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Predictive Oncology Issues Shareholder Letter: Well Financed to Support Expanded U.S. Availability and E.U. Launch of ChemoFx® and Pursuit of Other High-Value AI-Driven Drug Discovery and Development Opportunities
Globenewswire· 2025-07-15 13:00
Core Insights - Predictive Oncology Inc. has announced a $10 million Securities Purchase Agreement to support its strategic growth initiatives, particularly the expansion of ChemoFx in the U.S. and its launch in Europe [1][13][14] - ChemoFx is a proprietary live-cell tumor profiling assay that provides personalized chemotherapy guidance by testing multiple chemotherapies on a patient's cancer cells [2][3] - The company has a biobank of over 150,000 tumor samples, which enhances its drug response data and supports recurring revenue opportunities [3][9] ChemoFx Expansion - The groundwork for expanding ChemoFx in the U.S. is underway, with discussions ongoing with potential channel partners and pharmaceutical manufacturers [3] - Future developments of ChemoFx are expected to extend beyond gynecological cancers to include breast, colon, and lung cancers [4] High-Throughput Screening Market - The high-throughput screening market is projected to reach $69.5 billion by 2032, with a compound annual growth rate (CAGR) of 12.18%, indicating a growing adoption of 3D cell cultures for more relevant screening models [6] AI-Driven Drug Discovery - The company is advancing its AI-driven drug discovery initiatives, which include biomarker discovery and drug repurposing, leveraging its extensive biobank [8][9] - Successful collaborations, such as with UPMC Magee-Womens Hospital, have led to the development of AI-powered models that predict survival outcomes in ovarian cancer patients [10][11] Drug Repurposing Initiatives - The company has identified three drug candidates for re-evaluation in ovarian and colon cancer through active machine learning, showcasing its potential in transitioning shelved drug candidates back into clinical development [12] Funding and Financial Strategy - The Securities Purchase Agreement with Yorkville Advisors provides an efficient and flexible funding source, allowing the company to opportunistically sell shares when market conditions are favorable [13][14] - The company views this agreement as a partnership that will support its vision and growth strategy [14] Company Overview - Predictive Oncology is at the forefront of using AI and machine learning to expedite drug discovery, with a platform that predicts tumor responses with 92% accuracy [16]
Predictive Oncology Announces $10M Share Purchase Agreement in Partnership with Yorkville Advisors to Advance AI-Driven Drug Discovery and Repurposing
Globenewswire· 2025-07-08 13:00
Core Insights - Predictive Oncology Inc. has entered into a standby equity purchase agreement (SEPA) with YA II PN, LTD, managed by Yorkville Advisors Global, LP, to secure funding for its drug discovery initiatives [1][2] - The SEPA allows Predictive Oncology to sell up to $10 million worth of its stock at its discretion, with no minimum commitments or penalties for non-use [2] - The company leverages its AI-driven platform, PEDAL, which predicts drug response with 92% accuracy, enhancing drug discovery for cancer treatment [4] Funding Agreement - The SEPA provides Predictive Oncology with a flexible funding source to support ongoing drug discovery, biomarker discovery, and drug repurposing efforts [1] - Yorkville is obligated to purchase the stock, but Predictive Oncology controls the timing and amount of sales [2] - There are no associated warrants, derivatives, or other share classes with the SEPA, and it does not restrict the company's operational activities [2] Company Overview - Predictive Oncology specializes in AI and machine learning applications in drug discovery, aiming to expedite the development of cancer treatments [4] - The company has a biobank of over 150,000 tumor samples, enhancing its drug discovery capabilities [4] - Predictive Oncology is headquartered in Pittsburgh, PA, and offers one of the industry's broadest AI-based drug discovery solutions [4]
Court Denies Renovaro Motion for an Expedited Trial in July
GlobeNewswire News Room· 2025-05-27 12:35
Core Viewpoint - Predictive Oncology Inc. is engaged in a legal dispute with Renovaro, Inc., with the Delaware Court of Chancery rejecting RENB's request for an expedited trial, citing delays in RENB's actions [1][2]. Company Overview - Predictive Oncology is a leader in AI-driven drug discovery, utilizing its AI platform, PEDAL, which predicts with 92% accuracy whether a tumor sample will respond to specific drug compounds [3]. - The company has a biobank of over 150,000 assay-capable heterogeneous human tumor samples, providing extensive AI-based drug discovery solutions [3]. - Predictive Oncology is headquartered in Pittsburgh, PA, and operates a wholly owned CLIA laboratory facility [3]. Legal Proceedings - The court has scheduled the trial for November 12-13, 2025, and Predictive Oncology intends to defend against RENB's claims, which are deemed inaccurate and without merit [2].
Predictive Oncology Inc. Issues Shareholder Letter Titled, "Revolutionizing Medicine: AI-Driven Biomarker and Drug Discovery for Precision Health"
Globenewswire· 2025-05-20 12:30
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]
Predictive Oncology Develops Novel Approach to Identifying Clinically Viable Abandoned Drugs
Newsfilter· 2025-04-15 12:00
Core Insights - Predictive Oncology Inc. has made significant advancements in biomarker discovery and drug repurposing through the integration of active machine learning and a biobank of live-cell tumor specimens [1][2] - The company’s innovative approach has successfully identified three compounds for further exploration in tumor indications that have not been previously examined [3][4] Drug Discovery and Development - The efficient screening process identified Afuresertib, Alisertib, and Entinostat as promising candidates for ovarian and colon tumors, with Alisertib and Entinostat outperforming standard care drugs [4][6] - Afuresertib is an Akt inhibitor previously studied in various cancers, while Alisertib is a selective Aurora A inhibitor showing strong responses in ovarian and colon tumors [5][6] - Entinostat, an HDAC1/3 inhibitor, demonstrated strong responses in colon tumor models and is currently in clinical trials for combination therapy [7] Methodology and Future Directions - The company’s AI platform, PEDAL, predicts with 92% accuracy whether a tumor sample will respond to specific drug compounds, enhancing drug/tumor type selection for testing [10] - The next logical step involves applying this methodology to other publicly available abandoned drugs, potentially creating partnership opportunities with pharmaceutical companies [9]