Pharmaceutical

• On-Demand Webinar Mastering Analytical Development: Implementing DOE for the ICH Q14 Enhanced ApproachThis insightful webinar guides you through the enhanced approach described in the recently updated ICH Q14 guidance and then demonstrates the tools needed to implement design and analysis of DOE.
• Video Julia O'NeillStatistical expert Julia O'Neill shares lessons learned over the course of a career in the life sciences.
• Interview PharmaronAn interview with Amy Hawksworth, Senior Manager of Downstream Process Sciences
• On-Demand Webinar Tracking and Trending Metrics in the Pharma and Biotech IndustryIn this on-demand webinar, you'll learn how to use process monitoring to know when to react to variation and how to differentiate the signals from the noise.
• Article CDISC Enables Efficient Streamlining of Clinical Trial Safety EvaluationIn this paper we discuss clinical trial summary information and follow the flow of FDA New Drug Application (NDA) submissions, Clinical Reviews (CR) and Biosimilar Multi-disciplinary Evaluation and Review (BMER) to reveal how the various domains of SDTM and ADaM are used to assess drug safety.
• Video Rentschler BiopharmaA culture of data literacy encourages scientists to embrace digitalization.
• Time to Innovate Ingolstadt University of Applied Sciences: Maximizing the Value of Industrial Data through the Integration of Machine Learning and Data AnalyticsWatch this video and find guidance and stories about how to get started with Machine Learning techniques or effectively integrate them within existing programs that seek to make the most of your data and drive more value for your organization.
• Partnership BASF + KU LeuvenHow BASF identified a gap in engineering education, then designed a course to fill it with KU Leuven.
• Video Regeneron PharmaceuticalsJMP Live became a vehicle for enterprise analytics.
• Success Story NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
• Interview Eli LillyChao Richard Li on data literacy and DOE.
• Data Discovery for the Biotech Industry Quality Engineering Tools in Bio/PharmaIn this on-demand webinar, Jeff Upton showcases tools that are utilized for Statistical Process Control and Six Sigma workflows.
• Data Discovery for the Biotech Industry Design of Experiments for BioTech/Pharma ManufacturingIn this on-demand webinar, Jordan Hiller explains what Design of Experiments (DOE) is, and how to use it to improve processes and products.
• Data Discovery for the Biotech Industry Statistical Exploration for Research & DevelopmentIn this on-demand webinar, Jordan Hiller demonstrates how to visualize data and drill-down to gain insight quickly.
• Customer Story Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
• Statistically Speaking How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
• Success Story Imperial College LondonResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
• Time to Innovate Symrise: Mastering complex processes with Design of ExperimentsLearn how Symrise’s approach in Design of Experiments leads to understanding of complex processes and targeted formulation development
• Time to Innovate Anatune: Data analytics for analytical method developmentLearn how you can develop better methods faster using the synergy of automated sample preparation, chemometrics and design of experiments (DoE)
• Customer Story AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
• Customer Story LonzaA customized design of experiments approach optimizes yield in bioreactors.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Time to Innovate Synthace: Accelerating process development with automated Design of ExperimentsJoin us to learn how Synthace’s software platform, Antha, empowers scientists to automate Design of Experiments (DoE) for optimising bioprocesses
• Statistically Speaking Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
• e-Book Cautionary Tales in Designed ExperimentsThe beauty of DOE is about learning—from mistakes, from trying new things, and from working with others.. In this free e-book legendary author Dr. David Salsburg looks at the history of DOE and shares what to do (and what not to do) to successfully execute designed experiments.
• Technically Speaking Screening and Controlling Manufacturing Processes for Faster Process ImprovementLearn how to quickly focus your limited time and resources on the actions most likely to lead to meaningful process improvement.
• Customer Story KM BiologicsAn innovative in-house statistical literacy program goes beyond theory to teach practical data skills to scientists and engineers.
• Video Johnson MattheyBuilding organizational consensus around the tools of digital chemistry.
• Statistically Speaking Why quality improvement is imperative in the big data eraXaar, NNE and IT&M Stats increase efficiency and effectiveness with modern quality engineering
• Technically Speaking Predictive Modeling for Risk of DiseaseWalk through an example based on building predictive models for peripheral arterial disease risk using data from the National Health and Nutrition Examination Surveys.
• Article Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
• On-Demand Webinar Six Sigma Cheat Code | On-Demand SeriesThis is a three-part Six Sigma methodology series to help improve business processes by reducing defects and errors, minimizing variation, and increasing quality and efficiency.
• Article Design of Experiments (DOE) for Pharmaceutical Sciences, Biotechnology, and Medical Electronics - Bridging Innovation and PrecisionLearn how DOE is revolutionizing pharma, biotech and medical electronics engineering, making health care safer, more efficient, and more effective for all.
• Customer Story JanssenScientists build a tool to better detect and evaluate potential adverse effects in the R&D process.
• Customer Story Ferring Pharmaceuticals & NNEJMP Clinical enables Ferring to implement a custom centralized statistical monitoring program designed by consultancy NNE.
• Customer Story Stanford University School of MedicineResearcher uses JMP to explore associations between genetic markers.
• Customer Story Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
• Customer Story Pierre FabreJMP gives Pierre Fabre the tools to optimize its pharmaceutical and consumer health product lines.
• Customer Story London DNA FoundrySynthetic biologists improve experimentation with DOE and robotic automation.
• Customer Story Daewoong PharmaceuticalA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
• Customer Story Mario Negri Institute for Pharmacological ResearchEpidemiologist uses JMP to study aging, anemia, Alzheimer's and more.
• Customer Story Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
• Customer Story GlaxoSmithKlineScientists and engineers improve production processes.
• Customer Story Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
• Customer Story ArlendaArlenda uses JMP to help pharmaceutical companies establish more effective, less expensive development and manufacturing processes.
• Customer Story Roche UKA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
• Customer Story De Montfort UniversityIndustry experts partner with the university to provide instruction on QbD best practices.
• Customer Story AlmirallData scientists build a data management standard for medical monitoring and regulatory compliance.
• Customer Story Tillotts PharmaAnalysts at Tillotts Pharma AG rely on JMP statistical discovery software from SAS to explore drug stability data.
• Customer Story Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
• Customer Story Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
• Customer Story Fujifilm Diosynth BiotechnologiesScientists use the Functional Data Explorer platform in JMP Pro to develop a cost-effective means to advance process knowledge in less time.
• Customer Story CelltrionQuality by Design advances safety, affordability and regulatory accountability.
• Customer Story MedytoxA Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality.’
• Customer Story Roche SwitzerlandRoche provides biosensors that allow health care professionals to get bedside readings of the quality of a patient’s blood.
• Customer Story Johnson Matthey BiocatalystsA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
• Customer Story MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
• Customer Story Siemens HealthineersQuality engineers optimize manufacturing, testing and performance of an innovative blood-analysis system.
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• Customer Story IpsenBiologists investigate biomarkers critical to the development of new cancer therapeutics.
• Customer Story MenariniFormulation development technicians implement continuous improvement within the regulatory framework.
• Abstract VelaLabsUsing JMP to automate pharmaceutical calculations.
• Abstract Cerba ResearchAutomating assays for use in clinical trials.