Google Gemini

Overview

As of February 2026, Google Cloud's Vertex AI platform with Gemini models provides a suite of enterprise-grade generative AI capabilities specifically tailored for life sciences organizations.

Key Features

The primary capability for life sciences is the native multimodality of the Gemini models. This allows researchers to combine and analyze different data types within a single prompt or environment.

Technical Specifications

To support these analyses, Google offers a range of specialized models available in the Vertex AI Model Garden. 'Med-Gemini' is a foundational capability fine-tuned for clinical reasoning, achieving a score of 91.1% on the MedQA benchmark.

How It Works

Security and compliance are critical components of the Vertex AI offering for life sciences.

Use Cases

Real-world use cases demonstrate the platform's application. Partners like Manipal Hospitals and Counterpart Health use the tools for clinical data access and chronic disease management.

Limitations and Requirements

Several limitations and considerations must be taken into account.

Comparison to Alternatives

Summary

In conclusion, Google's Vertex AI with Gemini models offers a powerful, multimodal, and compliant platform for life sciences research.