Lantern Pharma Expands AI Capabilities of RADR® Platform to Accelerate the Clinical Development of Immune Checkpoint Inhibitors
- RADR® platform adds new AI capabilities for identifying effective combination therapy regimens for ICIs
- RADR® algorithms demonstrate 88% accuracy in predicting patient response to Elraglusib
- RADR® AI developments aim to overcome challenges in ICI treatment and improve patient survival
- Clinical trial failures pose challenges to expanding ICIs for broader range of cancers and patient groups
- Many ongoing clinical trials involving ICIs lack adequate biomarker strategies and AI guidance
- Expansion of RADR® platform adds new AI capabilities for the automated identification of new and effective combination therapy regimens for immune checkpoint inhibitors (ICI)
- Additional functionality includes the creation and testing of molecular signatures of ICI response and resistance with a highly scalable, machine-learning based system designed to improve ICI clinical trial outcomes
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Worldwide, ICIs generated
$41.5 billion $67.8 billion - Future ICI growth hinges on new approvals for novel ICI candidates and biomarker-guided strategies to position ICI combination regimens in new cancer indications, in earlier lines of treatment, and in historically difficult to treat populations
"We are expanding the functionality of our RADR® AI platform in ways that aim to solve the very meaningful and important challenges of future checkpoint inhibitor development. We initially began this effort by identifying meaningful combinations with checkpoint inhibitors that might be the most effective with our LP-184 and LP-284 drug candidates," stated Panna Sharma, Lantern’s CEO and President. "Our latest RADR® advancements add a new level of speed, scalability, and precision in the identification of rational combination therapies that have the potential to overcome known shortcomings of ICIs. The current clinical trial landscape of ICIs is at a critical juncture, with dozens of new indications being pursued. Unfortunately, the majority of these trials are unlikely to succeed unless the right cancer subtypes are pinpointed and unless the right combinations with other molecules are pursued. ICIs have the potential to benefit from the ability to predict which patient groups and which cancer subtypes will respond to the drug or drug combination, which is a fundamental part of our AI platform, RADR®, as we recently demonstrated in our collaborative 2023 ASCO poster.”
In a recent study presented at the 2023 ASCO meeting, RADR’s® algorithms demonstrated an
The continued growth of ICIs, especially the approval of new ICIs, will be predicated on: 1) efficiently identifying new biomarker or molecular signatures for optimal patient selection, stratification, and management, and 2) rapidly developing combination regimens that overcome treatment challenges facing current and emerging solid and hematological cancer indications. Lantern’s latest RADR® AI developments will focus on addressing these challenges by building automated and highly scalable computational analytics to generate clinically relevant tumor-specific and tumor-agnostic molecular signatures to guide the identification and development of drug combinations that can prolong ICI durability of response and improve patient survival. These developments will leverage RADR® to uncover molecular drivers of response and resistance influencing ICI treatment outcomes by coupling pathway and network-based analytics with the simultaneous screening of millions of targets from complex clinical and biological data sets. This capability will be powered by tens of billions of new data points from immunotherapy and checkpoint inhibitor studies that Lantern has begun to add to its RADR® platform.
Lantern plans to deploy its new RADR® ICI predictive module with biopharma partners and to identify potential combinatorial strategies for LP-184 and LP-284, the first of Lantern’s drug candidates developed internally with the assistance of the RADR® AI platform. The ICI market is projected to reach
About Lantern Pharma:
Lantern Pharma (NASDAQ: LTRN) is an AI company transforming the cost, pace, and timeline of oncology drug discovery and development. Our proprietary AI and machine learning (ML) RADR® platform leverages over 34 billion oncology-focused data points and a library of 200+ advanced ML algorithms to help solve billion-dollar, real-world problems in oncology drug development. By harnessing the power of AI and with input from world-class scientific advisors and collaborators, we have accelerated the development of our growing pipeline of therapies including eleven cancer indications and an antibody-drug conjugate (ADC) program. On average, our newly developed drug programs have been advanced from initial AI insights to first-in-human clinical trials in 2-3 years and at approximately
Our lead development programs include two Phase 2 clinical programs and multiple upcoming Phase 1 clinical trials anticipated for 2023. We have also established a wholly-owned subsidiary, Starlight Therapeutics Inc., to focus exclusively on the clinical execution of our promising therapies for CNS and brain cancers, many of which have no effective treatment options. Our AI-driven pipeline of innovative product candidates is estimated to have a combined annual market potential of over
Please find more information at:
Website: www.lanternpharma.com
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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; the potential advantages of our RADR® platform in identifying drug candidates and patient populations that are likely to respond to a drug candidate; our strategic plans to advance the development of our drug candidates and antibody drug conjugate (ADC) development program; estimates regarding the development timing for our drug candidates and ADC development program; expectations and estimates regarding clinical trial timing and patient enrollment; our research and development efforts of our internal drug discovery programs and the utilization of our RADR® platform to streamline the drug development process; our intention to leverage artificial intelligence, machine learning and biomarker 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; estimates regarding patient populations, potential markets and potential market sizes; sales estimates for our drug candidates and our plans to discover and develop drug candidates and to maximize their commercial potential by advancing such drug candidates ourselves or in collaboration with others. 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," "model," "objective," "aim," "upcoming," "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 risk that our research and the research of our collaborators may not be successful, (ii) 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, (iii) the risk that no drug product based on our proprietary RADR® AI platform has received FDA marketing approval or otherwise been incorporated into a commercial product, and (iv) those other factors set forth in the Risk Factors section in our Annual Report on Form 10-K for the year ended December 31, 2022, filed with the Securities and Exchange Commission on March 20, 2023. You may access our Annual Report on Form 10-K for the year ended December 31, 2022 under the investor SEC filings tab of our website at www.lanternpharma.com or on the SEC's website at 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.
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Nicole Leber
Investor Relations Associate
ir@lanternpharma.com
Source: Lantern Pharma Inc.
