Lantern Pharma Launches AI Module to Predict Cancer Treatment Efficacy
TL;DR
Lantern Pharma's new AI module gives investors an edge by predicting cancer treatment success, potentially accelerating drug development and increasing clinical trial success rates.
The AI module analyzes 200 billion data points using machine learning to predict effectiveness of DNA-damaging agent and inhibitor combinations in cancer treatments.
This technology personalizes cancer treatments based on genetic profiles, improving patient outcomes and advancing precision medicine for better global healthcare.
Lantern Pharma's AI can advance cancer drugs from concept to human trials in just 2-3 years using massive oncology data analysis.
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Lantern Pharma Inc. has introduced a new artificial intelligence module designed to predict the effectiveness of cancer treatment combinations involving DNA-damaging agents and DNA damage response inhibitors. The technology integrates into the company's RADR® platform, which supports AI-guided drug development, positioning Lantern Pharma as a developer of data-driven approaches to oncology drug development. The module enhances clinical success probabilities while aligning with industry efforts to personalize cancer treatments based on molecular and genetic profiles.
This advancement represents a significant step in transforming the cost, pace, and timeline of oncology drug discovery and development through artificial intelligence and machine learning technologies. Lantern Pharma's proprietary RADR® platform leverages over 200 billion oncology-focused data points and a library of more than 200 advanced machine learning algorithms to address real-world problems in cancer drug development. The company has accelerated its growing pipeline of therapies spanning multiple cancer indications, including both solid tumors and blood cancers, through this AI-powered approach.
The company's drug programs have demonstrated remarkable efficiency, advancing from initial AI insights to first-in-human clinical trials in just 2-3 years at approximately $2.5 million per program. This represents a substantial reduction in both time and cost compared to traditional drug development methods. Additional information about the company's developments is available in their newsroom at https://ibn.fm/LTRN.
The integration of this predictive AI module into Lantern Pharma's existing platform underscores the growing importance of artificial intelligence in modern pharmaceutical research. By combining extensive data analysis with advanced algorithms, the company aims to improve treatment outcomes while reducing the financial and temporal burdens typically associated with cancer drug development.
Curated from InvestorBrandNetwork (IBN)
