New AI Model Can Identify Designer, Research Drugs on the Fly

by | Cannabis Times

 A brilliant mind has been recognized for his groundbreaking work in the field of science. Michael Skinnider, a biologist from Princeton, has been awarded the prestigious 2023 NOMIS & Science Young Explorer award for his creation of a revolutionary AI language model. This model has the ability to identify the exact chemical structure of designer drugs, even those that have not yet been tested on humans.

Skinnider’s AI model has the capability to identify the chemical structure of research chemicals, also known as “legal highs.” These are compounds that produce psychoactive effects but have not yet been regulated by the FDA. This has created a loophole in the system, allowing chemists and labs to sell and ship dangerous drugs with a label that says “not for human consumption” without facing legal consequences.

Law enforcement professionals often face challenges in identifying and treating individuals who have been exposed to these dangerous drugs. Traditional field testing kits are limited to detecting commonly used psychoactive compounds, such as heroin, meth, and cocaine. Skinnider’s AI model, on the other hand, has the ability to generate and identify entirely new chemical structures, making it a valuable tool in combating the issue.

Skinnider’s journey began with training the AI language model on a simplified molecular input line entry system, also known as SMILES. This system allows for complex chemical structures to be represented in a simple text-based format. He then taught the model to identify chemicals using a process called “mass spectrometry,” which measures the different ratios of electrical charges at the molecular level to determine the exact molecular weight of the particles in a sample. This information is then used to identify and map the chemical compound.

“As a MD/PhD student, I witnessed the devastating effects of designer drug intoxications on patients, and the limited options that emergency physicians had to treat them. I wondered if artificial intelligence could provide a solution,” Skinnider shared in an essay on Science.

Skinnider’s groundbreaking work has the potential to save countless lives and revolutionize the way we approach designer drugs. His dedication and innovative thinking have earned him well-deserved recognition in the scientific community.