Partnering with Disease Registries: The Value and Impact for Real-World Evidence Generation
In this webinar, Evidera experts present guidance on why strong connections with registry groups and stakeholder populations are important for generating relevant real-world evidence to advance treatments.
#ExpertAnswers: Fan Wu and Lidor Spivak on Electrophysiological Data Analysis using Artificial Intelligence
Fan Wu and Lidor Spivak discuss automating electrophysiological data analysis using artificial intelligence and introduced a new cloud-based platform applying these methods.
Towards Automated Spikesorting using Artificial Intelligence on a Cloud-Based Platform
Dr. Fan Wu and Lidor Spivak answer questions from their webinar on the automation of electrophysiological data analysis using artificial intelligence.
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials
Watch a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
Towards Automated Spikesorting using Artificial Intelligence on a Cloud-Based Platform
In this webinar, Dr. Fan Wu and Lidor Spivak discuss the use of artificial intelligence to automate electrophysiological data analysis, including a new cloud-based software platform.
Cutting Edge Conversations: Addressing Orphan and Rare Diseases
Joseph Zabinski, PhD, MEM, and Jonathan Kish, PhD, MPH, discuss how research groups are working in the realm of orphan and rare diseases.
The Value of a Multi-Source Real-World Data Strategy: How to Overcome Gaps and Limitations
Syapse experts share how to establish high quality, real-world datasets by using a multi-source strategy. A single source of data is often not enough to generate meaningful real-world evidence.
