Ebooks & White Papers
The page offers a selection of downloadable white papers from industry experts covering topics such as lab integration, cloud-hosted solutions, intelligent R&D technology, drug discovery trends for 2025, chemical and material industry insights, multimodal R&D and AI in pharma innovation, flow cytometry data utilization, AI-driven pharmaceutical R&D, and adopting data-first scientific informatics platforms, with an option to request a customized demo tailored to R&D goals.
Browse our downloads featuring content from expert industry leaders.
White Papers (Page 1)
- Enabling the Lab-in-a-Loop: Unifying Science, Data, and Decision-Making to Drive Breakthroughs
- The Strategic Advantage of Cloud-Hosted Solutions Over Evergreen SaaS
- Beyond SDMS: Discover How Intelligent R&D Technology Unlocks Real ROI
- 3 Drug Discovery Trends We’re Watching in 2025
- The State of Chemicals and Materials Today
- The Rise of Multimodal R&D and AI in Driving Pharma Innovation
- Unlocking the Power of Your Flow Cytometry Data
- AI-Driven Pharma R&D
- Adopting a Data-First Scientific Informatics Platform
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Related
Addressing Inefficient R&D Workflows
The blog discusses how legacy, fragmented R&D systems hinder innovation in complex, multi-domain scientific research by creating silos and inefficiencies, and presents Dotmatics’ unifying platform as a comprehensive solution that integrates diverse tools, data, and teams to enable smarter collaboration, governed data use, and AI-driven automation for faster, more rigorous innovation.
Scripps News America Tonight
Phil Mounteney, VP of Science and Technology at Dotmatics, explains in Scripps News America Tonight how Dotmatics Luma uses AI to transform scientific research and pharmaceutical drug discovery by accelerating innovation, lowering costs, and shortening time-to-market for modern laboratories.
Our 11 Most-Read Blogs of 2023: AI, Biologics, ELNs, and More
Dotmatics' top blogs of 2023 highlight key scientific advancements including the convergence of small molecule and biologic drug development, the integration and comparison of LIMS and ELN systems for enhanced lab data management, and strategies to minimize human errors in biologics research through automation and calibration.
Data Evolution in Pharma: The Spread of Multimodal
The pharmaceutical industry is shifting from single-mode to multimodal drug discovery, incorporating diverse therapeutic modalities like biologics, gene therapies, and small molecules, but this evolution presents significant challenges in integrating heterogeneous R&D data and technologies, necessitating advanced, compatible platforms to enable efficient collaboration and leverage AI-driven insights for faster, cost-effective drug development.
3 Drug Discovery Trends We’re Watching in 2025
The ebook highlights three key drug discovery trends for 2025: the impactful use of AI in predictive modeling and data integration, the rise of multimodal discovery platforms like Geneious Luma that unify research across therapeutic modalities, and the Lab-in-a-Loop approach that leverages AI-driven integration of R&D and clinical data to accelerate and optimize drug development.
NBC Louisiana: How AI is Accelerating Drug Discovery
In an NBC Louisiana feature, Dotmatics’ VP Phil Mounteney explained how AI is revolutionizing drug discovery by significantly reducing development time from up to ten years to potentially half, enhancing efficiency in analyzing vast data sets while ensuring data privacy by keeping sensitive information secure and in-house.