# Using Machine Learning to Identify Responders to TACE or HAIC for uHCC

> **NCT07368530** · — · COMPLETED · sponsor: **First Affiliated Hospital, Sun Yat-Sen University** · enrollment: 3000 (actual)

## Conditions studied

- Unresectable Hepatocellular Carcinoma (HCC)
- BCLC Stage B Hepatocellular Carcinoma
- BCLC Stage C Hepatocellular Carcinoma

## Interventions

- **PROCEDURE:** Transarterial chemoembolization (TACE)
- **PROCEDURE:** hepatic arterial infusion chemotherapy (HAIC)

## Key facts

- **NCT ID:** NCT07368530
- **Lead sponsor:** First Affiliated Hospital, Sun Yat-Sen University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2015-01-01
- **Primary completion:** 2025-12-31
- **Final completion:** 2025-12-31
- **Target enrollment:** 3000 (ACTUAL)
- **Last updated:** 2026-01-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07368530

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07368530, "Using Machine Learning to Identify Responders to TACE or HAIC for uHCC". Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/clinical/NCT07368530. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*