Understanding who the right patients are and how to find them remains a challenge across the therapy lifecycle. From clinical development and trial enrollment through post-approval, each stage generates new insights into patient populations, disease characteristics, diagnostic and healthcare journeys. This webinar explores how integrated patient data can improve patient identification and inform decisions throughout the therapy lifecycle.
This webinar brings together industry experts to examine how genomic, phenotypic, claims and electronic health record (EHR) data can help identify and better understand rare disease patient populations across the therapy lifecycle. The discussion will highlight how real-world data can identify patients who may otherwise be overlooked, support clinical development and provide insights that inform future therapeutic development programs.
The featured speakers will also explore how these insights can be applied across the therapy lifecycle, drawing on large-scale, clinically derived genomic datasets containing millions of genetic tests, exome and genome sequences and phenotypic data points, complemented by claims data. Integrating these complementary data sources can strengthen the understanding of patient populations, reveal patterns in healthcare journey and support evidence-based decisions from discovery through post-approval.
Register for this webinar to learn how genomic and real-world data can improve patient population identification, support clinical development and generate insights that inform future therapeutic programs.
Who Should Attend
This webinar will appeal to professionals working in rare disease research, genomic medicine, clinical development, commercial strategy and real-world evidence, including:
Research Scientists and Genomic Scientists
Molecular Geneticists and Epidemiologists
Translational Scientists and Biomarker Researchers
Clinical Development/Operations
Precision Medicine
Commercial Strategy and Market Access professionals
Medical Affairs Directors and Medical Science Liaisons
Real-World Evidence (RWE) and HEOR professionals
Bioinformatics Scientists and Clinical Data Scientists
Register free on Xtalks: https://xtalks.com/webinars/use-patient-population-data-to-improve-therapy-lifecycle-decisions/
