Disease Prediction
Forecasts risk before it becomes a crisis.
AI Systems & Platforms
Turning Health Data into
Actionable Intelligence
PA Lab has built a family of AI systems for Sindh — analytics dashboards that reveal what is happening across the province today, and predictive engines that forecast what is coming next.
3Core Systems
6Health Programs
30Districts of Sindh
dhas.sindh / child-health-dashboard
Analytics
DHAS
District Health Analytical System
The intelligent backbone of Sindh’s healthcare monitoring ecosystem. DHAS converts complex, multi-source health data into clear real-time insights — letting officials monitor, evaluate, and improve interventions across the entire system.
Aggregates multi-source health data in real time
Interactive dashboards and visual insights
Supports evidence-based policy decisions
Drill down from union council to district level
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Prediction
DHPS
District Health Prediction System
An AI-powered predictive engine that anticipates health risks and guides proactive action — identifying vulnerable populations and high-risk zones before crises emerge, so resources reach the right places in time.
Forecasts disease trends and outbreak risks
Identifies vulnerable populations and zones
Early-warning alerts for rising risk
Supports resource allocation & emergency prep
4 · Prediction
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Predictable indicators
IMR
MMR
Infant Deaths
Maternal Deaths
LHW Performance
Tuberculosis
Breast Cancer
and more
Unified Engine
GPS
General Prediction System
A unified AI prediction platform for images and numerical data alike. GPS brings together a rich collection of machine learning and deep learning models, letting anyone build accurate predictions without writing code or preprocessing data.
Works on images, tabular, and categorical data
No preprocessing or coding required
Multi-GPU architecture for fast, scalable runs
Metrics, visualizations, and downloadable reports
Data Inputs
ImagesX-rays, scans, satellite, microscopy
Tabular DataClinical records, surveys, sensors
No preprocessing. No coding.
GPS
Unified AI Engine
ML & deep learning models · multi-GPU
Predictions & Insights
ClassificationPredict categories and labels
RegressionPredict continuous values
ClusteringDiscover hidden patterns
Anomaly DetectionFlag outliers and rare events
ForecastingProject future trends
0Districts Covered
0Health Programs
0Predictable Indicators
0TB Model Accuracy
Impact Areas
Where These Systems Make a Difference
From live monitoring to forward-looking forecasts, these platforms change how decisions get made across Sindh’s health system.
Resource Optimization
Directs staff, supplies and budget where need is highest.
Clinical Decision Support
AI-assisted screening gives clinicians a reliable second read — faster diagnosis, earlier treatment.
Real-Time Monitoring
Health indicators stream in from union council to district level, so officials see what is happening now — not months later in a report.
Population Health Insights
Patterns across 30 districts and 6 programs reveal which communities are being missed — turning raw records into equity-driven policy.