Pharmaceutical

• On-Demand Webinar Modern Six Sigma | On-Demand SeriesIn this 3-part on-demand webinar series, you will gain practical tips to streamline the DMAIC (Define, Measure, Analyze, Improve, Control) process with JMP.
• 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.
• On-Demand Webinar Enhanced Prediction and Design Space Profilers in JMP 18
• On-Demand Webinar How to Deal with Complex Data Like a PRO
• On-Demand Webinar How to be a machine learning strategist: Torch Add-in for Deep Learning in JMP Pro 18
• On-Demand Webinar Building an Automated Quality and Process Engineering Workflow
• Interview PharmaronAn interview with Amy Hawksworth, Senior Manager of Downstream Process Sciences
• On-Demand Webinar Tame Your Data | On-Demand SeriesIn this 3-part on-demand webinar series, you will gain practical tips to streamline your data cleaning process and unlock the true potential of your information.
• On-Demand Webinar Creating Visual Masterpiece from Data
• On-Demand Webinar Robust Strategy in Statistical Process Control Chart
• 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.
• On-Demand Webinar Data Driven Decisions for Smarter Manufacturing
• Partnership BASF + KU LeuvenHow BASF identified a gap in engineering education, then designed a course to fill it with KU Leuven.
• On-Demand Webinar Data Cleaning Made Easy | Webinar On DemandData Cleaning was voted as the #1 pain in the data analysis process. Cleaning and organizing data is the least enjoyable part of data scientists and engineers.
• On-Demand Webinar From Data to Insights: Building an End-to-End Analytic Workflow Within Your OrganizationAnybody who's doing data analysis has a shared objective. We’re trying to take raw information and data and turn that into a shareable insight or an actionable insight.
• 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.
• 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
• Customer Story RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
• Customer Story AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
• Customer Story F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
• Customer Story LonzaA customized design of experiments approach optimizes yield in bioreactors.
• 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 The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
• 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.
• Statistically Speaking Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
• 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.
• Customer Story JanssenScientists build a tool to better detect and evaluate potential adverse effects in the R&D process.
• Customer Story AB VistaAB Vista sees sustainable agriculture and peer-reviewed science as central to its mission.
• 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 IpsenBiologists investigate biomarkers critical to the development of new cancer therapeutics.
• 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 Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
• Customer Story CEA GrenobleResearchers save time on analysis, communication and technology transfer.
• 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 ElancoAnalytics, visualization help Elanco clients produce more robust chickens.
• Customer Story PerrigoPerrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing
• Customer Story Tillotts PharmaAnalysts at Tillotts Pharma AG rely on JMP statistical discovery software from SAS to explore drug stability data.
• Customer Story Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
• Customer Story GlaxoSmithKlineScientists and engineers improve production processes.
• Abstract Cerba ResearchAutomating assays for use in clinical trials.
• Abstract VelaLabsUsing JMP to automate pharmaceutical calculations.
• 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 CelltrionQuality by Design advances safety, affordability and regulatory accountability.
• Customer Story MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
• 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 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 Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
• 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 Johnson Matthey BiocatalystsA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
• Customer Story MedytoxA Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality.’