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Tetricus Labs

Tetricus Labs develops software for psychiatric practices to integrate technology into patient care from diagnosis through recovery. Their platform enables the seamless collection and analysis of a patient’s full digital phenotype for high-resolution data insights. This capability helps clinicians personalize and optimize treatment plans across different care settings.

East New York, United StatesFounded 202281K+ followers
Updated 20 months ago

Funding

Funding not disclosed

RB
Funding rounds are not available yet.

Founders

Product

Problem

Psychiatric hospitals and providers often struggle to effectively match patients with the most appropriate treatment options due to limited insight into a patient's comprehensive digital phenotype. Traditional assessment methods may lack the granularity needed to personalize care and optimize treatment strategies, leading to suboptimal recovery times.

Solution

Tetricus offers a software platform that leverages machine learning to analyze a patient's full digital phenotype, enabling psychiatric hospitals and providers to make more informed treatment decisions. The platform facilitates the collection and analysis of patient data, providing unprecedented resolution into individual needs. By tracking patient progress over time and across different care settings, Tetricus helps clinicians optimize and personalize treatment plans. This approach aims to improve patient outcomes and accelerate recovery.

Target Audience

The primary target audience includes psychiatric hospitals and independent providers seeking to enhance patient care through data-driven insights.

Features

  • Machine learning algorithms analyze a patient's digital phenotype for personalized treatment matching.
  • Seamless data collection and analysis across various sources.
  • Longitudinal tracking of patient progress to optimize treatment strategies.
  • Facilitates data-driven decision-making for psychiatric hospitals and providers.
This profile is AI-generated and may contain inaccuracies.