Digital R&D

Data integrity and harmonization provide ensemble models, large language models (LLMs), and other types of AI systems with correct and consistent data for use in scientific research.

Scientific R&D teams face real barriers to AI adoption. Learn how structured data, expert collaboration, and the Triangle of Success framework drive meaningful AI maturity.

AI-powered solutions hold so much potential for faster scientific innovation, but there are key milestones organizations must achieve before they can move beyond the pilot phase. These five markers are the cornerstones of AI readiness.

The ability of AI-powered computer vision to analyze visual datasets means faster innovation in any field that uses imagery — which is to say, every scientific field today.

Discover how ensemble models—the same AI technique behind movie recommendations—are transforming scientific research and prior art search.

What can an analysis of 310,000+ articles and patents tell us about the rise of AI for science? Learn about AI integration in scientific research, with guidance for researchers, institutions, and policymakers.

Find out how the evolution of AI-powered technology is opening new possibilities in scientific fields ranging from personalized medicine to petrochemicals.

Discover how human data harmonization empowers drug discovery by enhancing predictive models, reducing errors, and accelerating breakthroughs.

Discover how artificial intelligence in pharma can enhance drug repurposing by leveraging dark data, ensuring data diversity, and improving data quality.

Why are there no FDA approved TBK1 (TANK-binding kinase) inhibitors on the market, despite the key role it plays in the pathophysiology of many diseases.

How QSAR modeling and machine learning identify potential new drug compounds for kinase inhibitors

Combining advanced technologies with human curation identifies emerging trends in nanotechnology research.

Revealing the search engine functionality that balances breadth and precision for effective scientific research.

Learn how emerging trends in AI are impacting CBRNE threat detection and mitigation.

Data-driven technologies play a pivotal role in swift analysis and quick response to chemical threats.

Discover how AI in the food industry is transforming production, innovation, and sustainability. Learn how AI can help you create smarter and more efficient food solutions.

AI is redefining natural product drug discovery by unlocking diverse candidates from plants, microbes, and more.

Learn how digital transformation is reducing waste and creating new revenue streams for companies as they repurpose waste byproducts.

Pharmaceutical manufacturers are investigating ways to cultivate insights from dark formulations data, turning once-hidden knowledge into drug discoveries.

As the drug repurposing market grows, pharmaceutical manufacturers are investigating ways to cultivate insights from dark formulations data, turning once hidden insights into drug repurposing innovations.

Digital initiatives are transforming the chemical industry, allowing for faster innovation and a sustainable future.

Strategies to unlock dark data in the pharmaceutical industry. Reveal data insights and accelerate innovation through digitization and knowledge management.

Digital initiatives are transforming the pharmaceutical industry, allowing for faster drug development and expanded treatment options.

What is dark data, and how can it be used to unlock data insights and accelerate innovation for R&D?

Deformulation is the process of reverse-engineering the composition of known formulations. This publication shows the value of consistent and highly structured representations in predictive models.

Research and development teams amass huge quantities of complex data which, if exploited correctly, can be a useful information source to improve decision-making and drive innovation.

Drug development is rapidly changing, which requires pharma companies to pivot. This is where AI drug development comes in, applying new technology to tackle an old problem.

This whitepaper explores challenges and opportunities for worldwide patent offices as they seek to ensure sustainability and future growth. It focuses on the application of artificial intelligence-enabled workflow solutions to enhance productivity and patent quality.

Scientists at Bayer expand their understanding into new, useful chemistry by improving the predictive power of a synthesis planning model with scientist-curated reactions from CAS.

Learn about the growth and barriers of artificial intelligence (AI) and learning algorithms within the field of chemistry.