Developing Artificial Intelligence-based Algorism to Predict Side Effects and Symptoms From Chemotherapy
Developing Artificial Intelligence-based Algorism Based on Life-log Data Acquired From Wearable Device for the Prediction of Chemotherapy-induced Side Effects and Symptom
In this study, the investigators obtain wearable disease based biomarkers from patients diagnosed with cancer and undergoing chemotherapy, and simultaneously measure patient self-reported adverse events through an app to evaluate chemotherapy completion rates, emergency room visits, and frequency of CTCAE adverse events.
The investigators will develop an artificial intelligence-based algorism that can predict patients' side effects based on biomarkers alone.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Sehhoon Park, MD
- Phone Number: +82-10-9185-8619
- Email: sehhoon.park@samsung.com
Study Locations
-
-
Gangnamgu
-
Seoul, Gangnamgu, Korea, Republic of, 06351
- Recruiting
- Samsung Medical Center
-
Contact:
- Sehhoon Park
- Phone Number: +821091858619
- Email: sehhoon.park@samsung.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 20 years of age or older
Must have diagnosed with lung, head and neck, or esophageal cancer,
- scheduled to receive their first treatment in preoperative or postoperative chemotherapy.
- scheduled for systemic chemotherapy due to recurrence or metastasis.
- Eastern Cooperative Oncology (ECOG) performance status of 0 to 2.
- Patients who have access to a smartphone and can use the mobile app on their own.
- Understand the purpose of the study and agree to participate in the study.
Exclusion Criteria:
- Patients who, in the judgment of the researcher, have difficulty using the application.
- Patients who are judged by the medical staff to be unable to participate in the study.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Neoadjuvant, Adjuvant Chemotherapy Arm
Patients diagnosed with lung, head and neck, or esophageal cancer and undergoing Neoadjuvant, Adjuvant chemotherapy.
|
Patients wear the wearable to check their biomarkers and use the application to assess their quality of life and side effects at one-week intervals.
|
|
Palliative Chemotherapy Arm
Patients diagnosed with lung, head and neck, or esophageal cancer and undergoing Palliative chemotherapy.
|
Patients wear the wearable to check their biomarkers and use the application to assess their quality of life and side effects at one-week intervals.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Developing artificial intelligence prediction algorism
Time Frame: Through study completion, an average of 30 months
|
PRO data and treatment information collected from the wearable are used to evaluate correlations through methods such as linear regression to determine valid variables, utilizing LSTM models, etc.
|
Through study completion, an average of 30 months
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 2023-02-057
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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