Upcoming Webinar

Deep Learning in Toxicity Prediction: Reasons for Use and Possible Applications

Registration link: https://attendee.gotowebinar.com/register/8488695262241590285

Deep Learning in Toxicity Prediction: Reasons for Use and Possible Applications

Presenter: Suman Chakravarti, Chief Scientific Officer, MultiCASE

Wednesday, December 4, 2019
10:00 AM US ET

 

Use of deep learning is increasing in solving different problems in computational toxicology and QSAR methodology in general. However, it is important to recognize the strengths of deep learning techniques in order to get the best out of them.

This webinar will focus on different aspects of computational toxicity assessments that can be improved using deep learning techniques beyond just increasing the accuracy of the predictions. For example, building scalable QSARs using big data, eliminating the use of precomputed descriptors from QSARs, expanding domain of applicability of QSARs and identification of toxicity alerts using deep learning techniques. In addition, available free tools and different types of deep learning architectures that are relevant to toxicity assessments will be discussed with the aid of case studies.