Mercury Data Science announces the publication of collaborative work with the Janssen Neuroscience team at the 61st American College of Neuropsychopharmacology (ACNP) Annual Meeting.

This work furthers efforts to identify clinical subtypes and perform digital biomarker-based stratification in autism based on EEG, ECG, and other biosensors. These insights will be used to inform future clinical trial study designs. Mercury Data Science is proud of this collaboration and shares special acknowledgment to Savannah Gosnell, PhD and Wen-Hsuan Chan, PhD for their expertise and involvement in this work.

Full poster abstracts linked as follows:

P395. Replication of the N170 Response to Faces for Use as a Potential Stratification Biomarker in Clinical Trials for Autism Spectrum Disorder

P396. Identification of Stable Clinical Subtypes in Autism Spectrum Disorder Using the Autism Behavior Inventory

Case studies related to these poster abstracts:

P395

A data science platform to support biomarker discovery

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P396 & P395
A scalable data science platform to orchestrate clinical trial analysis workflows and analyze results

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