherent vulnerabilities and diversity, the proliferation of IoT devices presents substantial security challenges. Traditional security solutions face challenges in keeping up with the constantly changing threats in dynamic situations. This article reviews the application of distributed Reinforcement Learning approaches to enhance IoT security in dispersed and heterogeneous..

Review Article

Published: 28 Nov 2024

Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach

Volume 1

Modern electrical systems rely heavily on sensors and relays for fault detection in three-phase transmission lines and distribution transformers. However, these devices often need more time complexity and are prone to false alarms (erroneous signals). The study was guided by the PRISMA guidelines and methodology. The study's objective was to compare the levels of accuracy of fault detection presented by different models studied between 2023 and 2024. The general objective..

Research Article

Published: 29 Jul 2024

Mirror, Mirror on the Wall: Automating Dental Smile Analysis with AI in Smart Mirrors

Volume 1

This paper presents a smart diagnostic framework for dental smile analysis. To accurately and efficiently identify esthetic issues from a single image of a smile, a convolutional neural network (CNN) was trained. To overcome the limitations of scarce data, a diffusion model was employed to generate dental smile images in addition to manually curated data. The CNN was trained and evaluated on three datasets: all real images, all generated images,..