Advancing AI-Driven Healthcare: Our Published Research

Palindrome Data is committed to scientific innovation in AI-powered healthcare solutions. Our research focuses on machine learning applications in HIV treatment, patient retention, and predictive analytics for global health challenges.

1

Applying Machine Learning to Retention & Viral Suppression in South African HIV Treatment Cohorts

Study on AI-powered treatment retention models in South Africa.

2

Validation & Improvement of a Machine Learning Model for Predicting ART Interruptions

Evaluation of Lesedi AI’s predictive accuracy in HIV treatment programs.

3

Historical Visit Attendance as a Predictor of Treatment Interruption in South African HIV Patients

Exploring how patient visit patterns impact AI risk scoring.

Case Studies: AI in Action

Nigeria: Reducing HIV Treatment Interruptions with AI

Integrating AI-powered HIV treatment solutions in Nigeria.

South Africa: AI-Driven Differentiated HIV Care

Using AI to optimize service delivery models and enhance patient retention.

Tajikistan: AI-Powered Maternal Health Risk Prediction

Climate data integration into AI models for maternal health outcomes.

White Papers: AI's Role in Transforming Healthcare

Recent Policy Briefs & White Papers:

MG Policy Brief - Dec 2024

How AI-driven healthcare interventions reduced treatment interruptions in Nigeria.

The Role of AI in Differentiated Service Delivery Models

Optimizing patient care pathways using predictive analytics.

Leveraging Machine Learning for Global Health Strategy

How AI can shape future public health decision-making.

Our Mission & Capabilities: Download Our Statement

The Palindrome Data Capability Statement outlines our mission, AI solutions, global partnerships, and impact across multiple healthcare programs.