Robots in the lab – learn how automation can streamline your workflow

Susan Lovasic is the Global Regulatory Affairs Manager - Tyvek® Protective Apparel for DuPont Protection Solutions and is located in Richmond, Virginia. Ms. Lovasic received her B.S. degree in Chemical Engineering from the Pennsylvania State University and has worked for DuPont since 1984 in both research and marketing capacities across a variety of businesses, including Stainmaster® and Antron® nylon carpet fibers, Kevlar® and Nomex® aramid fibers, and Tyvek® and Tychem® chemical protective garments. Since 1996, Ms. Lovasic’s research efforts have focused on protective apparel applications to help protect wearers against chemical, biological, thermal, and fire hazards. She has led research to assess the critical properties of protective apparel ranging from assessment of comfort and durability properties to instrumented thermal mannequin fire and electric arc flash testing and hazardous chemical barrier testing.

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.

This FREE to attend webinar was presented by Dr John Studley, Scientific Update. John will cover the following topics: General introduction-, discovery, natural abundance etc, Why is deuterium of interest to chemists? Physical properties and comparison to proteo- compounds, Applications & Key articles to read for further information.

It’s no secret that the world is currently experiencing changes of large magnitude in these unprecedented times.