Answers to Common Questions When Considering a Chromatography Data System Upgrade

Over the past decade, firms of all sizes from global conglomerates to regional manufacturers have faced a plethora of product stewardship challenges, including adapting to changing regulations, minimizing costly product recalls and protecting brand reputation from undesirable social and environmental sourcing practices. When it comes to managing product stewardship, firms often struggle to establish the appropriate organizational approaches and a notable number are still grappling with manual data collection, disparate databases and decentralized offline access of information.

When it comes to micro reaction calorimeter, could there be applications beyond scale-up and reaction calorimetry itself you’re not aware of? Join this sponsored webinar to gain a greater understanding of micro reaction calorimetry, including the measuring principle and its diverse range of applications for thermal characterization.

Join the industry leaders from Microsoft, Simon-Kucher & Partners and PROS to discover the latest business process trends in the industry and how focusing on the customer experience and sales enablement process leads to increased revenue growth and enhanced profitability. During this on-demand webinar, you will explore the following building blocks of marketing and sales excellence in Chemicals: Segment your customers and align your offering.

Industry is currently facing a substantial challenge. There is an increasing need to develop chemical hazard data for both new and existing chemicals, while at the same time there are current and proposed regulatory mandates as well as ethical drivers to reduce, refine, and replace (the “3 R’s”) the use of animal test methods with alternative non-animal methodologies. This creates a challenge for innovators, formulators, and companies who strive to introduce a new chemical or fill data gaps on existing chemicals while adhering to the principles of the 3 R’s. In silico, or computational toxicology software offers an alternative method for predicting chemical hazards. Traditional Quantitative Structure Activity Relationship (QSAR) methodology employs simple analog identification and predicting hazard data from chemical analogs with known hazard data. This webinar will cover the UL Cheminformatics Tool Kit, a novel in silico approach combining big data with advanced machine learning incorporating data fusion. The approach integrates novel models called RASARs (Read-across Structure Activity Relationship) with data fusion techniques that extend this concept by considering all available property data on both the target and analogs rather than only the modeled hazard.