An overview of key researchers and industry leaders in the US applying generative AI models to pharmaceutical R&D, drug discovery, and biomarker research.

Examines the top 10 programming languages by usage and popularity in the context of AI-assisted coding, analyzing AI tool support and ecosystem maturity.

An analysis of the core technologies and design philosophies of Wolfram Alpha (symbolic AI) and ChatGPT (generative AI), detailing their key differences.

An overview of AI applications in the pharmaceutical sector, from generative AI to ML. Explains key IT management challenges like data, compliance, and security.

Explore how generative AI is applied in mRNA vaccine development, using Moderna and Pfizer's COVID-19 vaccine as a case study to understand rapid immunization advancements.

Explore ChatGPT as a Generative AI and Large Language Model. Learn its core GPT architecture, Transformer backbone, and how it processes language.

This guide details a structured approach for Generative AI adoption in life sciences, covering strategy, governance, technology, training, and ethical considerations.

This article lists 10 free generative AI courses for pharmaceutical professionals. Learn LLMs, prompt engineering, and AI applications in drug R&D.

A comprehensive exploration of generative AI proof of concepts in pharmaceutical research, examining real-world applications, implementation strategies, and measurable outcomes across the drug development pipeline.

A comprehensive analysis of how pharmaceutical and biotech companies are leveraging NVIDIA's latest H100 and Blackwell GPUs to accelerate drug discovery, protein structure prediction, and AI-driven research, with detailed case studies from leading companies.