Wet lab
A laboratory for biological or chemical experiments, often involving liquids and glassware. AI can assist or automate tasks within these labs.
A wet lab is a place where scientists do experiments, usually with chemicals and biological materials. Think of a typical science lab you see in movies, with test tubes, beakers, and other equipment for mixing and testing substances.
These labs are essential for developing new medicines, understanding diseases, and creating new materials. AI tools are starting to be used to help scientists in wet labs, for example, by analyzing data from experiments or even suggesting new experiments to run.
A wet lab is a laboratory environment designed for conducting experiments that involve liquids, chemicals, and biological samples. It is characterized by specialized equipment such as fume hoods, sinks, glassware, and safety apparatus necessary for handling potentially hazardous materials and performing procedures like titrations, culturing, or synthesis.
In the context of AI research, wet labs are relevant for applications in life sciences, such as drug discovery, synthetic biology, and diagnostics. AI models can be used to analyze experimental data generated in wet labs, predict outcomes, optimize experimental designs, or even control robotic systems that perform lab tasks.
Frontier AI labs are increasingly focused on applying AI to biological research and experimentation. This includes using AI to design experiments, analyze biological data, and even automate processes in physical labs. The goal is to accelerate scientific discovery, from drug development to understanding fundamental biological processes.
- Grounding AI agents in biological reality: Building blocks for autonomous wet labsGoogle · Google Research Blog ·
- Biohub: The Future of Biology is Open-Source with Co-Founders Mark Zuckerberg, Priscilla Chan, and Head of Science Alex RivesMeta · No Priors ·
- Building an early warning system for LLM-aided biological threat creationOpenAI · OpenAI News ·
- Google Gemini
- Google Gemini is exploring how AI agents can operate autonomous wet labs, speeding up biological research.
- Meta Meta AI
- Meta AI is using AI to model biology and design proteins, aiming to advance biological research.
- OpenAI ChatGPT
- OpenAI has evaluated the potential for AI models like GPT-4 to be used in biological threat creation, indicating a focus on AI's impact on biological safety.
- Dry lab
- A laboratory that primarily uses computational methods and data analysi
The term 'wet lab' originated within the scientific community to distinguish laboratory work involving physical manipulation of materials, especially liquids, from computational or theoretical work.
You can explore AI's role in scientific research by asking models like ChatGPT to explain a complex biological process or to suggest potential research avenues for a given disease. For instance, ask: 'Explain the process of PCR and suggest potential optimizations for its efficiency.'
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- What is the difference between a wet lab and a dry lab?
- A wet lab involves hands-on experiments with physical materials, chemicals, and biological samples, often using glassware and liquids. A dry lab focuses on computational analysis, data modeling, and theoretical work, typically using computers.
- How is AI used in wet labs?
- AI can analyze experimental data, predict outcomes, design experiments, automate robotic systems for lab tasks, and help in areas like drug discovery and diagnostics.
First seen on Subvolts Jan 31, 2024. Updated Oct 16, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.