Practical AI applications for biotech R&D

Within R&D, 81% of biotech leaders are incorporating AI into fundamental scientific operations. For those not yet exploring its potential, this is a suitable moment to start.

Often, the initial hurdle in embracing AI is identifying a starting point. This document simplifies the process by highlighting six influential applications in which biotech R&D groups are currently achieving tangible improvements. These include accelerated data entry and access, enhanced experimental record-keeping, automated summary generation, and additional benefits. Every application features sample inputs for experimentation.

These represent practical implementations, not abstract concepts – they are validated drivers of efficiency derived from genuine client deployments, and further honed by Benchling’s AI in Biotech specialists.

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About Benchling

Benchling makes biotech research and development faster and more collaborative. Biotechnology has the potential to solve humanity’s most pressing challenges, such as disease, renewable energy, clean water, and hunger. The brightest minds are working on these problems but they are equipped with archaic tools. We aspire to fix this and increase the rate of scientific output with a web-based platform that allows researchers to design and run experiments, analyze data, and share results.

Hundreds of thousands of scientists all around the world use Benchling to do research. Whether they are at the world’s largest companies, the top research universities, or working on a startup in a garage, scientists use Benchling for the same reason: to be empowered, not encumbered, by their tools.

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