When:
Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST
Length: 60 minutes
Security in drug improvement is among the greatest challenges and alternatives dealing with life sciences firms right now. The quickly growing quantity of security reviews and related paperwork is sort of unsustainable for guide efforts, and pharma firms are in search of progressive AI applied sciences to carry important course of enhancements. Lots of our clients use the ability of IQVIA’s Pure Language Processing (NLP) platform to optimize their security processes comparable to medical literature monitoring, to cut back prices and achieve extra worth from the insights generated.
NLP is an AI know-how that transforms unstructured textual content into structured knowledge, enabling fast evaluation and evaluation. This functionality might be utilized for security evaluation and medical evaluation, offering efficient search of literature, drug labels and regulatory evaluation packages for adversarial occasions and the essential context round these, to assist with a deeper understanding and contextualization of any potential security sign.
This webinar will current an outline of buyer success tales, together with use instances from the FDA, and a demo of IQVIA’s NLP Security Intelligence Hub, to point out how NLP can allow your group to advance drug security.
What is going to you study?
- How pure language processing (NLP) textual content mining can extract structured knowledge from unstructured textual content for medical literature monitoring, security evaluation, contextualisation of security indicators, security case processing, MedDRA mapping.
- How huge pharma entry inner knowledge silos and exterior knowledge sources for security resolution making. Use instances from high pharma and the FDA can be mentioned.
Who ought to attend?
- Groups concerned in security evaluation, medical evaluation, adversarial occasion medical coding, security techniques, medical literature mining, pharmacovigilance, security intelligence.
- Groups with a must get higher worth from each inner and exterior textual security info and integrating various knowledge units to offer information related to drug security and threat prediction.
- Informaticians, info professionals, researchers, with accountability for:
- Threat profiles for targets in early drug discovery
- Preclinical and scientific drug security
- Security evaluation throughout the pipeline
Audio system
Jane Reed
Director, NLP, Safety & Regulatory
Jane Reed is Director of NLP at Linguamatics, an IQVIA firm. She is accountable for main the strategic imaginative and prescient for Linguamatics product portfolio and enterprise improvement for the pharma and biotech market, with a deal with security and regulatory. Jane has 20+ years’ expertise in vendor firms supplying knowledge merchandise, knowledge integration and evaluation, and consultancy to pharma and biotech—with roles at Instem, BioWisdom, Incyte, and Hexagen. Earlier than shifting into the life science business, Jane labored in academia with post-docs in genetics and genomics. Jane holds a MA from Cambridge College and a PhD from Birmingham College.
Andrew Hinton
Senior Application Scientist at IQVIA NLP
Andrew Hinton is a Senior Utility Scientist who gives NLP options for extracting info from unstructured knowledge comparable to scientific literatures, patents and actual world scientific notes. Andrew is an professional in offering NLP options and assist throughout the client journey, together with consulting companies, coaching, and consumer engagement. Andrew has 11+ years of expertise in NLP centric knowledge extraction and analytics