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Pharmaceutical industryGemini for pharmaceutical industry
Google DeepMind's natively multimodal model family, deeply integrated into Workspace, with a very large context window.
Gemini is strong in native multimodality: text, image, audio, video and a very large context window; that suits finding and optimising targets, proteins and candidate molecules with AI models.
- GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
- GDPR: Strong
- QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
- 1526Elo, independent
- Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
- 8,6
- Entry price
- $0
What Gemini does in the pharmaceutical industry
- Finding and optimising targets, proteins and candidate molecules with AI models
- Setting up clinical studies: recruiting patients, recording source data and monitoring data quality
- Drafting regulatory documents (protocols, CSRs, dossiers) with traceable sources
- Processing adverse event reports, coding them and detecting safety signals
- Natively multimodal: text, image, audio, video
- Very large context window
- Deep Google Workspace integration
- Enterprise options via Vertex AI
Gemini has a strong published GDPR profile and, with the right business settings, is well suited to the pharmaceutical industry.
Confidentiality and GDPR
GDPR: StrongThis sector involves health data of trial participants and patients (special category personal data under Article 9 GDPR) and confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never goes to third-party AI models, Iris.ai hosts on AWS in Ireland and Germany. Biolevate and Ennov also run in private cloud or on-premises. With Veeva Vault AI and Yseop, texts go to Anthropic models via Amazon Bedrock; check the region and the data processing agreement. If you work in GxP processes, an AI tool must also be validated (EU GMP Annex 11) and a competent employee remains responsible. For AI in medicines development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles.
Via Vertex AI, processing can be pinned to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (though stricter policies apply for the EU/EEA).
Prices
Other models for the pharmaceutical industry
Claude for the pharmaceutical industryAnthropic · editorial 9.01506
ChatGPT for the pharmaceutical industryOpenAI · edition 8.91485
Copilot for the pharmaceutical industryMicrosoft · editorial 8.31485
Le Chat (Mistral) for the pharmaceutical industryMistral AI · editorial 8.41427We do not know of a professional tool for the pharmaceutical industry that publicly runs on Gemini.
Questions about Gemini for the pharmaceutical industry
- Is Gemini suitable for the pharmaceutical industry?
- Yes. Gemini is strong in native multimodality: text, image, audio, video and a very large context window, which fits well with the pharmaceutical industry. Always assess the specific task and keep a professional in the loop.
- May I put confidential data into Gemini?
- This sector deals with health data from trial participants and patients (special category personal data under Article 9 of the GDPR) and with confidential research data. Ask every provider where the data is stored and whether it is used to train models: Castor hosts in the Netherlands (Google Cloud europe-west4) and does not share data or models between customers, Cradle states that source data never reaches third-party AI models, and Iris.ai hosts with AWS in Ireland and Germany. Biolevate and Ennov also run in a private cloud or on-premises. For Veeva Vault AI and Yseop, text is sent to Anthropic models via Amazon Bedrock, so check the region and the data processing agreement. If you work in GxP processes, the AI tool must also be validated (EU GMP Annex 11) and a competent person remains responsible. For AI in drug development, the EMA has a reflection paper (2024) and is working with the FDA on joint principles. Via Vertex AI, processing can be pinned to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (although stricter policies apply to the EU/EEA).
- How much does Gemini cost?
- There is Free ($0), Google AI Plus (€4.99 / month), AI Pro (€21.99 / month), AI Ultra (from €99.99 / month), Workspace / API (per seat / per token). Check current prices on the official site.
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