Clinical trial · Observational
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
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Esophageal Cancer | Malignant Esophageal Neoplasm | CURATED_EXACT | 0.92 |
| Head and Neck Cancer | Malignant Head and Neck Neoplasm | ALIAS | 0.90 |
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Fitbit smartwatch | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- Neoadjuvant, Adjuvant Chemotherapy Arm
- description
- Patients diagnosed with lung, head and neck, or esophageal cancer and undergoing Neoadjuvant, Adjuvant chemotherapy.
- interventionNames
- Other: Fitbit smartwatch
- label
- Palliative Chemotherapy Arm
- description
- Patients diagnosed with lung, head and neck, or esophageal cancer and undergoing Palliative chemotherapy.
- interventionNames
- Other: Fitbit smartwatch
Primary outcomes (1)
- measure
- Developing artificial intelligence prediction algorism
- timeFrame
- Through study completion, an average of 30 months
- description
- 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.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 20 Years
Show eligibility criteria text
Inclusion Criteria: * 20 years of age or older * Must have diagnosed with lung, head and neck, or esophageal cancer, 1. scheduled to receive their first treatment in preoperative or postoperative chemotherapy. 2. 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.
References
Publications (0)
Data not yet available