Pharmaceutical

• Article Genomic Analysis with JMP ProJMP Pro includes many enhancements to efficiently handle large wide tables with hundreds of thousands of columns and thousands of rows, making it the perfect tool for genomic analysis. Learn more with e-book from JMP Support.
• Video Regeneron PharmaceuticalsJMP Live became a vehicle for enterprise analytics.
• On-Demand Webinar Regeneron PharmaceuticalsIn this presentation, Diana Nadler, Manager of Continuous Improvement Statistics, discusses enterprise analytics at Regeneron Pharmaceuticals.
• 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.
• 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 Dr Reddy’s: How to make analytical methods fit-for-purposeLearn about advances in developing scientific analytical methods development and validation in the pharmaceutical industry
• 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)
• Time to Innovate GSK: Optimising your experimentation process using JMPLearn how GSK’s Design of Experiments approach has resulted in a more efficient development process and delivered greater understanding and control of their drug production processes
• Time to Innovate AstraZeneca: Future chemistry: exploring the possibility spaceFind out how to accelerate discovery by understanding vast and complex chemistry problems with visual and predictive data modelling
• Statistically Speaking Risks and rewards for organizations building a culture of analyticsFind inspiration in analytics success stories from ASM, BASF and Coloplast
• Statistically Speaking The essentials of machine learning and artificial intelligenceCorning, Solvay and Novozymes experts make the most of advanced analytics
• Customer Story AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
• Statistically Speaking Developing a shared vision for analytic excellenceAnalytics champions from Dow, Unilever and Riffyn lead with a data-driven mindset
• Customer Story SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
• 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.
• Article Dark data and the pandemicAuthor David Hand explains the novel statistical challenges presented by the novel coronavirus.
• Statistically Speaking Design of experiments: An essential tool for discovery and innovationSyngenta, Alvotech and FUCHS count on DOE to improve their science and engineering processes
• Statistically Speaking Find meaning with purpose-driven analyticsChange agents from many fields use statistics to solve pressing world issues
• 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.
• Statistically Speaking Are big data and machine learning methods enough?Hear real-world examples about machine learning and AI from W.L. Gore, SAS and the author of Dark Data
• 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.
• 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
• Statistically Speaking Expert guidance on making the most of machine learning Demystify the buzzwords and expand your toolkit
• 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 Stay relevant and competitive with modern quality engineeringLos Alamos National Lab, Siemens Healthineers and Wolfspeed embrace automation and the rise of the digital economy
• Statistically Speaking Data visualization best practices can transform the work of scientists and engineersInsights from experts at W.L. Gore and SAS on how to gain momentum for your ideas and inform strategic decision making
• Statistically Speaking Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
• Statistically Speaking Leading companies innovate with statistically designed experimentsHear from Coherent, Lundbeck and Applied Materials
• White Paper Improving Processes with Statistical ModelsHow, when and where do I apply statistical modeling to a problem? Find out in these two real-world case studies.
• Article Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
• White Paper Optimizing Pharmaceutical Production Processes Using Quality by Design MethodsGood news! Did you know that your quality by design goals can be derived in a straightforward way, the results can be easy to verify and that this method allows for further improvement of the processes without the need for re-registration? Find out more with this case study from pharma.
• Article Guaranteeing the Quality, Efficacy and Safety of PharmaceuticalsLearn best practices for ensuring quality, efficacy and safety across all levels of drug development and manufacturing.
• Technically Speaking QbD: Using DOE to Increase Knowledge of the Process and Design SpaceDiscover when to apply design of experiments and how to identify different strategies to suit a variety of experimental needs.
• Technically Speaking Analytical Method DevelopmentDiscover a new approach that will enable to you to expend as few resources as possible while maximizing the information you get from an assay.
• Technically Speaking Pharmaceutical Method TransferConduct a successful analytical method transfer with time-saving statistical methods. In this webinar, you’ll learn new best practices to help streamline testing protocols.
• Technically Speaking Visualization and Analysis in Oncology Trials Using RECISTLearn how specialized interactive visualization reports can help you more effectively evaluate early efficacy signals in oncology therapeutic studies.
• White Paper Big Data, Pharma 4.0 and Process ModelingHow can you prepare for Industry 4.0? This paper outlines how to improve process knowledge, close the gaps for legacy products and set the foundation for big data use.
• Technically Speaking Pharmaceutical Product StabilityLearn how to navigate pharmaceutical regulatory requirements with robust analytics.
• Article Mixed Models: The Flexible Solution For Correlated DataWhy are mixed models at the center of so many analyses? Russ Wolfinger explains in these seven diverse case studies.
• Technically Speaking Clinical Trial Safety Analysis With JMP ClinicalConsolidate your clinical trial workflows by providing interactive reviews for medical monitors, reviewers and writers. This randomized controlled trial case study shows you how!
• Technically Speaking Improving Your Process With Statistical ModelsA pharmaceutical manufacturer seeks process improvement in the midst of an alarming number of batch failures and a high degree of variability in the natural materials used in the manufacturing process. How do they find the answers?
• White Paper Risk-Based Monitoring of Clinical Trials Using JMP ClinicalClinicians discover a better way to protect the well-being of patients by reviewing trial data remotely.
• 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 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 Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
• 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 PerrigoPerrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing
• Customer Story Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
• Customer Story ElancoAnalytics, visualization help Elanco clients produce more robust chickens.
• Customer Story JanssenScientists build a tool to better detect and evaluate potential adverse effects in the R&D process.
• Customer Story Mario Negri Institute for Pharmacological ResearchEpidemiologist uses JMP to study aging, anemia, Alzheimer's and more.
• Customer Story GlaxoSmithKlineScientists and engineers improve production processes.
• 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 Stanford University School of MedicineResearcher uses JMP to explore associations between genetic markers.
• Customer Story Tillotts PharmaAnalysts at Tillotts Pharma AG rely on JMP statistical discovery software from SAS to explore drug stability data.
• 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 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 Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
• Customer Story MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
• 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 MedytoxA Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality.’