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Author

Amin Gasmi

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Review Oct 2026

AI-integrated Approaches in Alzheimer's Disease: Linking Molecular Pathways, Biomarkers, and Emerging Therapies.

OBJECTIVE Alzheimer's disease (AD) continues to be the leading cause of dementia worldwide, due to its complicated, multifactorial pathophysiology. To shift the AD paradigm from reactive to proactive, from a specific time to a precision medicine intervention strategy, this study examines the role of artificial intellig...

Namra Aziz, Kritika Sachan, Anuradha Singh et al. · 0 citations
Review

Applications of artificial intelligence in personalized nutrition interventions

AI-enabled personalized nutrition is progressing from proof of concept toward clinical translation, which will require multi-ethnic nutrition–omics cohorts, privacy-preserving multicenter collaboration, dietitian-led human–AI collaboration, and lifecycle safety governance for generative models.

Amin Gasmi, Man-Fai Leung, Rui Ma et al. · 0 citations
Review Sep 2026

Artificial Intelligence-Driven Gene Delivery Systems in Dementia: A Comprehensive Review of Mechanisms, Tools, and Therapeutic Strategies.

AI has proven to be very helpful in predicting therapeutic targets, optimizing gene vectors, and customizing dementia treatment plans, and it also makes gene-target prediction, nanocarrier optimization, and post-treatment monitoring easier.

A. Wal, M. Shukla, Pranay Wal et al. · 0 citations
Review Sep 2026

Harnessing the Power of Large Language Models for Drug Discovery: A Systematic Review of Current Applications and Future Directions.

INTRODUCTION The demand for inventive approaches to drug discovery has increased due to the rising costs, time, and failure rates in pharmaceutical research. Large Language Models (LLMs), with their sophisticated natural language processing and generative capabilities, have become potent instruments that have the poten...

Pranay Wal, M. Shukla, Kritika Sachan et al. · 0 citations
Review Aug 2026

Artificial Intelligence-Driven Diagnosis, Prediction, and Management of Polycystic Ovarian Disease (PCOD): A Comprehensive Systematic Review of Machine Learning, Deep Learning, and Emerging Technologies.

AI-based methods present enormous potential to revolutionise the diagnosis and management of PCOD by providing accurate, interpretable, and personalised care, and development of clinically interpretable models.

A. Wal, Mekala Moorthy, Rakesh Verma et al. · 0 citations
Review Jul 2026

A Survey Review of Computational Models and Their Applications in Predicting Drug-Drug Interactions

An overview of how artificial intelligence might serve not only as a tool but also as a strategic solution for safe prescribing and tailored pharmacotherapy, hence opening up new avenues for the field of drug safety science is presented.

D. Tripathi, A. Wal, Vivek Kumar Gupta et al. · 0 citations
Review Jul 2026

Nanocarrier-based Drug Delivery Targeting GPCRs: Challenges, Clinical Translation, and Future Prospects for Precision Medicine

Novel instruments, such as artificial intelligence, molecular modelling, and systems pharmacology, may further aid the optimisation of ligand selection, carrier design, and personalised therapeutic development in GPCR-targeted therapeutic treatments.

Pranay Wal, Jyotsana Dwivedi, K. Khairunnisa et al. · 0 citations

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