Industry’s First AI-enabled Clinical Trials Optimization System

Know your Next Best Action: Lead with more confident, accurate decision-making that produces optimal outcomes.

Elevate Your Trials with AI-Enabled Advanced Analytics

Better understanding of negative events’ causality and timely recommendations for interventions can help you to steer the course of your trials and optimize the outcome. If there were a tool that could enable you do that, would you use it?

Discover how SMART Optimizer, the latest innovation from MaxisIT, leverages AI to transform clinical trial outcomes.

Bring more certainty to your clinical trials 

The causal reasoning paradigm within SMART Optimizer helps you to make better decisions that enhance the quality and outcomes of your clinical trials.

Safe and effective drug development runs on causal questions. SMART Optimizer uses a state-of-the-art transformer architecture and deep learning to review the causal relationship across the clinical trials’ data points in real time; and identifies the most impactful interventions to improve the ongoing trial.

The Future of Clinical Trials Begins Here

SMART Optimizer harnesses the power of Causal AI to bridge gaps of correlational machine learning and deliver more human-like intelligence, thus enabling superior decision-making in pharmaceutical and life sciences clinical trials.

FEATURES

Why Choose SMART Optimizer?

Causal AI engine combined with Generative AI represents a revolutionary advancement in application of artificial intelligence within SMART Optimizer. This first-of-its-kind AI platform prioritizes cause-and-effect relationships in clinical trials data analysis and transforms technology interaction paradigm by offering various virtual roles across the clinical trials continuum.

Sophisticated data analysis and interpretation

Identify causal patterns, outcomes, and recommended optimization more effectively than traditional methods.

Advanced causal discovery, modelling, and intervention

Discover cause-effect relationships in clinical trial data by combining human intelligence and know-how with AI-enabled approaches, as well as structural causal modeling layered with intelligent intervention engines.

Dynamic trial monitoring

Identify deviations from expected outcomes, protocol adherence issues, and safety concerns with continuous real-time data analysis.

Intelligent data management

Multi-modal data integration, processing, and management; ensure data integrity with automated anomaly detection.

How it works

Make the Right Decisions for Your Trials

SMART Optimizer allows you to build the most impactful interventions by identifying causes based on cause-effect severity with the associated event. What-if analyses and counterfactual explanations further enables simulating intervention scenarios. In other words, you can visualize the future.

Causal AI combined with Generative AI architecture prioritizes cause-and-effect relationships. SMART Optimizer, built at enterprise scale to support multi-modal data integration, processing and analytics, helps you identify and implement the “next best action” to optimize the clinical trial. SMART Optimizer helps keep the clinical trial on schedule, minimizes delays and provides deeper understanding of evolving scenarios.

SMART Insights

By combining human-intelligence with AI, SMART Optimizer bridges creativity with reasoning and recommends the Next Best Action to empower clinical trials’ sponsors to.

Uncover the causal factors of various events of interest

Perform what-if and counterfactual assessment to build intervention strategies

Simulate prospective scenarios based on those strategies

Analyze how those strategies will impact your trial

Use these insights to optimize clinical success 

SMART Apps by Roles

Clinical Operations

Clinical Data Management

Biostatistics

Safety Monitoring

Use Cases

Challenge for Safety Clinicians

Insight & Advantage

Challenge for Clinical Researchers

Insight & Advantage

Challenge of Patient Enrollment

Insight & Advantage:

Challenge for Biostatisticians

Insight & Advantage

Testimonials

  • Sergey Krymgold, Senior Director of Clinical Trials, Tools, and Technologies at Takeda Pharmaceuticals
  • Aarti Sanadi, Associate Director of Clinical Trials, Tools, and Technologies at Takeda Pharmaceuticals
  • Data Analytics Innovations: Insights from Jayasree Ivaturi, Associate Director at MaxisIT
  • Randall Paulk, Senior Manager of Data Management Clinical Systems at J&J Vision Care
  • Greeshma Mundayat, Clinical Solutions Owner at MaxisIT

Related Resources

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