Google Gemini

## What capabilities does Google Vertex AI with Gemini models provide for life sciences research applications?

## 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.