Covid-19, Post-Acute Sequelae of SARS-CoV-2 Infection (PASC) and Influenza Treatment System With Machine Learning

NCT06052527 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 27

Last updated 2023-12-29

No results posted yet for this study

Summary

This is an open-tabled, one-arm observatory trial to assess the effectiveness and safety of the Autonomous Treatment System Based on Machine Learning in patients with Covid-19, Post-Acute Sequelae of SARS-CoV-2 infection and influenza.

Conditions

Interventions

OTHER

Autonomous Treatment System for Covid-19, Post-Acute Sequelae of SARS-CoV-2 Infection and Influenza Based on Machine Learning

A novel treatment recommendation system for Covid-19, Post-Acute Sequelae of SARS-CoV-2 Infection and Influenza, which is based on machine learning

Sponsors & Collaborators

  • Sheng'ai Traditional Chinese Medicine Hospital

    collaborator UNKNOWN
  • Lizora LLC

    lead INDUSTRY

Principal Investigators

  • jiale xian, MHA · Lizora LLC

Eligibility

Min Age
14 Years
Max Age
95 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-06-16
Primary Completion
2023-09-30
Completion
2023-10-01

Countries

  • China

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06052527 on ClinicalTrials.gov