How Althea Works: A Technical Overview

AI Architecture

Althea's AI leverages the following components:

• Neural Networks: Deep learning models process complex datasets, including molecular simulations, patient records, and medical imaging.

• Reinforcement Learning: The AI optimizes simulations and treatment pathways by learning from iterative testing.

• Natural Language Processing (NLP): Generates research papers, protocols, and diagnostic reports in real-time.

Data Pipeline

• Input: Live data streams from pharmaceutical labs, patient records, and medical devices.

• Processing: Data is cleaned, anonymized, and fed into Althea's analytical models.

• Output: Actionable insights, including simulation results, treatment recommendations, and predictive models.

Self-Improving Capabilities

Althea employs self-learning algorithms that:

• Continuously refine diagnostic and simulation models based on new data.

• Identify and correct errors autonomously.

• Optimize performance with minimal human oversight.