Integrating Animals, Assays, and Therapeutics to Simplify In Vivo Study Management
Dotmatics and RockStep have partnered to offer an integrated electronic platform that streamlines in vivo study management, registration, and assay data, enabling real-time monitoring and improved drug discovery efficiency, as demonstrated by a webinar comparing traditional methods with digitalized workflows where a digitally equipped company outperforms a traditional one in developing an IBD drug faster and more cost-effectively.
RockStep Guest Blog
Dotmatics and RockStep have partnered to provide a comprehensive electronic platform that includes in vivo study management, registration, and assay data management. Both systems have comprehensive dashboards that smoothly integrate, allowing users to monitor their studies in real time.
In a joint webinar, Julie Morrison and Steve Manning explain how the digitalized lab of the future integrates all aspects of the drug discovery pipeline to bring therapeutics to market faster.
No time to watch? Keep reading for a quick recap.
The current methods used to manage in vivo studies are no longer effective, and return on investment for drug discovery R&D has been steadily decreasing. Digitalizing drug discovery allows integration across departments and time zones, enabling researchers to explore and search data upstream and downstream with visibility into operations and chain of custody.
Using two fictional companies as examples, Julie and Steve compare how each company would handle setbacks during the race to discover an IBD drug to treat Crohn’s Disease.
Hydra Biosciences uses the traditional methods of in vivo study management: physical notes, calendars, and spreadsheets. They are hesitant to adopt a drug discovery management suite, thinking it will take a lot of time and resources. They already get drugs to market just fine with their current methods, so why change?
Remnant Labs has already implemented a comprehensive digital platform like Climb/Dotmatics.
When issues such as looking up historical data, contamination, and major disaster strike, Remnant is able to utilize their data storage and management solution to quickly overcome these problems and move forward with their research. Hydra is stuck repeating work, wasting time and resources.
Remnant wins the drug discovery race! They get to market first, spending significantly less time and resources on developing the drug, and the increased time in market makes them more profit.
Hydra, realizing they are behind the curve and need to adopt digitalization if they want to stay competitive, start the process of onboarding their own drug discovery platform. It turns out digitalization is easier than they think!
Steps to Digitalization
Digitalizing your lab with a cloud-based solution keeps your data safer and more easily accessible on demand. It also allows you to manage studies, scheduling, personnel, and resources more effectively.
-
Needs analysis
Every lab is different and figuring out your specific needs is crucial to getting a solution that works for you.
-
Set-up
To get the most out of your solution there will be some set-up of protocols, procedures, resources, and vocabularies. This upfront work ensures data harmonization across the entire lab, enhances efficiency, and allows for reproducibility.
-
Data imports
Data import functionality and tools make this a lot easier than many customers originally anticipate.
-
Training
Like with any new program, there’s always going to be some training needed to get the most out of the platform. Experts provide dedicated training sessions to walk your teams through implementation and are available for any questions that arise both during training and afterwards.
Related
The Rise of Biotech: Why Smaller Companies Are Outpacing Big Pharma on Innovation
Smaller biotech companies are increasingly outpacing big pharmaceutical firms in new molecular entity approvals due to their greater agility, willingness to take risks, and freedom to innovate despite funding challenges, with over half of upcoming blockbuster drug launches expected from first-time launchers who face higher risks but also potential for significant success.
Simplify your laboratory workflow management with Dotmatics
Dotmatics offers a unified scientific R&D platform that streamlines laboratory workflow management by integrating various scientific applications, automating data extraction, cleaning, and harmonization into FAIR formats, thereby reducing manual data handling, enhancing collaboration, and accelerating the R&D cycle to help life sciences organizations bring new therapies to market faster.
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.
Harnessing Data and AI for Scientific R&D
The article explains that successful AI-driven life sciences R&D in 2025 hinges on trusted, well-governed, multimodal data integrated into automated, workflow-embedded AI tools, requiring collaboration between data and scientific intelligence—as exemplified by Dotmatics and Databricks’ partnership enabling low-code scientific apps and flexible workflows to overcome data silos and improve data quality, consistency, and usability for accelerated research.
Data Management, Collaboration, and Workflow Optimisation: The Three Keys to Small Molecule Discovery Success
The article emphasizes that despite biologics' prominence, small molecule drug discovery is experiencing a renaissance driven by advances in screening, target exploration, and AI, but overcoming challenges like rising costs, data management, fragmented workflows, and CRO reliance requires success in three key areas: next-generation data management, enhanced cross-disciplinary research collaboration, and workflow optimization.
Limitations of Existing Life Science Software—and the Opportunity to Evolve
Existing life science software tools like ELNs, LIMS, and SDMS, while essential for digitizing workflows and managing data, are limited by their siloed, non-real-time, and non-AI-integrated designs, presenting an opportunity to evolve by integrating them into unified, intelligent platforms—such as Dotmatics Luma—that enable connected, workflow-aware, multimodal scientific intelligence with adaptive workflows, real-time data flow, and cross-functional insights without replacing core systems.