Cutting-Edge Healthcare AI Research by Arshia Ilaty

Revolutionizing Clinical Trial Adherence

Harnessing multimodal data analysis and explainable AI to predict participant dropout, reduce trial failure rates, and transform healthcare innovation.

Empowering Researchers with Explainable AI

Our agentic AI system autonomously analyzes multimodal patient data to predict adherence and provide clear, clinically meaningful insights.

Multimodal Data Fusion

Seamlessly integrates wearable devices, EHRs, surveys, and behavioral indicators for comprehensive patient insights.

Early Prediction

Advanced time-series and multimodal models detect adherence risks at the earliest possible stage for proactive intervention.

Explainable AI

Every prediction comes with clear, traceable clinical reasoning using SHAP values and attention mechanisms.

Agentic Operation

Autonomous data retrieval, real-time reasoning, and intelligent alerting for trial coordinators and researchers.

Privacy & Ethics

Full compliance with HIPAA, GDPR, and ethical AI guidelines to protect patient confidentiality and trust.

Personalized Support

Targeted engagement strategies based on individual patient risk profiles and behavioral patterns.

Advanced Methodological Framework

Our comprehensive approach combines cutting-edge AI techniques with rigorous clinical validation for reliable, actionable insights.

Data Sources

Wearables (Fitbit, Apple Watch), EHRs via FHIR/SMART APIs, REDCap survey systems, and mobile app behavioral logs.

Predictive Modeling

LSTM-based time-series models, multimodal transformers (Perceiver IO), and decision-tree ensembles for robust predictions.

Agent Architecture

LangChain-based agent pipeline combining API querying, memory systems, and tool-based reasoning for autonomous operation.

Key Evaluation Metrics

AUC-ROC Score0.94

Precision-Recall0.89

Explainability Fidelity0.92

Human Trust Rating4.7/5

Transforming Healthcare Innovation

Join us in shaping the future of clinical trials through predictive AI and personalized patient care.

85%

Reduction in Trial Failure Rates

$2.3M

Average Cost Savings per Trial

92%

Clinician Satisfaction Rate

Let's Collaborate

Interested in discussing this research, exploring partnerships, or learning more about agentic AI in healthcare? I'd love to connect with fellow researchers, clinicians, and innovators.

Schedule a Meeting

Book a time to discuss research collaboration, methodology questions, or implementation strategies.

Connect & Learn More

Explore my other work, connect on LinkedIn, or dive deeper into my research portfolio.

Research Collaboration

I'm actively seeking partnerships with healthcare institutions, pharmaceutical companies, and research organizations interested in implementing agentic AI solutions for clinical trials.

Clinical PartnershipsData CollaborationImplementation SupportAcademic Research