Amin Gasmi

Applications of artificial intelligence in personalized nutrition interventions

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

INTRODUCTION/OBJECTIVE The progressive nature of dementia is represented by a reduction in two or more cognitive functions, including language, memory, executive and visuospatial functioning, personality, and behavior. Only symptoms can be alleviated by traditional medication therapies. A strategy that shows promise fo...

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...

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 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.

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.