Where ideas get tested

Experimental AI projects exploring what's possible at the intersection of machine learning, pharmaceutical data, and healthcare communication. Some of these will become products. Some won't. That's the point.

Featured Project

SideEffectViz

Machine Learning Data Visualization Healthcare

An interactive visualization tool that uses machine learning to identify patterns in medication side effects from FDA Adverse Event Reporting System (FAERS) data. Applies clustering algorithms and network analysis to pharmaceutical data — real AI beyond the chatbot.

Explore SideEffectViz

Network Visualization

Interactive graphs revealing relationships between drugs and adverse events

K-means Clustering

Unsupervised learning to group similar side effect profiles

Real FAERS Data

Built on actual FDA adverse event reports, not synthetic data

Open Source

Fully transparent methodology and reproducible results

Research

What we're exploring

Advanced AI Models

Transforming raw pharmaceutical data into actionable intelligence. Detecting patterns invisible to traditional analysis — new connections between compounds, outcomes, and patient responses.

Data-Driven Insights

Bringing together pharmaceutical scientists, AI researchers and healthcare innovators. Contributing to open research initiatives and validation studies.

Community Collaboration

A growing community of pharmaceutical professionals, researchers, and AI enthusiasts. Contributing to experiments and shaping the future of AI in pharma.

Projects