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Predictive Oncology’s Strategic Moves: What’s Next?

Jack KelloggAvatar
Written by Jack Kellogg
Updated 3/25/2025, 9:18 am ET 5 min read

Predictive Oncology Inc.’s remarkable stock surge on Tuesday, trading up by 94.62 percent, likely stems from its strategic partnership initiative, as the company capitalizes on AI-driven solutions in oncology.

Merger with Renovaro Biosciences

  • Predictive Oncology is finalizing a merger with Renovaro Biosciences, backed by new funding aimed at integrating AI and machine learning platforms in Europe and the US. This expansion could enhance their technology and business growth potential significantly, as the merger promises increased resources and opportunities.

Candlestick Chart

Live Update At 09:18:09 EST: On Tuesday, March 25, 2025 Predictive Oncology Inc. stock [NASDAQ: POAI] is trending up by 94.62%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Asset Sale for Strategic Realignment

More Breaking News

Predictive Oncology recently sold its Skyline Medical assets to DeRoyal Industries. As millionaire penny stock trader and teacher Tim Sykes says, “Consistency is key in trading; don’t let emotions dictate your trades.” This move reflects a strategic shift towards prioritizing AI and machine learning in drug discovery and development, signaling a pivot in focus that aligns with the evolving technological landscape in oncology. It seems Predictive Oncology is applying a similar discipline to its business strategy, emphasizing consistency and a data-driven approach in navigating the competitive field.

AI Driven Drug Discovery

  • With a focus on AI-driven drug discovery, Predictive Oncology attracts financing for strategic acquisitions that may revolutionize cancer treatment and diagnostics. The recent advancements could position the company as a leader in AI applications for the healthcare industry.

Financial Health and Performance Snapshot

In the latest financial reports, Predictive Oncology’s figures showed mixed results. The company reported a revenue of approximately $1.78M. However, profitability indicators were challenging, with an EBIT margin and profit margin reflecting substantial negative values. This financial landscape could be attributed to the company’s aggressive investment in AI and technology development.

Though the valuation measures are not very favorable at first look, with a high price to sales ratio coupled with low free cash flow, it’s essential to recognize the underlying strategy aimed at long-term growth through innovation. The recent asset turnover rate has been low, indicating room for improvement in utilizing assets effectively.

The financial reports revealed total expenses of $2.65M against an operating revenue of $345,686, highlighting the need to bolster revenue streams. Despite these hurdles, the strategic partnership with Renovaro and asset streamlining efforts suggest a tactical rerouting towards more promising ventures.

Insights from Recent Developments and Stock Performance

The recent upswing in POAI’s stock price can be attributed to strategic moves like the merger with Renovaro Biosciences and asset realignment. These endeavors denote a focus on leveraging artificial intelligence and fostering significant advancements in cancer treatment methodologies.

The market has reacted positively to the news of the merger, which suggests optimism about the potential success of the integrated AI platforms. Furthermore, the asset sale to DeRoyal Industries is seen as a strategic decision enabling the company to concentrate efforts on core competencies and innovation.

The stock chart data supports this narrative; the prices depicted an upward trajectory following the announcements, with notable fluctuations due to broader economic conditions. This pattern suggests a market perception of Predictive Oncology as an evolving player with transformative projects, potentially leading to a robust recovery in their financial position.

However, the path forward requires careful management of financial health, particularly in converting technological investments into profitable ventures. The strategic focus on AI-driven innovations positions the company well, but managing current liabilities and debt will be crucial to sustaining growth.

As millionaire penny stock trader and teacher Tim Sykes, says, “Small gains add up over time; focus on building wealth gradually, not chasing jackpots.” This quote reminds traders to focus on sustainable growth through strategic moves and gradual progress.

The journey of Predictive Oncology is a vivid example of a company steering its course through innovation and strategic moves. While financial hurdles appear challenging, the planned merger and focus on AI integration herald a promising future. Balancing the books and converting strategic visions into reality hold key for Predictive Oncology’s sustained progress and trader confidence.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

Dive deeper into the world of trading with Timothy Sykes, renowned for his expertise in penny stocks. Explore his top picks and discover the strategies that have propelled him to success with these articles:

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Jack Kellogg

He teaches webinars on Tim Sykes’ Trading Challenge He became Tim’s youngest millionaire student in 2020. Now he’s second on the Trading Challenge leaderboard with $12.9 million in career earnings. He’s a master of the 7-Step Pennystocking Framework. Jack is one of a rare breed of traders to profitably trade the entire penny stock framework.
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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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