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Topic: ‘Big Data’


2018 Brings A Surge Of Activity In The “AI For Drug Discovery” Space

   by Andrii Buvailo    3391

(Last updated: 15.03.2018)

The idea of using artificial intelligence (AI) to accelerate drug discovery process and boost a success rate of pharmaceutical research programs has inspired a notable amount of activity over the last several years with a considerable number of initiated research collaborations between AI-driven R&D vendors and top pharmaceutical companies in 2016-2017.

(For a detailed review of the topic, read Biopharma’s Hunt For Artificial Intelligence: Who Does What?).

A busy beginning of 2018 shows that the area is getting even “hotter” and things start unfolding faster in the emerging “AI for drug discovery” space. Below is a brief summary of some of the most notable events of this year so far:  

How Pharmaceutical And Biotech Companies Go About Applying Artificial Intelligence in R&D

   by Andrii Buvailo    10072

(Last updated 24.02.2018)

The type of artificial intelligence (AI) which scares some of the greatest minds, like Elon Musk and Stephen Hawking, is called “general artificial intelligence” -- the one which can “think” pretty much like humans do, and which can quickly evolve into a dangerous “superintelligence”. There is a notion that it might be invented in the nearest decades, but today we are definitely not there yet. The AI which is making headlines these days is a “narrow artificial intelligence”, a limited type of machine “intelligence” able to solve only a specific task or a group of tasks. It can’t go anywhere beyond specifics of the problem for which it is designed, so apparently, it will not hurt anyone in the nearest time. But already now it can provide meaningful practical results on those narrow tasks, like natural language processing, image recognition, controlling self-driving cars, and helping develop new drugs more efficiently. With the ability to find hidden and unintuitive patterns in vast amounts of data in ways that no human can do, AI represents a considerable promise to transform many industries, including pharma and biotech.  

Navigating In REAL Chemical Space To Find Novel Medicines

   by Andrii Buvailo    1130
Navigating In REAL Chemical Space To Find Novel Medicines

February 6 2018 will be marked in history as the day when an automobile embarked on a million year trip into far space. On that day, Falcon Heavy, the 230ft megarocket, successfully launched from Cape Canaveral, Florida, bringing on board Elon Musk’s personal Tesla Roadster with a crash test dummy called 'Starman' strapped into the driver's seat.

"The imagery of it is something that's going to get people excited around the world." says Elon Musk, a guy who literally revolutionized the area of space travel having developed and successfully tested first reusable rockets in the aerospace history, opening new horizons for cosmos explorations.

While advances in aeronautics are making news headlines daily, a much quieter scientific revolution is also happening in the area of “chemical space” explorations -- the one which might soon uncover novel medicines to cure diseases.

A Brief Guide To Assay Technology For Efficient Drug Discovery -- Part 1

   by Alfred Ajami    808

Effective drug discovery begins with the right assay, but the definition of "right" will shift as technology advances. More often than not, "right" is the product of tribal knowledge, namely the traditions of one's close peer group, study lineage and corporate culture. Instead, the right assay should be a fit-for-purpose application born of  a broader, continuously updated, and unbiased consensus. As Steve Hamilton, aka The Lab Man, at the Society for Laboratory Automation  and Screening (SLAS) has often stated in his blog posts, "developing assays – properly – is the cornerstone for life sciences R&D." 

[Interview] The Current Status Of AI In Drug Discovery And Looking Forward Into 2018

   by Andrii Buvailo    2381
[Interview] The Current Status Of AI In Drug Discovery And Looking Forward Into 2018

Without a doubt, the area of artificial intelligence (AI) has been a sensation lately -- judging by the amount of hype around this topic. But the hype is not a guarantee of a real breakthrough, which is defined by facts and measurable achievements, not just loud statements.

The fact is, however, AI-driven systems managed to learn chess at a champion level in just 4 hours, and beat human champions in Jeopardy, and Go -- we all know that. And Facebook can recognize faces in a blurry photo where you are hanging out with a bunch of friends -- not worse than you (human) can do. You can try and see it for yourself anytime -- it works!