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A study to see the Genomic Signatures from lung tissue images using OncoPredikt an AI Platform in Lung Adenocarcinoma Patients.

A prospective, interventional, single center study to correlate outcomes using OncoPredikt, an (AI-enabled platform) to predict genomic signatures from histopathological images in lung adenocarcinoma patients. - NIL

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
CTRI
Registry ID
CTRI/2024/11/076681
Enrollment
52
Registered
2024-11-12
Start date
Unknown
Completion date
Unknown
Last updated
2025-10-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: C34- Malignant neoplasm of bronchus andlung

Interventions

Intervention1: AI based platform- OncoPredikt: The AI-based platform, OncoPredikt, predicts molecular and gene mutation status from H&E-stained digital slides and correlates these findings with outcom

Sponsors

OneCell Diagnostic India Pvt. Ltd
Lead Sponsor
Bhaktivedanta Hospital and Research Institute
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients whose NGS (conventional testing) reports are available with confirmed diagnosis of Lung cancer with or without mutation status in the listed genes. (KRAS, BRAF, EGFR, RET, ALK, ROS1, MET, STK11, ERBB2, NTRK mutations). 2. Patients whose Lung biopsy H&E slides or tissue biopsy slide is available. 3. Patients who would be willing to participate voluntarily.

Exclusion criteria

Exclusion criteria: Patients who do not have lung adenocarcinoma with a biomarker.

Design outcomes

Primary

MeasureTime frame
OncoPredikt-based prediction of lung panel gene signature mutation status can be accurately performed on diagnostic H&E slides potentially yielding results quickly and affordably, even when limited tissue is available for testing, thus, providing a reliable and accurate screening tool to predict lung panel gene mutations. Timepoint: 15 days

Secondary

MeasureTime frame
NilTimepoint: Nil

Countries

India

Contacts

Public ContactDr Nirmal Raut

Bhaktivedanta Hospital and Research Institute

pinirmal123@gmail.com9930398156

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026