AiCure Platform Optimize Drug Development & Patient Care with AiCure

AiCure's Platform allows pharmaceutical and biotech companies to remotely collect and analyze objective, quantifiable physiological and behavioral data using digital biomarkers and predictive analytics.

  • Collect PHI through AiCure’s mobile application

  • Understand drug response and objectively quantify difficult-to-measure symptoms

  • Develop insights only available from direct visualization of patient experience

  • Tap into a larger data set to address questions of generalizability, diversity, and overall potential market impact

  • Leverage Predictive Analytics to identify risk and drive timely interventions

  • Support for integration of additional patient data sources, patient companion apps, and with clinical workflows and records

Key Platform Features

Long-term secure storage of protected health information (PHI) complies with HIPAA, GDPR, and 21CFR11 or for de-identified PHI

Access to templates and tools for model development, analytics and clinical annotation

Supplemental access to de-identified patient audio and video data for benchmarking

Support for integration of additional patient data sources, patient companion apps, and with clinical workflows and records​

Digital Biomarkers

Capture and analyze behavioral variables, including head, upper extremity and hand motions, acoustics and vocal production, speech content and facial expressivity.

Examples of digital biomarkers targeted by AiCure:

Head Movement

Facial Expressivity


Acoustics & Vocals

Hand Motion

AiCure’s currently available biomarkers by disease area include:

  • Major Depressive Disorder - Facial expressivity, speech/acoustics, rate of head movement

  • PTSD - Facial expressivity, movement, speech prosody, natural language content

  • Essential Tremor - Hand motion

  • Parkinson’s Disease - Facial tremor, mood, harmonics-to-noise ratio, rate of speech

  • Tardive Dyskinesia - Movement of face, lips, jaw and tongue

  • Schizophrenia - Head movement

Collaboration with clients is ongoing to establish new biomarkers.

Predictive Analytics

Predictive Analytics for fast data aggregation and exploration to develop, tune and deploy machine learning models in a regulatory compliant manner.

  • Helps sponsors understand how likely a patient is to adhere to their treatment plan or to drop out over the course of an entire study with high accuracy

  • Enhance site selection with tools for data teams to tune, deploy and monitor performance

  • Enables patient-centric interventions that provide personalized encouragement, focusing efforts on the patients most in need

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