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 * In AI Origins & Evolution


ERADICATING ANIMAL TESTING WITH ARTIFICIAL INTELLIGENCE

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Article Overview


 * About The Research
 * PETA’s Take On This New Research
 * Brighter Future For All
 * Flagship Events

Each year more than a hundred million animals including mice, rats, frogs, dogs,
cats, rabbits, hamsters, guinea pigs, monkeys, fish and birds are killed in the
US alone for purposes of biology laboratory in colleges, medical training,
research and chemical, drug, food and cosmetics testing. They are not only
killed but brutally tortured with different tests, poisoned, blinded, forced to
inhale toxins, or made to inhale poisonous gases and various other things.

The animal testing rules stipulated by the government are being violated for the
mere reasons of getting funds or to merely publish data. It has been completely
banned in only four countries in the world: European Union, Norway, Israel and
India. Recently, many attempts have been made to preserve the animal rights in
this regard and prevent animal cruelty by means of testing. One of the attempts
is by using artificial intelligence. A recent research paper has helped to get a
step further to completely replace animal testing and AI is helping in it.


ABOUT THE RESEARCH

This new research by a team of four made an AI that can predict results from
nine different, most frequent tests that animals go through for animal testing.
The research shows results for nine health hazards from two kinds of Read-Across
Structure Activity Relationships (RASARs):

 1. Simple
 2. Data Fusion

RASAR uses binary fingerprints and Jaccard distance to define chemical
similarity. They constructed a large chemical similarity adjacency matrix from
this similarity metric and used it to derive feature vectors for supervised
learning. With a given list of chemicals, it predicts whether a chemical is
toxic or not. It can currently predict this for tens of thousands of chemicals.
According to the paper, these tests consumed 57% of all animals for
toxicological safety testing in Europe in 2011.


PETA’S TAKE ON THIS NEW RESEARCH

In order to add more value in understanding the impact of animal testing
replaced by AI, we talked to PETA India’s Science Policy Advisor, Dr Dipti
Kapoor. PETA India said that in silico, or computational, models for toxicity
prediction, is the future of industrial and regulatory research. This method can
provide information regarding the hazard potential of chemicals without animal
testing and can help with the production of data on predictive toxicity and
determination of other regulatory endpoints.

“With the development of highly sensitive and specific programs which can
predict the functioning, adverse pathways and reactions based on databases and
similar structural analysis programs, countless animals can be saved. These
methods include databases to retrieve toxicological data as well as quantitative
structure-activity relationships, which can identify hazard potential, without
using any animals for the same,” she said.

This rabbit had chemicals dripped into her eyes and rubbed on her bare skin in
cruel product tests at a Biosearch laboratory. Image source: PETA Latino

When asked about how animal testing can be replaced for pharmaceutical and
cosmetic purposes, she summarised PETA India’s collaborations in an effort to
ban animal testing and preserve animal rights. PETA has worked on replacing
Draize tests which involve restraining live rabbits, as a special committee
appointed by the Drug Controller General of India, and got it replaced by in
vitro or ex vivo OECD validated test methods.


BRIGHTER FUTURE FOR ALL

It is surprising that with such a steadfast advancement in technology today,
animals are still put to severe torment to fulfil tests for our needs, even to
the extremity of risking their lives for us. Moreover, a research had also shown
that animal experimentation outweighs potential benefits to humans also leads to
harming humans through misleading safety studies. So it is also not a very
reliable test for us either.

Promising researchers like this bring a light of hope for the animals so they
aren’t subject to cruel testing. The research depicts that using big data, a
tool much more powerful than animal testing can be used to predict risks in
various industries. It gives a hope for many animal lovers and would help in
retaining the rights of animals. If AI could totally take the responsibility of
animal testing, we could save many lives.

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 * Machine Learning, PETA, RASAR

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