Skip to content

Author

Pranay Wal

We have 6 of 316 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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
Sep 2026

Molecular Engineering of Metallic Nanoparticle Using Natural Flavonoids: From Synthesis to Biological Evaluation.

INTRODUCTION Parkinson's disease (PD) is a progressive neurodegenerative disorder driven by oxidative stress, neuroinflammation, and mitochondrial dysfunction. Although flavonoids such as luteolin and fisetin exhibit strong antioxidant and neuroprotective properties, their therapeutic utility is limited by poor solubil...

Namra Aziz, Gagandeep Singh Basra, A. Wal 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

Advancing Pharmacovigilance: AI and Deep Learning Approaches to Detect Adverse Drug Reactions from Big Data

The results indicate the potential for substantial improvements in current pharmacovigilance systems through the use of AI-based models that can identify latent relationships and deliver safety alerts in near-real time.

C. R. Darwin, Meruva Sathish Kumar, S. Marakatham 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

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.