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Predictive Oncology Inc. Announces $3.5 Million Private Placement

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MINNEAPOLIS, March 16, 2020 (GLOBE NEWSWIRE) — Predictive Oncology Inc. (NASDAQ: POAI) (“Predictive Oncology” or “the Company”), a data and artificial intelligence (“AI”) driven discovery services company that provides predictive models of tumor drug response to improve clinical outcomes for patients, today announced that it has entered into a securities purchase agreement with certain accredited investors to raise $3.5 million through the issuance of up to 1,650,165 shares of common stock (or common stock equivalents) and accompanying warrants to purchase an aggregate of up to 3,300,330 shares of common stock at $2.121 per share of common stock and accompanying warrants. The warrants will be exercisable immediately at an exercise price of $1.88 per share, with one-half of the warrants to expire two years after the date of issuance, and one-half to expire five and one-half years after the date of issuance.
The closing of the private placement is subject to the satisfaction of certain customary closing conditions set forth in the securities purchase agreement.The Company intends to use the net proceeds for general corporate purposes.H.C. Wainwright & Co., LLC acted as the sole placement agent for the offering.The offer and sale of the foregoing securities are being made in a transaction not involving a public offering and have not been registered under the Securities Act of 1933, as amended (the “Securities Act”), or applicable state securities laws. Accordingly, the securities may not be reoffered or resold in the United States except pursuant to an effective registration statement or an applicable exemption from the registration requirements of the Securities Act and such applicable state securities laws.Under an agreement with the investors, the Company is required to file an initial registration statement with the Securities and Exchange Commission covering the resale of the shares of common stock to be issued to the investors no later than thirty days after the closing and to use best efforts to have the registration statement declared effective as promptly as practical thereafter, and in any event no later than 90 days after today in the event of a “full review” by the Securities and Exchange Commission.This press release does not constitute an offer to sell or the solicitation of an offer to buy any securities, nor shall there be any sale of the securities in any state in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of such state.About Predictive Oncology Inc.Predictive Oncology (Nasdaq: POAI) operates through three segments (Domestic, International and other), which contain four subsidiaries; Helomics, TumorGenesis, Skyline Medical and Skyline Europe. Helomics applies artificial intelligence to its rich data gathered from patient tumors to both personalize cancer therapies for patients and drive the development of new targeted therapies in collaborations with pharmaceutical companies. Helomics’ 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 bioinformatics platform to provide a tailored solution to its clients’ specific needs. Predictive Oncology’s TumorGenesis subsidiary is developing a new rapid approach to growing tumors in the laboratory, which essentially “fools” cancer cells into thinking they are still growing inside a patient. Its proprietary Oncology Discovery Technology Platform kits will assist researchers and clinicians to identify which cancer cells bind to specific biomarkers. Once the biomarkers are identified they can be used in TumorGenesis’ Oncology Capture Technology Platforms which isolate and help categorize an individual patient’s heterogeneous tumor samples to enable the development of patient specific treatment options. Helomics and TumorGenesis are focused on ovarian cancer. Predictive Oncology’s Skyline Medical division markets its patented and FDA cleared STREAMWAY System, which automates the collection, measurement and disposal of waste fluid, including blood, irrigation fluid and others, within a medical facility, through both domestic and international divisions. The company has achieved sales in five of the seven continents through both direct sales and distributor partners. For more information, please visit www.predictive-oncology.com.Forward-looking StatementsCertain 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. Such risks and uncertainties include (i) the Company’s inability to consummate the private placement due to the failure of one or more closing conditions set forth in the securities purchase agreement to be satisfied, (ii) risks associated with general economic and market conditions, (iii) 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; (iii) 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 (iv) 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 SEC, which are available for review at www.sec.gov. This is not a solicitation to buy or sell securities and does not purport to be an analysis of Predictive’s financial position. See Predictive’s most recent Annual Report on Form 10-K, and subsequent reports and other filings at www.sec.gov.Contact:Bob Myers
651-389-4800
[email protected]

 

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Artificial Intelligence

GEEKOM releases a perfect mini PCs with dual 2.5Gbps Ethernet ports – GEEKOM GT1 MEGA

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TAIPEI, Sept. 20, 2024 /PRNewswire/ — GEEKOM, a Taiwanese tech company also known as the Green Mini PC Global Leader, recently released a strong lineup of flagship mini PCs with Intel Core Ultra processors and dual Ethernet ports, making it possible for users to enjoy impeccable performance and superb networking functionalities at the same time.

One of these mini PCs is the GEEKOM GT1 Mega, which employs a beautiful aluminum chassis with plenty of I/O, including two full-function 40Gbps USB4 Type-C, six USB Type-A, 2 HDMI2.0, a 3.5mm audio jack, an SD card reader and dual Ethernet ports. The two Ethernet jacks are both of 2.5Gbps standard, which not only delivers high-speed and reliable internet connection for people’s daily computing chores, but also enables the mini PC to serve more sophisticated networking functionalities as a soft router, a virtual machines, a hardware firewall, or even a home server. Besides, dual Ethernet ports can separate internal and external network connections, providing logical and physical separation of trusted and untrusted network traffic and keeping data safe from potential cyber-attacks.
The GT1 Mega is powered by Intel’s latest and smartest Core™ Ultra processor (up to CoreTM U9-185H) and dual-channel DDR5-5600MHz RAM. Thanks to the new CPU, GPU, and NPU three tier multi-processing architecture, the mini PC is ready to harness the superpowers of Artificial Intelligence. It is compatible with more than 500 AI models across 20+ categories and supports high-performance low-power processing in a wide range of computing scenarios, which include enhancing facial features and blurring the background during video calls, removing the vocals from songs to create karaoke tracks, and generating large-scale images based on texts or voice commands. Basically, the GT1 Mega allows users to finish tasks that used to take hours or even days through only a few keystrokes!
The GEEKOM GT1 Mega,is now available on GEEKOM’s official website.
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Artificial Intelligence

Lucinity Partners with Sift for Unified Fraud and AML Case Management

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SAN FRANCISCO, Sept. 19, 2024 /PRNewswire/ — Lucinity and Sift have announced a partnership, unifying fraud and Anti-Money Laundering (AML) into Lucinity’s integrated FinCrime compliance platform for case management, agent-enabled workflow automation, and Generative AI.

Sift is an AI-powered fraud platform securing digital trust for leading global businesses. Its Global Data Network analyzes more than 1 trillion events and identity signals per year to prevent fraud across the entire consumer journey. Lucinity and Sift formed this new partnership to address the challenges of fragmented fraud and AML systems, aiming to centralize and enhance financial crime investigations.
Sift’s AI-powered solution will now be integrated into Lucinity’s platform. This collaboration enhances Lucinity’s ability to provide a seamless and efficient compliance solution. It allows teams to review and manage fraud alerts more effectively through Lucinity’s unified Case Management system, thanks to the native integration between the systems. Key benefits to Lucinity’s users include:
Real-Time Fraud Screening: Payments are screened for potential fraud in real time, utilizing Sift’s fraud detection capabilities.Automatic Payment Holds: Payments suspected of fraud are temporarily held, ensuring verification before processing.Streamlined Reviews: Compliance teams can conduct thorough reviews of flagged payments within Lucinity’s Case Management solution.Risk Level Adjustments: Fraud detection parameters can be customized to adjust sensitivity levels, adapting to emerging fraud trends and risk appetites.This partnership also enables users to leverage Lucinity’s Generative AI capabilities through the Luci copilot to investigate fraud cases more efficiently.
Udi Nessimyan, President and Chief Revenue Officer of Lucinity, comments, “One of the greatest challenges in fighting financial crime is fragmented systems and data. Our partnership with Sift helps address this challenge by providing a centralized platform for various case types, including AML, fraud, sanctions, and ad hoc cases. Our collaboration significantly enhances the productivity of investigation teams, reducing the time spent on cases from hours to minutes.”
Sift’s Chief Marketing Officer, Armen Najarian, emphasizes the collaborative effort to enhance financial crime prevention, stating, “Cybercriminals are increasingly leveraging AI to bypass traditional anti-money laundering and fraud controls, creating sophisticated and dynamic threats. To combat these evolving risks, companies must adopt a ‘fight fire with fire’ approach by leveraging AI-powered solutions. Through Sift’s partnership with Lucinity, businesses can stay ahead of fraudsters, ensuring robust protection against abuse and enabling fearless growth.”
About Sift: https://sift.com About Lucinity: https://lucinity.com
Media contact:Celina [email protected] +354 792 4321

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Artificial Intelligence

Employee Background Check Software Market Size to Grow USD 828.8 Million by 2030 at a CAGR of 4.9% | Valuates Reports

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BANGALORE, India, Sept. 19, 2024 /PRNewswire/ — Employee Background Check Software Market is Segmented by Type (Cloud-Based, On Premises), by Application (SMEs, Large Enterprises): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The Global Employee Background Check Software Market was valued at USD 587 Million in 2023 and is anticipated to reach USD 828.8 Million by 2030, witnessing a CAGR of 4.9% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Employee Background Check Software Market:
The employee background check software market is growing due to increasing demands for secure hiring processes and regulatory compliance, especially in industries such as finance, healthcare, and IT. As companies look to reduce risks associated with fraud, legal liabilities, and workplace safety, background checks are becoming a critical part of recruitment processes. The rise of remote work has further accelerated the need for digital solutions. However, challenges include concerns over data privacy and varying legal frameworks across regions, which may slow adoption in some areas.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET:
Cloud-based background check software is gaining traction due to its scalability, remote access, and cost-effectiveness. With cloud-based systems, businesses can streamline their hiring processes, particularly when operating across multiple locations. The ability to access data and conduct checks in real-time is highly valuable for organizations managing large workforces or remote employees. The flexibility and lower upfront investment of cloud-based solutions make them popular among businesses seeking efficient and adaptable systems for their recruitment processes.
On-premises solutions remain important for organizations with strict security and data control requirements, such as those in government, defense, or finance. These companies often need complete ownership of their data, which on-premises software offers, reducing the risk of external breaches. Although it requires significant upfront investment and maintenance, on-premises software provides a high level of customization and security. It’s especially useful for businesses dealing with sensitive information and industries where compliance with local data protection laws is critical.
Large enterprises, particularly those operating in regulated industries like banking and healthcare, are the major adopters of employee background check software. These organizations deal with large volumes of hires, making streamlined background checks essential for compliance and operational efficiency. The ability to integrate background check systems with existing HR tools, such as applicant tracking systems, allows large companies to manage their recruitment processes more effectively. The need for comprehensive and accurate background checks is crucial for mitigating risk and ensuring legal compliance.
The rise in remote working has increased the demand for background check software that allows companies to vet employees regardless of their location. Digital background checks, particularly cloud-based ones, make it easier for organizations to screen remote workers efficiently. This trend is expected to continue as more companies adopt hybrid or fully remote work models, where geographical barriers no longer restrict talent acquisition but require thorough and remote-friendly verification processes.
As regulatory frameworks for employment practices become more stringent globally, businesses are increasingly relying on background check software to ensure compliance. Laws like the General Data Protection Regulation (GDPR) in Europe and the Fair Credit Reporting Act (FCRA) in the U.S. have made it mandatory for companies to conduct background checks within specific legal parameters. This has led to increased demand for software solutions that can automate these processes while maintaining compliance with regional and international laws.
A major trend in the employee background check software market is the integration of these solutions with human resources management systems (HRMS). Integrating background checks with HR software streamlines the hiring process by consolidating background checks, employee records, and onboarding into one system. This improves operational efficiency for businesses, particularly large enterprises that handle significant recruitment volumes. Integration with HRMS allows for real-time updates, making background screening an even more integral part of the hiring process.
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EMPLOYEE BACKGROUND CHECK SOFTWARE MARKET SHARE
North America dominates the market due to stringent employment regulations and widespread adoption across industries. Europe is another key region, driven by GDPR compliance and demand in finance and healthcare. The Asia-Pacific region is experiencing rapid growth due to increasing awareness of the importance of background checks, especially in countries like China and India, where digital hiring platforms are becoming more popular. The market is also expanding in the Middle East and Africa as businesses prioritize secure hiring practices.
Key Companies:
HireRightGoodHireCheckrSterlingHireologyINTELIFIGood EggPeopleG2VitayCertnGlobal HR ResearchVeritable ScreeningXrefZincPaycomADPVICTIGIntelliCorp (Cisive)SpringVerifyAsurintUniversalAssureHireVerified FirstHireSafePurchase Chapters: https://reports.valuates.com/request/chaptercost/QYRE-Auto-2A10579/Global_Employee_Background_Check_Software 
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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!
–  Employer of Record Services market was valued at USD 128.2 Million in 2023 and is anticipated to reach USD 196 Million by 2030, witnessing a CAGR of 6.8% during the forecast period 2024-2030.
–  Employee Engagement Platform market was valued at USD 805 Million in 2023 and is anticipated to reach USD 2217.4 Million by 2030, witnessing a CAGR of 15.5% during the forecast period 2024-2030.
–  Employee Advocacy Platforms market was valued at USD 533 Million in 2023 and is anticipated to reach USD 1020.8 Million by 2030, witnessing a CAGR of 9.7% during the forecast period 2024-2030.
–  Employee Feedback Software market is projected to grow from USD 499.5 Million in 2024 to USD 1287.8 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period.
–  Employee Productivity Tracking Software market is projected to reach USD 311.8 Million in 2029, increasing from USD 219 Million in 2022, with the CAGR of 5.2% during the period of 2023 to 2029.
–  Employee Feedback Software market is projected to grow from USD 499.5 Million in 2024 to USD 1287.8 Million by 2030, at a Compound Annual Growth Rate (CAGR) of 17.1% during the forecast period.
–  Employee Rewards and Recognition Software Market
–  Employee Productivity Monitoring Software Market
–  Employee Recognition Software market was valued at USD 2247 Million in 2023 and is anticipated to reach USD 4186.4 Million by 2030, witnessing a CAGR of 8.9% during the forecast period 2024-2030.
–  Employee Lockers Market
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To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains a detailed research methodology employed to generate the report. Please also reach our sales team to get the complete list of our data sources.
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