Articles tagged with “drug-discovery”

Explore San Diego's biotech hub, a top 3 U.S. cluster. This guide covers key companies like Illumina, economic data, and the history of its life sciences indust

A technical overview of Claude Opus 4.5, a state-of-the-art AI model for coding. Learn its capabilities for software development in healthcare and pharma.

An analysis of Google's Gemini 3 AI for healthcare, pharma, and biotech. Learn about its multimodal reasoning, agentic features, and applications in drug discov

Learn why the drug development timeline averages 10-15 years. This guide details each stage from discovery and preclinical studies to all clinical trial phases

An in-depth analysis of the leaders in pharma digital transformation, examining the strategies of companies like AstraZeneca, Roche, and Pfizer with AI and clou

Learn how IBM Quantum is applied in pharmaceutical R&D. This guide covers molecular simulation, hybrid workflows, and key partnerships with firms like Moderna.

A guide to finding drugs in the clinical pipeline (Phase I-III). Learn to use key resources like ClinicalTrials.gov, regulatory databases, and commercial tracke

Explore our 2025 analysis of the top 25 pharmaceutical companies by AI patent filings. Learn who leads in AI R&D, key technology areas, and strategic trends.

Explore the top MCP servers for biotech. Learn how the Model Context Protocol connects AI agents and LLMs to critical databases for genomics and drug discovery.

Explore the exponential rise in AI compute demand in biotech. This 2025 report analyzes key statistics, infrastructure needs, and trends in drug discovery and g

An educational guide to HPC in life sciences. We review top lab IT specialists and solutions for genomics, drug discovery, and bioinformatics data analysis.

Learn what NVIDIA BioNeMo is and how it accelerates drug discovery. This guide explains its components, models, and deployment for generative AI in biopharma.

Explore the technical architecture of RLHF for drug discovery. Learn how reward models and policy optimization align generative AI with expert chemist feedback.

Learn the end-to-end drug development pipeline, from initial drug discovery and preclinical research to Phase I-IV clinical trials and final FDA approval.

Learn how to build robust LLM evaluation frameworks for biotech. This guide covers key metrics, biomedical benchmarks (BLUE, BLURB), and methods for ensuring ac

An analysis of leading software for molecular modeling and simulation. Learn about features, theoretical methods (MD, QM), performance, and use cases.

An in-depth technical comparison of five cheminformatics platforms, evaluating features like SAR/QSAR, ADMET prediction, and chemical library management.

Learn about the specialized software tools used across the drug development lifecycle, from discovery and preclinical research to manufacturing and commercialization.

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 key scientific journals and trade publications in the pharma and biotech industries, covering peer-review, access models, and target audience.

Review a list of global online degrees and certificates in AI for pharmaceutical science. Compare programs by level, curriculum, cost, and duration.

This article details AI applications in pharmaceutical business intelligence, covering drug discovery, clinical trials, supply chain, real-world evidence, and market intelligence.

Explore key software needs, technology stacks, and specific tools like AI-driven drug design and cheminformatics in pharmaceutical software development.

Learn why new drug development takes over a decade, discussing the high attrition rates, extensive research, and regulatory hurdles involved in bringing medicines to market.

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

How AI leaders like Amodei, Hassabis, and Huang are accelerating drug discovery, genomics, and life science breakthroughs—compressing decades into years.

A technical comparison of AI agents and AI workflows in pharmaceutical IT, with use cases, pros and cons, and adoption trends for U.S. pharma.

A detailed survey of large language model benchmarks in life sciences, covering biomedical NLP, drug discovery, and genomics, with industry use cases and top model performance.

An exploration of how artificial intelligence is revolutionizing drug development processes, from target identification to clinical trials, with focus on implementation strategies and success metrics.

A comprehensive guide to how Amazon Web Services (AWS) is transforming pharmaceutical operations from drug discovery to manufacturing, with real-world case studies from Pfizer, Moderna, Merck, and more.

Explore real-world case studies of how pharmaceutical companies are leveraging big data, AI, and cloud computing across the drug lifecycle - from discovery to marketing - with measurable outcomes and lessons learned.

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 Google Cloud Platform (GCP) is revolutionizing pharmaceutical operations, from AI-powered drug discovery to clinical trial management and regulatory compliance.

An in-depth analysis of IBM's contributions to pharmaceutical innovation, from AI-powered drug discovery and hybrid cloud infrastructure to regulatory compliance and security solutions.

An in-depth exploration of how pharmaceutical companies leverage Microsoft Azure's cloud platform for drug discovery, clinical trials, manufacturing, and regulatory compliance, with real-world case studies and implementation strategies.

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.

An in-depth analysis of the leading AI consulting firms serving U.S. pharmaceutical companies, highlighting their focus areas, technologies, and recent activities in drug discovery, compliance, efficiency, and commercial applications.

An in-depth exploration of how data science is revolutionizing the life sciences industry, from drug discovery to clinical trials, with real-world applications and case studies.

A comprehensive overview of the most influential open-source software tools transforming pharmaceutical research, development, and manufacturing, from cheminformatics to clinical data management and regulatory compliance.