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Defining the path to TBK1 inhibition with QSAR modeling
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.
Buscadores científicos: por qué diseñarlos requiere arte más ciencia
Revelar la funcionalidad del motor de búsqueda que equilibra la amplitud y la precisión para una investigación científica efectiva.
Emerging trends in global biothreat detection
Learn how emerging trends in AI are impacting CBRNE threat detection and mitigation.
Predicting and countering chemical threats: The strategic role of data-driven technologies
Data-driven technologies play a pivotal role in swift analysis and quick response to chemical threats.
Embracing the future of AI in the food industry
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’s emerging role in natural product drug discovery
AI is redefining natural product drug discovery by unlocking diverse candidates from plants, microbes, and more.
Reducing waste through digital transformation
Learn how digital transformation is reducing waste and creating new revenue streams for companies as they repurpose waste byproducts.
Making pharmaceutical formulation data discoverable
Pharmaceutical manufacturers are investigating ways to cultivate insights from dark formulations data, turning once-hidden knowledge into drug discoveries.
R&D Trends: Maximizing dark data to enhance drug repurposing
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 transformation in the chemical industry: Steps to a sustainable future
Digital initiatives are transforming the chemical industry, allowing for faster innovation and a sustainable future.
Pharma data management: Revealing breakthroughs that lie in darkness
Strategies to unlock dark data in the pharmaceutical industry. Reveal data insights and accelerate innovation through digitization and knowledge management.
Digital transformation in pharma: Improving R&D through digital solutions
Digital initiatives are transforming the pharmaceutical industry, allowing for faster drug development and expanded treatment options.
Unlocking the power of dark data in chemistry R&D: Strategies for success
What is dark data, and how can it be used to unlock data insights and accelerate innovation for R&D?
Predictive chemical deformulation flips the formulation challenge
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.
Dark data in R&D: How knowledge management can uncover hidden value
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.
The rise of AI drug development technology
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.
Predicting new chemistry: Impact of high-quality training data on prediction of reaction outcomes
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.
Addressing sustainability of the global patent system: the role of AI in enhancing productivity
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.
Exploring machine learning in chemistry: trends and opportunities
Learn about the growth and barriers of artificial intelligence (AI) and learning algorithms within the field of chemistry.
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