BenchSci Extends Influence on Drug Discovery With Addition of AI-Assisted Animal Mannequin Choice

BenchSci’s suite of AI-powered purposes that present scientists with insights to plan, procure for, and execute experiments extra successfully is now relevant to extra preclinical R&D experiments with the addition of animal fashions. 

Utilizing animal fashions to validate research is a vital step in preclinical analysis, as they allow scientists to experiment beneath managed conditions that mimic the organic situations of human ailments. BenchSci allows scientists to make extra knowledgeable and exact animal mannequin picks by offering proof of profitable utilization in experiments just like their very own.

“We’re proud to be introducing animal fashions to the BenchSci platform as we proceed to concentrate on serving to scientists speed up preclinical analysis,” says Casandra Mangroo, BenchSci’s SVP of Product and Science. “Related insights from the revealed literature are surfaced in a single place to assist scientists perceive how different scientists have used animal fashions and designed profitable experiments. Scientists can have the data they should choose essentially the most acceptable animal mannequin to advance their experiments.” 

For scientists, discovering and deciding on acceptable animal fashions could be a time-consuming course of. The revealed literature might comprise inconsistent abbreviations and aliases, and vendor catalogs don’t present sufficient data on the experimental context for particular ailments or methods.

A scientist will typically seek the advice of and manually learn a number of items of literature to seek out an animal mannequin that their friends within the scientific group have beforehand utilized in an experiment just like their very own and perceive tips on how to reproduce profitable outcomes. This may be time-consuming and dear. 

BenchSci’s proprietary machine studying fashions extract animal utilization information from the revealed literature, connecting it to product information. Superior bioinformatics and ontologies hyperlink animal fashions to the experiments they’ve been utilized in throughout the revealed literature.

Scientists can apply their experimental context to filter BenchSci’s animal fashions database to evaluation solely related experimental insights. This protects scientists hours of treasured analysis time whereas enabling them to make extra knowledgeable product choice selections and improve their chance of experimental success. 

BenchSci’s animal mannequin database consists of:

  • Greater than 263,000 animal fashions and over 374,000 experiments 
  • 20+ species — together with mouse, rat, guinea pig, rabbit, zebrafish, and extra

The addition of animal fashions to the platform is yet one more approach that BenchSci is changing into a whole useful resource for all points of decision-making in experimental design.  

For extra BenchSci updates, go to our information web page

About BenchSci

BenchSci’s imaginative and prescient is to deliver drugs to sufferers 50% sooner by 2025. We’re doing this by empowering scientists with the world’s most superior biomedical synthetic intelligence to run extra profitable experiments. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical corporations and over 4,300 main analysis facilities worldwide. We’re a CIX High 10 Development firm, licensed Nice Place to Work®, and top-ranked firm on Glassdoor. Be taught extra at

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Supply: BenchSci