A student from Hyderabad has made strides in lung cancer detection by developing an AI model that utilizes DNA methylation biomarkers. This innovative approach aims to enhance early diagnosis and non-invasive screening methods.
In a recent study titled “DNA Methylation Biomarkers for Lung Cancer Detection: An AI-Driven Approach Using EGFR, PD-L1, SHOX2, RASSF1A and PTGER4,” Class XII student Ansh Kumar analyzed over 7,000 patient samples. The model integrates multi-gene biomarker profiling with machine learning, addressing limitations of traditional diagnostic methods like CT scans and biopsies, which often detect cancer at later stages or produce false positives.
The AI system focuses on identifying early molecular changes associated with lung cancer, allowing for simultaneous analysis of multiple biomarkers from various sample types, including blood plasma and sputum. This method aims to improve the sensitivity and specificity of lung cancer screening.
Experts, including Muskan Modi from the ICMR, emphasize the need for larger validation studies to ensure the model's effectiveness across diverse populations. While the research has been accepted at an international conference, further trials and regulatory approvals are necessary for clinical application, as noted by Dr. Poornima Jogi from the YRI Fellowship.
This development highlights the potential of AI in transforming early cancer detection, making it a significant advancement in the intersection of technology and healthcare. As the research progresses, the hope is that such innovative models can lead to more accurate and accessible diagnostic tools in the future.