Accelerating Pharmaceutical Research and Development through AI-Driven Drug Discovery
Sesha Bhargavi Velagaleti, Akriti Dogra, Alok Bhatt, Pallavi Ghildiyal, Radha Mahendran, Ranpreet Kaur · 2024
At the intersection of artificial intelligence and the pharmaceutical R&D sector, a new era in drug development has started. In this piece, we provide a thorough analysis of AI-driven drug development and discuss how it might revolutionize the R&D sector in the pharmaceutical business. This research approach, which includes data collection, model construction, and ethical considerations, has shown promising results. Artificial intelligence models have shown very high prediction accuracy, reducing costs and enhancing equity while speeding up the creation of new medications. These findings may improve patient outcomes and increase therapy accessibility. Future priorities will include therapeutic subspecialization, worldwide access initiatives, interpretability, regulatory compliance, data exchange, and multi-omics integration. AI and medications working together might result in a healthcare system that is more accessible to everyone and more effective.