MaxisIT Introduces Industry’s First AI-enabled Clinical Trials Optimization System

MaxisIT, a prominent provider of clinical data analytics platforms, has launched SMART Optimizer, heralded as the industry’s first AI-enabled system for optimizing clinical trials. Leveraging the power of Causal AI, SMART Optimizer aims to revolutionize decision-making in pharmaceutical and life sciences research, bridging the gap between correlational machine learning and human-like intelligence.

Bridging the Gap with Causal AI:

The platform's innovative Causal AI engine, coupled with Generative AI, marks a significant leap forward in artificial intelligence application within clinical trial optimization. By prioritizing cause-and-effect relationships in data analysis, SMART Optimizer offers various virtual roles across the clinical trials continuum, enhancing operational efficiency and decision-making accuracy.

Decoding Protocol Complexities:

Moulik Shah, CEO of MaxisIT, highlighted the importance of addressing protocol complexities and data volume challenges in modern clinical trials. He emphasized, “Safe and effective drug development runs on causal questions. Our mission is to decode such complexities and identify causal factors influencing treatment outcomes.”

Empowering Decision-Making:

SMART Optimizer incorporates scalable causal discovery algorithms within its AI engine, facilitating the construction of large causal graphs and structural causal modeling. This enables deeper understanding of root causes of anomalies and poor performance in trials, ultimately leading to improved outcomes.