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Predictive Oncology Announces Abstract Accepted for Presentation at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting

Predictive Oncology Announces Abstract Accepted for Presentation at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting

预测肿瘤学宣布摘要获准在2024年美国临床肿瘤学会(ASCO)年会上发表
Predictive Oncology ·  04/24 00:00

PITTSBURGH, April 24, 2024 (GLOBE NEWSWIRE) -- Predictive Oncology Inc. (NASDAQ: POAI), a leader in AI-driven drug discovery and biologics, today announced that an abstract has been accepted for presentation at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting, which is being held May 31-June 4, 2024, in Chicago, Il.

匹兹堡,2024年4月24日(GLOBE NEWSWIRE)——人工智能驱动药物发现和生物制剂领域的领导者预测肿瘤学公司(纳斯达克股票代码:POAI)今天宣布,一份摘要已获准在2024年5月31日至6月4日在伊利诺伊州芝加哥举行的2024年美国临床肿瘤学会(ASCO)年会上发表。

The abstract highlights results from a recent study that Predictive Oncology completed in collaboration with UPMC Magee-Womens Hospital in Pittsburgh, PA. The study utilized multi-omic machine learning models to determine if they could better predict short- and long-term survival outcomes among women diagnosed with high grade serous ovarian cancer (HGSC) as compared to clinical data alone.

该摘要重点介绍了预测肿瘤学与宾夕法尼亚州匹兹堡的UPMC Magee-Womens医院合作完成的一项最新研究的结果。该研究使用多组学机器学习模型来确定与单独的临床数据相比,它们能否更好地预测被诊断患有高级别浆液性卵巢癌(HGSC)的女性的短期和长期存活结果。

Title: Using Artificial Intelligence-Powered Evidence-Based Molecular Decision-Making for Improved Outcomes in Ovarian Cancer
Abstract #: 5555
Poster bd#: 426
Session: Gynecologic Cancer
Date/time: Monday, June 3rd, 9:00am – 12:00pm CDT (10:00am-1:00pm EDT)
Presenter: Brian Christopher Orr, MD, MS, Gynecologic Oncologist at the Hollings Cancer Center and assistant professor at the Medical University of South Carolina
标题: 使用人工智能驱动的循证分子决策来改善卵巢癌的预后
摘要 #: 5555
海报 bd#: 426
会话: 妇科癌症
日期/时间: 6月3日,星期一第三方,中部夏令时间上午 9:00 — 下午 12:00(美国东部时间上午 10:00 至下午 1:00)
演示者: 布莱恩·克里斯托弗·奥尔,医学博士、硕士,霍林斯癌症中心妇科肿瘤学家,南卡罗来纳医科大学助理教授

The full abstract will be available on meetings.asco.org on May 23rd at 5:00 PM ET.

完整摘要将于 5 月 23 日在 meetings.asco.org 上发布第三方 美国东部时间下午 5:00。

About Predictive Oncology
Predictive Oncology is on the cutting edge of the rapidly growing use of artificial intelligence and machine learning to expedite early drug discovery and enable drug development for the benefit of cancer patients worldwide. The company's scientifically validated AI platform, PEDAL, is able to predict with 92% accuracy if a tumor sample will respond to a certain drug compound, allowing for a more informed selection of drug/tumor type combinations for subsequent in-vitro testing. Together with the company's vast biobank of more than 150,000 assay-capable heterogenous human tumor samples, Predictive Oncology offers its academic and industry partners one of the industry's broadest AI-based drug discovery solutions, further complimented by its wholly owned CLIA lab and GMP facilities. Predictive Oncology is headquartered in Pittsburgh, PA.

关于预测肿瘤学
预测肿瘤学在快速增长的人工智能和机器学习的应用中处于最前沿,它可以加快药物的早期发现,并促进药物开发,造福全球癌症患者。该公司经过科学验证的人工智能平台PEDAL能够以92%的准确率预测肿瘤样本是否会对某种药物化合物产生反应,从而可以更明智地选择药物/肿瘤类型组合以供随后的体外测试使用。Predictive Oncology 拥有超过 150,000 份具有分析能力的异源人类肿瘤样本的庞大生物库,为其学术和行业合作伙伴提供了业界最广泛的基于人工智能的药物发现解决方案之一,其全资拥有的 CLIA 实验室和 GMP 设施也为之锦上添花。预测肿瘤学总部位于宾夕法尼亚州匹兹堡。

Investor Relations Contact
Tim McCarthy
LifeSci Advisors, LLC
tim@lifesciadvisors.com

投资者关系联系人
蒂姆·麦卡锡
LifeSCI 顾问有限责任公司
tim@lifesciadvisors.com

Forward-Looking Statements:
Certain matters discussed in this release contain forward-looking statements. These forward- looking statements reflect our current expectations and projections about future events and are subject to substantial risks, uncertainties and assumptions about our operations and the investments we make. All statements, other than statements of historical facts, included in this press release regarding our strategy, future operations, future financial position, future revenue and financial performance, projected costs, prospects, changes in management, plans and objectives of management are forward-looking statements. The words "anticipate," "believe," "estimate," "expect," "intend," "may," "plan," "would," "target" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Our actual future performance may materially differ from that contemplated by the forward-looking statements as a result of a variety of factors including, among other things, factors discussed under the heading "Risk Factors" in our filings with the SEC. Except as expressly required by law, the Company disclaims any intent or obligation to update these forward-looking statements.

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本新闻稿中讨论的某些事项包含前瞻性陈述。这些前瞻性陈述反映了我们当前对未来事件的预期和预测,并受有关我们的运营和投资的重大风险、不确定性和假设的影响。本新闻稿中有关我们的战略、未来运营、未来财务状况、未来收入和财务业绩、预计成本、前景、管理层变动、管理计划和目标的所有陈述,除历史事实陈述外,均为前瞻性陈述。“预期”、“相信”、“估计”、“期望”、“打算”、“可能”、“计划”、“将”、“目标” 等词语以及类似的表述旨在识别前瞻性陈述,尽管并非所有前瞻性陈述都包含这些识别词。由于多种因素,包括我们在向美国证券交易委员会提交的文件中 “风险因素” 标题下讨论的因素等,我们的实际未来表现可能与前瞻性陈述所设想的存在重大差异。除非法律明确要求,否则公司不承担任何更新这些前瞻性陈述的意图或义务。

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