Predictive Oncology (NASDAQ: POAI) is focused on the use of data and artificial intelligence (AI) to develop personalized cancer therapies, which can lead to more effective treatments and improved patient outcomes. The company has several tools that support its mission of bringing precision medicine to the diagnosis of cancer.
Through its subsidiaries, Predictive Oncology's portfolio of assets includes the following:
Using these resources, and in collaboration with key players in the pharmaceutical, diagnostic and biotech industries Predictive Oncology is working to determine the best pathways for more individualized and effective cancer treatment.
Subsidiaries
Predictive Oncology leverages the synergies of its three wholly owned subsidiaries to bring precision medicine to the diagnosis of cancer.
Helomics applies artificial intelligence to its rich data gathered from the company's trove of more than 150,000 tumors to personalize cancer therapies for patients as well as drive the development of new targeted therapies in collaborations with pharmaceutical companies. This database, the largest of its kind in the world, is comprised of ovarian, head and neck, colon and pancreas tumors. Helomic's CLIA-certified lab provides clinical testing that assists oncologists in individualizing patient treatment decisions, by providing an evidence-based roadmap for therapy.
In addition to its proprietary precision oncology platform, Helomics offers boutique CRO services that leverage its TruTumor™ patient-derived tumor models coupled to a wide range of multi-omics assays (genomics, proteomics and biochemical), and an AI-powered proprietary platform (D-CHIP) to provide a tailored solution to its clients' specific needs.
TumorGenesis is developing a new, rapid approach to growing tumors in the laboratory without the use of rats or mice, allowing for the identification of biomarkers indicative of cancer. This methodology "fools" the tumor into thinking it is still in the body. As a result, the tumor reacts as it naturally would, thereby increasing the accuracy of the biomarker. Once the biomarkers are identified, they can be used in TumorGenesis' Oncology Capture Technology Platforms which isolate and helps categorize an individual patient's heterogeneous tumor samples to enable development of patient-specific treatment options.
Skyline Medical's patented, FDA-cleared STREAMWAY® System is the first true, direct-to-drain fluid disposal system designed specifically for medical applications such as radiology, endoscopy, urology and cystoscopy procedures. The STREAMWAY system is changing the way healthcare facilities collect and dispose of potentially infectious waste fluid by connecting directly to a facility's plumbing system to automate the collection, measurement and disposal of waste fluids.
The STREAMWAY minimizes human intervention for better safety and improves compliance with Occupational Safety and Health Administration (OSHA) and other regulatory agency safety guidelines. The STREAMWAY eliminates canisters, carts and evacuated bottles, which reduces overhead costs and minimizes environmental impact by helping to eliminate the approximately 50 million potentially disease-infected canisters that go into landfills annually in the United Sates.
Skyline has achieved sales in five of the seven continents through both direct sales and distributor partners.
Competitive Advantage
Precision medicine has become the holy grail of cancer therapeutics. Data driven predictive models of tumors and their responses are critical in both new drug development and individualized patient treatment. The race has begun to model various tumors, which takes 5 to 7 years of clinical evaluation to establish historical and outcome data.
Predictive Oncology enjoys significant competitive advantage. The company already has a vast historical collection of tumors and related data, plus the ability to obtain existing associated outcome data. While others wait for outcome data, Predictive Oncology is in a unique and powerful position, working to deliver the promise of precision medicine to reality. Predictive Oncology already has the clinical data, including how a tumor responded to certain drugs, an in-house bioinformatics AI platform, and only needs to do the tumor sequencing. The significance is underscored by the collaboration with UPMC Magee-Women's Hospital, designed to reveal which mutations responded to which drug then develop powerful predictive models for future testing and treatment.
Leadership Team
J. Melville ("Mel") Engle, Chairman and CEO of Predictive Oncology, has over 20 years' experience in leadership roles in both the biotechnology and healthcare industries. Mr. Engle was previously the CEO of Engle Strategic Solutions, a practice specializing in consulting and coaching for CEOs and business owners. Prior to starting his consulting practice in 2012, Mr. Engle served as CEO of Thermogenesis, a Nasdaq-listed company. In 2002, Mr. Engle was recruited by Merck KGaA to serve as President and CEO of Dey L.P, a division of Merck, where he played an instrumental role in increasing sales from $250 million to over $600 million during his tenure. From 1980 to 1994, Mr. Engle served as a senior executive with Allergan Inc., which marketed branded eye care pharmaceuticals, surgical and diagnostic equipment, dermatological products and Botox.
CFO Bob Myers has over 30 years of experience in multiple industries focusing on medical device service and manufacturing. He has spent much of his career as a CFO and controller. Myers holds an MBA in Finance from Adelphi University and a BBA in public accounting from Hofstra University.
Dr. Mark Collins, Chief Information Officer of Helomics, has held multiple executive roles in a variety of discovery, informatics and bioinformatics functions within global pharma, and founded three startup software companies in the machine learning and drug discovery space. In 2001, Dr. Collins worked for Cellomics (now part of Thermo Fisher Scientific), where he played a pivotal role in establishing the High-Content Cell Analysis market, building and commercializing several key informatics and bioinformatics products. After leaving Thermo Fisher, Dr. Collins developed and commercialized informatics solutions for clinical and translational research, specifically in the specimen tracking, omics data management and NGS analysis space, through key roles at BioFortis, Global Specimens Solutions and Genedata. Dr. Collins received his undergraduate degree in Applied Science from the University of Wolverhampton, UK and his Ph.D. in Microbiology from the University of Surrey, UK.
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