AI-Driven Physical Rehabilitation Strategies in Post-Cancer Care

Al-Akayleh, Faisal; Al-Remawi, Mayyas; Ali Agha, Ahmed S.A.

doi:10.1109/iccr61006.2024.10532883

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2024

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Cited by 4 publications

References 40 publications

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Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Al-Remawi,

Ali Agha,

Al-Akayleh

et al. 2024

Heliyon

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Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Al-Remawi,

Ali Agha,

Al-Akayleh

et al. 2024

Heliyon

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Real-Time Prediction of Patient Recovery Time using AI-driven Optimization Techniques in Healthcare

Sharma,

Mathurkar

et al. 2024

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)

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Recent Advances in Ocular Drug Delivery: Insights into Lyotropic Liquid Crystals

Adwan,

Qasmieh,

Al-Akayleh

et al. 2024

Pharmaceuticals

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Background/Objectives: This review examines the evolution of lyotropic liquid crystals (LLCs) in ocular drug delivery, focusing on their ability to address the challenges associated with traditional ophthalmic formulations. This study aims to underscore the enhanced bioavailability, prolonged retention, and controlled release properties of LLCs that significantly improve therapeutic outcomes. Methods: This review synthesizes data from various studies on both bulk-forming LLCs and liquid crystal nanoparticles (LCNPs). It also considers advanced analytical techniques, including the use of machine learning and AI-driven predictive modeling, to forecast the phase behavior and molecular structuring of LLC systems. Emerging technologies in biosensing and real-time diagnostics are discussed to illustrate the broader applicability of LLCs in ocular health. Results: LLCs are identified as pivotal in promoting targeted drug delivery across different regions of the eye, with specific emphasis on the tailored optimization of LCNPs. This review highlights principal categories of LLCs used in ocular applications, each facilitating unique interactions with physiological systems to enhance drug efficacy and safety. Additionally, novel applications in biosensing demonstrate LLCs’ capacity to improve diagnostic processes. Conclusions: Lyotropic liquid crystals offer transformative potential in ocular drug delivery by overcoming significant limitations of conventional delivery methods. The integration of predictive technologies and biosensing applications further enriches the utility of LLCs, indicating a promising future for their use in clinical settings. This review points to continued advancements and encourages further research in LLC technology to maximize its therapeutic benefits.

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AI-Driven Physical Rehabilitation Strategies in Post-Cancer Care

Cited by 4 publications

References 40 publications

Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Real-Time Prediction of Patient Recovery Time using AI-driven Optimization Techniques in Healthcare

Recent Advances in Ocular Drug Delivery: Insights into Lyotropic Liquid Crystals

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