Predictive Oncology Inc. Signs Letter of Intent to Acquire Quantitative Medicine (qtmed.com) and an AI Engine™ (CoRE™) that Facilitates Accelerated Drug Discovery and Development
QM is a biomedical analytics and computational biology company, founded by Dr.
Predictive Oncology’s Helomics division has built an AI knowledgebase of drug response profiles from over 150,000 cancer cases, Using AI to leverage that data the information can now be integrated with CoRE to build robust predictive models of how specific types of tumors will react to cancer drug therapies.
“Our goal is to provide researchers in pharma, biopharma and diagnostic companies’ with actionable insights that will not only drive the development of new precision therapies, companion diagnostics, and biomarkers, but will also help them design better targeted trials,” concluded Schwartz. “Working together, we have the potential to dramatically improve patient outcomes.” The transaction is expected to complete in Q1-2020.
Completion of the transaction, which is expected to be completed in the first two quarters of 2020, is subject to the negotiation of a definitive agreement and other terms and conditions.
Quantitative Medicine is a biomedical analytics and computational biology company offering a novel drug discovery platform which dramatically reduces the time, cost and financial risk of discovering new therapeutic drugs by predicting: the main effects of drugs on target molecules that mediate disease; the effects of drugs on other molecules or pathways in the body that could mediate adverse effects; as well as the interaction of these with underlying genetic variations. The platform identifies similarities in relationships of drug candidates screened against a diverse matrix of pathogenic, cellular, molecular and/or systems biology targets. By iteratively adding new data from other existing research or additional experiments, the predictive model is improved. More accurate predictions can be made for previously unobserved effects of putative compounds on target molecules. “Because of the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug discovery and development."
Certain of the matters discussed in the press release contain forward-looking statements that involve material risks to and uncertainties in the Company’s business that may cause actual results to differ materially from those anticipated by the statements made herein. Risks and uncertainties relating to a transaction with Quantitative Medicine include no assurance that a transaction will be completed or, if completed, no assurance that the acquisition of Quantitative Medicine would result in anticipated benefits. Further, the acquisition could involve unanticipated costs, distractions to Company management or other risks or adverse effects, and any issuance of equity securities in the transaction would result in dilution to the Company’s stockholders, which may be significant. Other risks and uncertainties regarding the Company’s securities include (i) risks related to the recent merger with Helomics, including the fact that the combined company will not be able to continue operating without additional financing; possible failure to realize anticipated benefits of the merger; costs associated with the merger may be higher than expected; the merger may result in disruption of the Company’s and Helomics’ existing businesses, distraction of management and diversion of resources; and the market price of the Company’s common stock may decline as a result of the merger; (ii) risks related to our partnerships with other companies, including the need to negotiate the definitive agreements; possible failure to realize anticipated benefits of these partnerships; and costs of providing funding to our partner companies, which may never be repaid or provide anticipated returns; and (iii) other risks and uncertainties relating to the Company that include, among other things, current negative operating cash flows and a need for additional funding to finance our operating plan; the terms of any further financing, which may be highly dilutive and may include onerous terms; unexpected costs and operating deficits, and lower than expected sales and revenues; sales cycles that can be longer than expected, resulting in delays in projected sales or failure to make such sales; uncertain willingness and ability of customers to adopt new technologies and other factors that may affect further market acceptance, if our product is not accepted by our potential customers, it is unlikely that we will ever become profitable; adverse economic conditions; adverse results of any legal proceedings; the volatility of our operating results and financial condition; inability to attract or retain qualified senior management personnel, including sales and marketing personnel; our ability to establish and maintain the proprietary nature of our technology through the patent process, as well as our ability to possibly license from others patents and patent applications necessary to develop products; Predictive’s ability to implement its long range business plan for various applications of its technology; Predictive’s ability to enter into agreements with any necessary marketing and/or distribution partners and with any strategic or joint venture partners; the impact of competition, the obtaining and maintenance of any necessary regulatory clearances applicable to applications of Predictive’s technology; and management of growth and other risks and uncertainties that may be detailed from time to time in the Company’s reports filed with the
Source: Predictive Oncology Inc.