We are conducting workshop of IntelliGenes, hosted by the International Society for Computational Biology (ISCB) on September 5, 2024, at 11:00 AM EDT.
Title: IntelliGenes: AI/ML pipeline for biomarker discovery and predictive analysis
In this tutorial, we present IntelliGenes, a novel Artificial Intelligence (AI) and machine learning (ML) pipeline to discover biomarkers significant in disease prediction with high accuracy. IntelliGenes is based on a novel approach, which consists of nexus of conventional statistical techniques and cutting-edge AI/ML algorithms using multi-genomic, clinical, and demographic data. By integrating these approaches, we outperformed single algorithms, resulting in enhanced accuracy, deeper insights, and more precise predictions, essential for personalized early disease-risk detection in individuals. IntelliGenes introduces a new metric i.e., Intelligent Gene (I-Gene) score to measure the importance of individual biomarkers for prediction of complex traits. I-Gene scores can be utilized to generate I-Gene profiles of individuals to comprehend the intricacies of ML used in disease prediction. IntelliGenes is user-friendly, portable, and a cross-platform application, compatible with Microsoft Windows, macOS, and UNIX operating systems. IntelliGenes not only holds the potential for personalized early detection of common and rare diseases in individuals, but also opens avenues for broader research using novel ML methodologies, ultimately leading to personalized interventions and novel treatment targets. We are proud to share that IntelliGenes is the first peer reviewed published AI/ML pipeline for biomarker discovery and predictive analysis using integrated clinical and multi-genomic profiles. It is recently published in the Bioinformatics journal by Oxford University Press and the International Society for Computational Biology (ISCB).
Registration is open and further information is available at URL: https://www.iscb.org/cms_addon/registration_conference/tutorial17
IntelliGenes, Project Publications:
- Narayanan, R., Degroat, W., Mendhe, D., Abdelhalim, H., & Ahmed, Z.* (2024). IntelliGenes: Interactive and user-friendly multimodal AI/ML application for biomarker discovery and predictive medicine. Collection: Artificial Intelligence in Biology and Bioinformatics. Biology Methods & Protocols. 9(1), bpae040. PMID: 38884000. (Oxford).
- Degroat, W., Mendhe, D., Bhurasi, A., Abdelhalim, H., Saman, Z., & Ahmed, Z.* (2023). IntelliGenes: A novel machine learning pipeline for biomarker discovery and predictive analysis using multi-genomic profiles. Bioinformatics. 39(12), btad755. PMID: 38096588. (Oxford).