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Time to Innovate
Dr. Reddy’s Laboratories : How to use design of experiments to innovate processes and productsWatch this video in which Christel Kronig, Senior Analytical Scientist at Dr. Reddy's Laboratories explains ways in which design of experiments (DOE) can be used to optimize and innovate your processes.
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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.
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Interview
PharmaronAn interview with Amy Hawksworth, Senior Manager of Downstream Process Sciences
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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.
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Video
Rentschler BiopharmaA culture of data literacy encourages scientists to embrace digitalization.
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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.
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Partnership
BASF + KU LeuvenHow BASF identified a gap in engineering education, then designed a course to fill it with KU Leuven.
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Video
Regeneron PharmaceuticalsJMP Live became a vehicle for enterprise analytics.
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Success Story
NovozymesHow enterprise statistical enablement led to more reproducible research and bigger impact in the face of a changing planet.
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Interview
Eli LillyChao Richard Li on data literacy and DOE.
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Customer Story
Thermo Fisher ScientificScientists and engineers working at the forefront of technology transfer integrate sophisticated statistical approaches in JMP.
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Statistically Speaking
How Design of Experiments Can Transform the Way We InnovateFind inspiration in analytics success stories from Moderna, Roche Diagnostics and CPI
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Customer Story
RiffynResearchers developed and validated a reagent- and instrument-agnostic SARS-CoV-2 diagnostic assay within nine weeks.
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Customer Story
AdociaStatistical approaches boost reproducibility and knowledge continuity in process transfer.
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Customer Story
SynthaceBiologists achieve all the benefits of sophisticated statistical methods without time-intensive programming.
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Customer Story
F-star TherapeuticsStatistical approaches to experimentation open the door to the exploration of novel biology.
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Customer Story
LonzaA customized design of experiments approach optimizes yield in bioreactors.
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Statistically Speaking
Why interactive data visualization is critical to industryMARELLI, Coloplast and Bluepharma make data visualization a central tenet of problem solving and innovation
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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.
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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.
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Customer Story
KM BiologicsAn innovative in-house statistical literacy program goes beyond theory to teach practical data skills to scientists and engineers.
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Statistically Speaking
The power of structured experimentation in science and engineeringMicrosoft, Riffyn and Corning use design of experiments to solve problems, create new products
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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
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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.
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Statistically Speaking
Achieve rapid innovation with design of experimentsHow companies like Johnson Matthey and F-star Therapeutics take advantage of structured experimentation
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Article
Reliability Data AnalysisLearn about new trends in the statistical assessment of product reliability from expert Dr. Bill Meeker of Iowa State University.
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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.
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Customer Story
GlaxoSmithKlineScientists and engineers improve production processes.
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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.
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Customer Story
Johnson Matthey BiocatalystsA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
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Customer Story
Roche SwitzerlandRoche provides biosensors that allow health care professionals to get bedside readings of the quality of a patient’s blood.
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Customer Story
Siemens HealthineersQuality engineers optimize manufacturing, testing and performance of an innovative blood-analysis system.
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Customer Story
Beckman CoulterBeckman Coulter adapts to evolving regulatory standards while building in-house statistical capabilities.
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Customer Story
Colorado Department of Public Health and EnvironmentAn epidemiologist uses data analysis to help patients living with HIV/AIDS reenter the care continuum.
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Customer Story
MedytoxA Korean biopharmaceutical trailblazer prepares to enter the global market by ‘strengthening internal infrastructure and improving clinical quality.’
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Customer Story
CelltrionQuality by Design advances safety, affordability and regulatory accountability.
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Customer Story
MerckBiostatisticians use interactive features in JMP to perform robust statistical analyses in less time.
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Customer Story
AlmirallData scientists build a data management standard for medical monitoring and regulatory compliance.
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Customer Story
De Montfort UniversityIndustry experts partner with the university to provide instruction on QbD best practices.
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Customer Story
Tillotts PharmaAnalysts at Tillotts Pharma AG rely on JMP statistical discovery software from SAS to explore drug stability data.
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Customer Story
AB VistaAB Vista sees sustainable agriculture and peer-reviewed science as central to its mission.
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Customer Story
Ferring Pharmaceuticals & NNEJMP Clinical enables Ferring to implement a custom centralized statistical monitoring program designed by consultancy NNE.
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Customer Story
London DNA FoundrySynthetic biologists improve experimentation with DOE and robotic automation.
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Customer Story
Pierre FabreJMP gives Pierre Fabre the tools to optimize its pharmaceutical and consumer health product lines.
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Customer Story
CEA GrenobleResearchers save time on analysis, communication and technology transfer.
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Customer Story
Mario Negri Institute for Pharmacological ResearchEpidemiologist uses JMP to study aging, anemia, Alzheimer's and more.
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Customer Story
Daewoong PharmaceuticalA quality control team uses JMP to identify the root cause of a critical manufacturing issue.
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Customer Story
JanssenScientists build a tool to better detect and evaluate potential adverse effects in the R&D process.
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Customer Story
PerrigoPerrigo reduces product variability and other inefficiencies by growing the use of statistical analysis in experimentation and testing
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Customer Story
Mitsubishi Tanabe PharmaResearchers use JMP outputs to make pharmaceutical production processes more efficient and reliable.
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Customer Story
Johnson Matthey Fine ChemicalsAt Johnson Matthey, JMP is the ‘active ingredient’ in process optimization
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Customer Story
Ono PharmaceuticalA statistical approach helps Ono Pharmaceutical build quality controls directly into manufacturing methods
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Customer Story
Stanford University School of MedicineResearcher uses JMP to explore associations between genetic markers.
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Customer Story
ElancoAnalytics, visualization help Elanco clients produce more robust chickens.
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Customer Story
ArlendaArlenda uses JMP to help pharmaceutical companies establish more effective, less expensive development and manufacturing processes.
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Customer Story
IpsenBiologists investigate biomarkers critical to the development of new cancer therapeutics.
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Customer Story
Roche UKA forward-thinking statistical monitoring program helps ensure smooth and accurate regulatory filings.
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Abstract
VelaLabsUsing JMP to automate pharmaceutical calculations.
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Abstract
Cerba ResearchAutomating assays for use in clinical trials.