Core Insights - Predictive Oncology is expanding its AI-driven drug discovery platform to include biomarker discovery and drug repurposing, positioning itself as a leader in precision oncology innovation [1][7] - The global biomarker discovery market is valued at $14.5 billion in 2024, with a projected growth rate of 19.4% CAGR through 2030, indicating significant market potential for the company [1][7] Company Developments - The company has developed AI-powered multi-omic machine learning models in collaboration with UPMC Magee-Womens Hospital, which predict survival outcomes in ovarian cancer patients, outperforming traditional clinical data models [3][4] - Predictive Oncology has identified novel ovarian cancer biomarkers linked to patient survival and drug response using advanced deep learning methods, enhancing its capabilities in biomarker discovery [6][7] - The company is actively refining its survival prediction models for integration into clinical practice at leading cancer centers worldwide, particularly for high-grade serous ovarian cancer [5][6] Drug Discovery and Repurposing - The company addresses high clinical trial failure rates in oncology by integrating real-world diversity from its biobank of 150,000 tumor samples, which enhances the Probability of Technical Success (PTS) in drug discovery [9][10] - Predictive Oncology has identified three candidates for re-evaluation in ovarian and colon cancer from previously abandoned oncology drugs, showcasing its drug repurposing capabilities [11][12] Product Expansion - The company plans to expand its flagship assay, ChemoFx®, into Europe and broaden its availability in the United States, which provides personalized treatment selection based on live-cell tumor profiling [13][14] - ChemoFx® works alongside the BioSpeciFx® molecular biomarker portfolio to help oncologists determine effective chemotherapy options for patients, initially focusing on gynecologic cancers [14] Future Outlook - The progress made in 2024 lays a strong foundation for future growth, with the company positioned to lead advancements in precision oncology through its AI innovation and proprietary data [15]