Webinar: Natural Language Processing, Rare Disease and Precision Medicine
When: Tuesday 9 February, 2021
Time: 11:00am EST; 8:00am PST; 4:00pm GMT; 5:00pm CET
Duration: 60 minutes
Precision Medicine has a tremendous potential to positively impact human health, particularly for rare diseases. Natural language processing (NLP) provides research and clinical teams with the power to effectively mine scientific and EHR data sources. Genotypes-phenotypes associations can be revealed that inform rare disease diagnoses in the clinic, and provide a landscape for drug discovery and development.
Within the clinical arena, in order to understand the best treatment pathway for a particular rare disease patient or group of patients, it is important to be able to access and analyze information from the unstructured parts of clinical records as well as the structured. In the pharma industry, there is a rich landscape of gene-disease and gene-mutation information buried in unstructured text such as scientific literature.
Linguamatics NLP-based text analytics unlocks the value from sources such as electronic health records (EHRs), scientific literature, conference abstracts, or internal reports.
In this webinar, you will learn how NLP is being used to transform unstructured source data into clinical and research decision support insights for rare diseases, and hear about some of the latest precision medicine initiatives including use cases from University of Iowa, Takeda and Sanofi:
Computational phenotyping with the Human Phenotype Ontology
Genotype-phenotype data mining for rare disease patient stratification
Landscape of rare disease biology from literature for drug development
Speakers
Jane Reed
Director of Life Sciences, LinguamaticsJane Reed
Dr. Jane Reed is Director, Life Sciences, at Linguamatics, an IQVIA company. Jane is responsible for developing the strategic vision for Linguamatics’ growing product portfolio and business development in the life science domain. Jane has extensive experience in life sciences informatics. She has worked for more than 15 years in vendor companies supplying data products, data integration and analysis and consultancy to pharma and biotech - with roles at Instem, BioWisdom, Incyte, and Hexagen.
Liz Marshall, MD
Associate Director, Clinical Analytics, LinguamaticsLiz Marshall, MD
Dr. Marshall is committed to utilizing technology to promote better health. She is especially interested in utilizing Artificial Intelligence solutions such as Natural Language Processing (NLP) to promote enhanced patient care and medical research. Early in her career, she served in the United States Air Force, where her role in computer operations and logistics was in support of Operation Enduring Freedom, the military’s response to the 9-11 Attacks. After her military career, she became a research physician in the area of mental health and dedicated her time to the development of informatic solutions to improve clinical treatment of Military Veterans. Her work as a Clinical Research Health Scientist at the Veterans Administration in Charleston, SC resulted in substantial gains in the treatment of suicidality and PTSD. She was awarded the 2013 Research Training Institute Scholar Award from the Injury Control Research Center for Suicide Prevention (ICRC-S). Marshall also developed a highly effective e-learning training program for helping clinicians identify and treat suicidal patients, that was requested for federal-wide adoption by the Department of Defense. Marshall has reviewed and abstracted relevant physical and mental information from EHR’s over 1,000 patients and 300 clinicians. Prior to joining Linguamatics, Marshall completed her fellowship training in informatics at the Medical University of South Carolina. There she earned Epic Research Clinical Certification and worked building informatic solutions for healthcare utilizing Linguamatics, Epic, and Telehealth.
Sridevi Krishnamurthy
Application Scientist, LinguamaticsSridevi Krishnamurthy
Sridevi Krishnamurthy joined Linguamatics as an Application Scientist in 2019. In this role, Sridevi is responsible for applying NLP techniques to a variety of different data sources to derive insights and help customers find answers to their questions in a much more efficient manner. She has a PhD in Electrical Engineering and has worked in the biosciences space for 8 years prior to joining Linguamatics.
