AI in Clinical Trials

a brief description of conference speech

Stages for patient

• Enrollment
• Participation
• Analysis

AI application

Research

• Predicting patterns in historical data
• Hypotheses using articles, data, open and close sources 
• Modeling the clinical trial - outcomes, data, statistics

Study design

• Selecting sites
• Selecting patients
• Design protocol
• Design issues, alerts, kri
• Modeling outcomes and synthetic data

Study conducting

• Amending errors on the fly
• Gathering image data 
• Gathering non-clear data
• Catching issues and errors automatically (duplication)
• Generate outcomes

Finalizing study

• Recognizing patterns in the data
• Generating documentation
• Data validation
• Predicting outcomes from verified application
• Research of patterns

All-in-one consultant

LLM consultant

Analyzing open sources

Analyzing private sources

Analyzing images

Generating synthetic data

Predicting outcomes

Validating data

Generating study design

Examples

• Easier matching of volunteers to the right trials

• Smarter recruiting using predictions

• Catching dropouts early with machine learning

• Making trial changes in real time using AI

• Finding the best trial sites with data tools

• Using virtual groups instead of placebos

Problems

• Private data
• Regulatory principles
• Hallucinations
• Complex problems

Electronic Patient-Reported Outcomes (ePRO)

electronic Clinical Outcome Assessment.

CTMS stands for Clinical Trial Management System.

Electronic Data Capture

AI application

Research

• Predicting patterns in historical data
• Hypotheses using articles, data, open and close sources 
• Modeling the clinical trial - outcomes, data, statistics

Designing study

• Selecting sites
• Selecting patients
• Generating scenarios and protocols
• Generating alerts and issues

Conducting study

• Matching patients
• Error and amendments on the fly
• Gathering data through non-clear paths
• Gathering data from images
• Auto-trusting data
• Duplication

Finishing study

• Predicting results for Institution
• Found broken and successful patterns
• Generating Synthetic data
• Analysis competitors

All-in-one AI assistant

• Collaborating on all stages
• LLM talking with agents
• Private data
• Comfortable interface