Mediaboss Marketing

DALLAS, May 3, 2021 /PRNewswire/ --Lantern Pharma (NASDAQ: LTRN), a clinical stage biopharmaceutical company using its proprietary RADR artificial intelligence ("A.I.") platform to transform the cost, pace, and timeline of oncology drug discovery and development, announced today that it has entered into a research and development collaboration with Actuate Therapeutics. The collaboration will focus on leveraging the RADR machine learning technology, large-scale oncology datasets, and the A.I. platform to accelerate key aspects of Actuate's 9-ING-41 drug candidate, a best-in-class GSK-3 inhibitor in active development in multiple Phase 2 clinical trials, including for pancreatic cancer. The collaboration is expected to start immediately and will potentially generate novel intellectual property that will be jointly owned by the companies.

Daniel Schmitt, President and Chief Executive Officer of Actuate Therapeutics, commented, "Accelerating the development of 9-ING-41 by leveraging the latest techniques in machine learning and genomics has the potential to aid in bringing our life altering therapies to patients faster and with a greater degree of precision. We are committed to leveraging the latest advances in biomarker driven medicine and technology to advance our drug candidates in the most promising sub-types of cancer and in patients who may have the highest likelihood to benefit from our therapy." In a study published on February 23, 2021 in the journal Cancer Medicine, Dr. Jayson Parker from the University of Toronto and his co-authors provided systematic statistical evidence that biomarkers when used in patient stratification and monitoring in oncology clinical trials improve the likelihood of drug regulatory approvals by a factor of five.

Lantern Pharma recently announced that the RADRplatform had surpassed 4.6 billion datapoints and had advanced certain aspects of automation and machine learning as a result of the latest development campaign. The latest development campaign was aimed at improving the predictive power of the biomarker signatures created by RADR and the ability to potentially impact drug development in a broader range of solid tumor subtypes. Lantern expects that RADR will surpass 10 billion curated and tagged oncology datapoints over the next 12 months, which has the potential to make the platform even more useful across a broader range of cancer development and drug development or rescue programs.

Panna Sharma, CEO and President of Lantern Pharma, stated, "Companies like Actuate that are adopting methods that are at the forefront of this new era of data and A.I. guided drug development have the potential to conduct future clinical trials with biomarker signatures that have been generated at a fraction of the cost of traditional techniques. Using highly scalable machine-learning methods to guide drug development can potentially yield new biological insights, while also increasing response rates and improving outcomes in clinical trials."

Under the terms of the collaboration, Lantern Pharma will receive upfront equity in Actuate Therapeutics subject to meeting certain conditions of the collaboration, as well as development milestones in the form of additional equity if results from the collaboration are utilized in future development efforts. No further financial details were disclosed.

Contact

Marek Ciszewski, J.D.Director, Investor Relations628-777-3167[emailprotected]

About Actuate Therapeutics

Actuate Therapeutics, Inc. is a clinical stage pharmaceutical company focused on the development and commercialization of novel therapeutics for cancers and inflammatory diseases. For additional information, please visit the company'swebsite at http://www.actuatetherapeutics.com.

About Lantern Pharma

Lantern Pharma (Nasdaq: LTRN) is a clinical-stage oncology-focused biopharmaceutical company leveraging its proprietary RADR A.I. platform and machine learning to discover biomarker signatures that identify patients most likely to respond to its pipeline of genomically-targeted therapeutics. Lantern is currently developing four drug candidates and an ADC program across seven disclosed tumor targets, including two phase 2 programs. By targeting drugs to patients whose genomic profile identifies them as having the highest probability of benefiting from the drug, Lantern's approach represents the potential to deliver best-in-class outcomes. More information is available at: http://www.lanternpharma.com and Twitter @lanternpharma.

Forward-looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. These forward-looking statements include, among other things, statements relating to: future events or our future financial performance; our strategic plans to advance our collaboration with Actuate Therapeutics; the potential advantages of our RADR platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; the utilization of our RADR platform to streamline the drug development process; and our intention to leverage artificial intelligence, machine learning and genomic data to streamline and transform the pace, risk and cost of oncology drug discovery and development and to identify patient populations that would likely respond to a drug candidate. Any statements that are not statements of historical fact (including, without limitation, statements that use words such as "anticipate," "believe," "contemplate," "could," "estimate," "expect," "intend," "seek," "may," "might," "plan," "potential," "predict," "project," "target," "objective'" "aim," "should," "will," "would," or the negative of these words or other similar expressions) should be considered forward-looking statements. There are a number of important factors that could cause our actual results to differ materially from those indicated by the forward-looking statements, such as (i) the impact of the COVID-19 pandemic, (ii) the risk that our collaboration with Actuate Therapeutics may not be successful and may not yield meaningful results, (iii)the risk that no drug product based on our proprietary RADR A.I. platform has received FDA marketing approval or otherwise been incorporated into a commercial product, (iv) the risk that none of our product candidates has received FDA marketing approval, and we may not be able to successfully initiate, conduct, or conclude clinical testing for or obtain marketing approval for our product candidates, and (v) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2020, filed with the Securities and Exchange Commission on March 10, 2021. You may access our Annual Report on Form 10-K for the year ended December 31, 2020 under the investor SEC filings tab of our website at http://www.lanternpharma.com or on the SEC's website at http://www.sec.gov. Given these risks and uncertainties, we can give no assurances that our forward-looking statements will prove to be accurate, or that any other results or events projected or contemplated by our forward-looking statements will in fact occur, and we caution investors not to place undue reliance on these statements. All forward-looking statements in this press release represent our judgment as of the date hereof, and, except as otherwise required by law, we disclaim any obligation to update any forward-looking statements to conform the statement to actual results or changes in our expectations.

SOURCE Lantern Pharma

http://www.lanternpharma.com

Read the original here:
Lantern Pharma and Actuate Therapeutics Announce Research & Development Collaboration Leveraging Lantern's Artificial Intelligence Platform -...

Artificial intelligence seems to be the next big thing in many industries today. The technology is infiltrating every sector and transforming the tasks that computers perform into a lot of hype. Starting from fitness-focused smartphone apps that adapt to womens menstrual cycle to autonomous vehicles that use sensors and software to dodge at stray animals, artificial intelligence has influenced every part of human life. It has evolved from being just a trend to a core ingredient virtually across every aspect of computing. In the modern world, businesses across diverse sectors use artificial intelligence as a tool to meet their goals, be it customer service through an intuitive chatbot or streamlining video production through synthetic voiceovers. For a term that dates back to 1956 and celebrates its 65th birthday this year, artificial intelligence has performed and revolutionized more than how anybody imagined.

As years passed, humans gained great faith in technology and machines, which eventually accelerated artificial intelligence adoption. Today, the role of artificial intelligence in an enterprise has become so important that it has touched every facet of business, and its crucial place will significantly grow over the coming years. Artificial intelligence, though revolutionary in itself, is an enabler that needs to be used effectively to achieve business objectives. Businesses are using AI agents to engage customers, rapidly create content, analyze transactions and detect fraud. Even though it comes with a lot of flaws, the speediness, customized content, and target recommendations, overweigh the cons.

AI-driven technologies have the potential to enhance our lives as both learners and workers. Researchers and developers are continuously improving them to mimic human behaviors in routines like learning, problem-solving, and processing language. While they are growing to be strong imitators of humans, they still lack essential human traits such as wisdom, insight, humor, and empathy. Fortunately, the next generations AI will carry all the objectives that humans think are essential for machines to cope up with them. The technological capabilities will attempt to solve real-world issues, moving beyond doing repetitive and routine works.

While big guys like Amazon, Apple, Google, and Microsoft scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technologies and services. The rise of digitization and the thirst for automation are fuelling the demand for AI solutions. Not just companies, even the governments are focusing on deep research in the field of finding, investing, and growing local talent to make their country the AI hub. Artificial intelligence companies are also initiating to deliver a robust service to their customers by using sub-technologies like machine learning, deep learning, edge computing, business intelligence, etc. as their prominent business principle. In a nutshell, artificial intelligence is used as a tool to integrate multiple sources of data or a vast amount of data, data security, real-world applications, predictions, cloud operations, etc. With the arena of AI technologies at the beginning, the world has experienced so much so far. The future is anticipated to be more sophisticated and personalized with the help of artificial intelligence.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

Read this article:
Artificial Intelligence is the Most Disruptive Technology of the Century - Analytics Insight

In the legal world, and in particular the world of electronic discovery, artificial intelligence (AI) has been around for more than a decade. It is no longer unusual or controversial for organizations to use AI technologies in litigation, especially where large or complex data sets are involved. Legal teams now routinely turn to AI to defensibly accelerate the process of identifying documents likely to be responsive to requests for evidence.

Innovations like technology assisted review (TAR), for example, rely heavily on machine learning and natural language processing to make connections and identify patterns within a body of data in a matter of seconds. This is work that would take even the most qualified human reviewers many, many hours to do manually, and with less accuracy.

Apart from sheer computing power, one of the most useful features of AI technology like machine learning is its ability to quickly learn and continuously improve the accuracy of its outputs with the essentially passive assistance of human reviewers. In continuous active learning (CAL), now a feature of leading eDiscovery platforms, even the process of training machines to find what youre looking for is performed algorithmically with no direction from human document reviewers beyond the coding or labeling they perform in the process of manual review. This is a remarkably efficient and cost-effective way to teach machines to identify responsive information, and it has enormous potential for other vital corporate functions. A notable example is compliance.

The usefulness of active learning as a proactive compliance and information governance tool has only recently begun to be explored and appreciated. Across the corporate landscape, reactive approaches to potential problems hidden in data stores are far more commonand ultimately more costly and risky. Companies will typically wait until a whistleblower complains or an employee happens upon a potential problem, and then respond by launching an internal investigation.

AI technology can help your organization avoid this scenario. You can use it to:

This handful of examples represents only a small fraction of potential use cases for AI in compliance and governance activities. Every industry will present a different set of use cases. Nevertheless, enterprises in just about every vertical face daunting compliance challenges requiring the identification of data-based risks in vast repositories of structured and unstructured data. This data is generated by hundreds or thousands of applications operating within diverse and often poorly integrated systems. This is the kind of environment where AI shines.

If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes. As you run regular health checks, you will get a better understanding of your data and your approach to data-based compliance will be more proactive and cost-effective. That means fewer investigations in response to potential issues and, in many cases, less litigation overall.

About the Author

David Carns is the Chief Revenue Officer of Casepoint. He joined Casepoint as a Director of Client Services in 2010, rose the ranks to Chief Strategy Officer until his most recent promotion in 2019. In addition to being a recovering attorney, David possesses a lifelong passion for technology and its advancements. His career has always found him at the intersection of technology and the legal field given his intimate knowledge of both. Carns holds a Juris Doctorate from The John Marshall Law School and a Bachelors degree in Philosophy from DePauw University.

Sign up for the free insideBIGDATAnewsletter.

Join us on Twitter:@InsideBigData1 https://twitter.com/InsideBigData1

More:
Using Artificial Intelligence Tools to Run Proactive Health Check Investigations - insideBIGDATA

SEATTLE, May 3, 2021 /PRNewswire-PRWeb/ -- Zonar, the leader in smart fleet technology, today announced it has been named an award winner in the Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence programs.

The Artificial Intelligence Excellence program recognizes organizations, products and people bringing artificial intelligence (AI) to life and applying it to solve real problems. Zonar Coach, a smart dashcam with real-time, in-cab coaching, has upheld commercial trucking safety standards by utilizing AI to detect distracted driving behaviors and keep truck drivers safe on the road.

"We are so proud to name Zonar as a winner in our inaugural Artificial Intelligence Excellence Awards program," said Maria Jimenez, chief nominations officer for Business Intelligence Group. "It was clear to our judges that Zonar was using AI to improve the lives of its customers and employees. Congratulations to the entire team."

The Excellence in Customer Service program celebrates companies achieving business success and growth by supporting their own customers and those who are developing the tools to help others find success. Zonar's dedicated customer success team is responsible for relationship building and management with customers. While most other companies in the industry provide a base-level customer support system, Zonar goes above and beyond to provide concierge-level service to all customers.

"On the frontline of our uncertain times are customer service professionals and suppliers without whom we wouldn't be able to live as comfortably as we have for the last year," Jimenez said. "It is our honor to recognize Zonar for leading by example and making real progress on improving the daily lives of so many."

Organizations from across the globe submitted their recent innovations and best practices for consideration. Nominations were then judged by a select group of business leaders and executives who volunteer their time and expertise to score submissions.

"Zonar's commitment to industry innovation and support is transformative. We are setting the bar high and seeing success through understanding our customer's top priorities and challenges," said Michael Gould, chief operating officer at Zonar. "We are thrilled to be recognized for technology that is keeping drivers safe on the road and exemplifying what it means to truly offer exceptional customer support."

Earlier this year, Zonar was also honored by Business Intelligence Group in its BIG Innovation Awards for its efforts to increase digitization in vocational, pupil transportation, mass transit and commercial trucking industries over the past 20 years.

Founded in 2001, Zonar has pioneered smart fleet management solutions throughout vocational, pupil, mass transit and commercial trucking industries. Zonar's mission is to enhance the safety, performance and success of our customers by transforming the delivery of innovative insights for commercial fleets around the world. Zonar achieves this by helping fleets of all sizes maximize the use of their assets with solutions dedicated to improving compliance, efficiency, maintenance, ridership visibility, safety and tracking. Cloud-based services with open APIs drive Zonar's smart fleet solutions by making it easy for fleet owners and managers to stay connected to their fleets and drivers and operators to dispatch. Headquartered in Seattle and majority-owned by technology company Continental, Zonar also has a Technology Development Center in downtown Seattle, a regional office in Cincinnati, and a distribution center outside of Atlanta. For more information about Zonar, go to http://www.zonarystems.com

About Business Intelligence Group

The Business Intelligence Group was founded with the mission of recognizing true talent and superior performance in the business world. Unlike other industry award programs, these programs are judged by business executives having experience and knowledge. The organization's proprietary and unique scoring system selectively measures performance across multiple business domains and then rewards those companies whose achievements stand above those of their peers.

Read the rest here:
Zonar Named Winner in Business Intelligence Group's 2021 Excellence in Customer Service and Artificial Intelligence Excellence Awards - goskagit.com

Artificial Intelligence in Information Technology How Does the Picture Look Like?

The world we live in today is so difficult to imagine without technology. All these years we have heavily relied on Artificial intelligence (AI) and Information Technology (IT). Gone are the days when advanced technologies were considered to be a distant reality and that bringing them to life would take decades. Today, we get to see wide application of all this in every sector possible, be IT in the manner how day-to-day tasks are performed to detecting frauds, and bringing in advanced methods for research purposes. With AI and IT, we have not just accomplished tasks that were considered way out of our league but also saved a lot of time.

AI and IT go hand in hand. The manner in which AI has had an impact on how the IT sector functions over the years is phenomenal. Since we have now reached a stage wherein our life revolves around data and technology, IT is very much expected that the coming years would see a lot more implementation of the same. As per the statistics, AI market is expected to reach$190 billion by 2025.

AI has always been appreciated for having left a positive impact on IT. Heres how-

Automation When the context is AI, how can one not talk about automation? With AI in place, human involvement has either reduced drastically or has come down to zero thanks to the power of automation by virtue of AI. As far as IT is concerned a lot of backend processes can be automated that further result in cost-saving and minimizing human hours as well.

Enhanced productivity As AI makes use of a set of algorithms, IT has become all the more convenient for programmers to identify software bugs while writing code. The advancement has reached a stage wherein certain AI forms have catered to providing suggestions as far as coding is concerned. This further paves the way for the increase in efficiency and thus productivity. Now that bugs are identified in the initial stage itself, no doubt, a lot of time is saved. The future will see improved AI-enabled methods as the algorithms would be able to learn from their mistakes and improve their effectiveness.

Security Data is resent in massive amounts and keeps increasing with every passing day. Since, data is extremely precious, ensuring its security is always a priority. A lot of IT organizations, government bodies, etc. deal with tons of data on a daily basis. Following this, IT becomes very important to deploy algorithms that ensure that the data is secure. Artificial intelligence comes to the rescue. IT holds the potential to provide protection in order to create a high-security layer. AI is capable enough of not just identifying the threats to the data but also provide the needed solutions for the same.

Quality assurance This is one such area that IT engineers cannot overlook. AI methodologies serve to be no less than a saviour here.

Let us now address the main question of interest. Is AI worth investing in? Well, AI has served in a variety of aspects in a wide range of industries. Right from automation in the form of sending reminders, detecting frauds, monitoring traffic to assisting in medical operations, AI has got you covered. AI has made IT easier than ever in handling mundane and repetitive tasks. IT is because of AI that a lot of time is saved as a human intervention has gone down drastically.

Yet another reason as to why IT companies could rely on AI is because of AIs ability to deliver personalized user experience. Right from providing recommendations to answering questions, AI has done IT all.

Though implementing AI is not that an easy task, IT is definitely not difficult to the extent that IT is not worth giving IT a miss. Though the process is a little complex and expensive, the results delivered in the end would be worth IT all. However, for that to happen, IT is important that the organizations realize how positively AI can impact the business. Also, IT is seen that not all companies out there have professionals good enough to handle AI. This is an area to address. IT is important that the whole organization unites and understand the importance of AI to implement IT better.

As far as Artificial intelligence in the Information Technology sector is concerned, IT is transforming IT by making IT more efficient and effective.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Originally posted here:
Artificial Intelligence in Information Technology How Does the Picture Look Like? - Analytics Insight