NetraMark's AI Significantly Outperforms ChatGPT, DeepSeek and Traditional Machine Learning in Clinical Trial Subpopulation Discovery, Offers New Path for Trial Success

Core Insights - NetraMark Holdings Inc. has released a preprint demonstrating that its AI platform, NetraAI, significantly outperforms leading large language models like DeepSeek and ChatGPT in analyzing clinical trial data [1][2][3] Study Overview - The study titled "Integrating Dynamical Systems Learning with Foundational Models: A Meta-Evolutionary AI Framework for Clinical Trials" tested NetraAI against DeepSeek, ChatGPT, and traditional machine learning models using complex clinical trial datasets [2][4] - The datasets included CATIE (schizophrenia), CAN-BIND (depression), and COMPASS (pancreatic cancer chemotherapy), known for their complexity and noise [4] Summary of Results - NetraAI was the only AI system able to extract statistically valid, clinically actionable insights from real-world trial data, achieving predictive model performance exceeding 100% accuracy [5] - It identified interpretable patient subgroups and provided clarity where other models generated noise [5] Detailed Trial Comparisons 1. CATIE Trial Data (Schizophrenia) - NetraAI produced clear subgroups with minimal variables, improving predictive model performance from 55-66% to over 85% [7] - DeepSeek and ChatGPT failed to generate meaningful outputs, returning generic summaries and random outliers [7] 2. CAN-BIND Trial Data (Depression) - NetraAI achieved model accuracy of 91-100% with AUCs nearing 0.99, while traditional ML plateaued at 55-66% accuracy [9] - ChatGPT and DeepSeek delivered no actionable insights and could not identify any subgrouping [9] 3. COMPASS Trial Data (Pancreatic Cancer Chemotherapy) - NetraAI identified clinically relevant patient personas with model accuracy of 90-95%, significantly outperforming traditional ML [10] - DeepSeek and ChatGPT produced no clinically interpretable patient subgroups, highlighting their unsuitability for precision oncology applications [10] Unique Features of NetraAI - NetraAI is built on a unique mathematical foundation that integrates dynamical systems theory, evolutionary computation, and information geometry [10][11] - It includes a knowledge-layer strategist that integrates scientific literature, making it purpose-built for clinical trial contexts [11] Importance of NetraAI - The platform addresses the challenge of enrolling the right patients in clinical trials, which is crucial as many trials fail not due to ineffective drugs but because of incorrect patient selection [12] - NetraAI reveals actionable hidden treatment signals that can significantly alter the trajectory of clinical trials [12] Company Background - NetraMark focuses on developing Generative AI and Machine Learning solutions targeted at the pharmaceutical industry, utilizing a novel algorithm to parse patient data into meaningful subsets [14]