Long-form guides, explainers, and operating playbooks on how AI is being applied across drug discovery, development, manufacturing, and the clinic — from the Allbio.AI team and the life sciences community.
Articles here are analysis, guides, and opinion written by community practitioners and the Allbio.AI team — how to think, decide, staff, buy, govern, or measure across workflows. A single workflow described end to end belongs in Use Cases. Vendor/service provider-authored articles and case studies about their own product or service are commercial content and live with that listing in Products & Services.
The 2026 Biotech AI Report draws on 100 organizations to show where AI boosts discovery, where barriers remain, and how teams are adapting talent and tools.
This article explains the 7-step credibility framework, context of use (COU), and risk-based approach.
Reviews AI/ML applications in biologics manufacturing, covering process monitoring, optimization and regulatory considerations.
ProteinMPNN designs protein sequences from backbone structures using deep learning, with computational and experimental validation.
A review of agentic AI architectures in drug discovery, showing how autonomous systems accelerate literature review, assay design, and self-driving lab workflows.
FDA discussion paper and request for feedback: Using Artificial Intelligence & Machine Learning in the Development of Drug & Biological Products (Rev. Feb. 2025)
An executive overview of Sanofi’s enterprise-wide AI deployment across R&D, clinical trial recruitment, digital twin biomanufacturing, and supply chain operations.
The ‘lab in a loop’ is a mechanism by which you bring generative AI to drug discovery and development.
Artificial intelligence (AI) is revolutionizing biotechnology by transforming the landscape of therapeutic development. Traditional drug discovery faces persistent challenges...
A list of several noteworthy companies enabled by AI platforms and relying on computational capabilities to speed up and possibly improve their therapeutics discovery work.
A comprehensive report analyzing how AI and machine learning are being applied across discovery, clinical development, and governance in pharma and biotech.
This review aims to examine how Artificial Intelligence (AI) is revolutionizing the biotechnology and pharmaceutical industries by transforming traditional drug development processes, enhancing precision medicine, and accelerating healthcare innovation.
What would you like a deeper guide on? We commission and co-author the most requested pieces.
