Search
Profile

Ask your question

Close

What Is Drug Discovery?

Drug discovery covers the whole field of the drug development process, from identifying chemical compounds that could become useful drugs to the clinical trial phase. The process is long and complicated, with every stage ripe for implementation of artificial intelligence models.

Details

Why Is It Important to Have a Good Drug Discovery Model?

Implementation of AI drug discovery models simplifies and vastly shortens the process. Above all, a good model allows pharmaceutical companies to focus on drugs with the most promise. It also allows companies to minimize time and money spent on drugs that will later be disqualified.

What Internal Data Should I Have for a Good Drug Discovery Model?

Internal data for AI drug discovery models should contain data from all drugs previously created and marketed by the pharmaceutical company. The data should account for creation time. Further, it should record important insights from different steps in the process, including target identification, drug toxicity, clinical trials, and revenue from the drug.

What External Data is Essential for a Good Model?

Databases provide enormous amounts of information, especially biochemical, genomic, and toxicity data. The best AI model allows drug developers to easily cross-reference data from all these resources with the aforementioned internal data from previous work.

What External Data May Prove Useful for a Good Model?

Other data which could prove useful to a drug discovery model include surveys and pharma company feedback. Additionally, developers should include clinical trial data and new academic studies.

What Are the Main Challenges of the This Use Case?

AI-driven personalized medicine contains information on people’s genetic code and other intimate information. As a result, security is a major issue and the data must be secure and protected.
Finally, big data requires large amounts of computation for the AI models to work effectively. Consequently, drug developers need access to technology with high computational abilities.

Interesting Case Studies and Blogs to Look Into

Washington Times: ‘Cutting-edge science’: OCD drug designed by artificial intelligence
BenchSci: 230 Startups Using Artificial Intelligence in Drug Discovery

Tangible Examples of Impact

In 2018 the flu vaccine ‘turbocharger’, developed by scientists from Flinders University in Australia, went into clinical trials. The team’s press release hailed it as the first drug designed by Artificial Intelligence.

“We had to teach the AI program on a set of compounds that are known to activate the human immune system, and a set of compounds that don’t work. The job of the AI was then to work out for itself what distinguished a drug that worked from one that doesn’t,” Petrovsky said, who is also the Research Director of Australian biotechnology company Vaxine.

“We then developed another program, called the synthetic chemist which generated trillions of different chemical compounds that we then fed to SAM so that it could sift through all of these to find candidates that it thought might be good human immune drugs.”

Australian Researchers Have Just Released The World’s First AI-Developed Vaccine

Relevant datasets

Fiind Account-Based Marketing

by

Account-Based Marketing by Fiind provide businesses with AI powered target accounts based on their fit and buying intent along with services for measuring and optimizing targeted campaigns.

0 (0)   Reviews (0)

Fiind Data Stewardship

by

Fiind’s Data Stewardship services provide data management for businesses to enhance the success of their marketing and sales results.

0 (0)   Reviews (0)

Fluent Mobile User Acquisition

by fluent

Mobile User Acquisition by Fluent allows businesses to have more successful campaigns and more engagement through mobile app users.

0 (0)   Reviews (0)

Fluent Audience Now

by h

Audience Now by Fluent is a platform that provides targeted audience data for businesses to gain insights that improve their reach, visibility and increase customer and user acquisition.

0 (0)   Reviews (0)

TicketIQ App

by

TicketIQ App allows the user to track events, set alerts and notifications, get updates on daily deals & exclusive offers and be ableto get real-time data and seat views.

0 (0)   Reviews (0)

Similar Data Providers

  • The Arabesque GroupThe Arabesque Group
    5 (1)
    Reviews ()
    Data sets (4)
    Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
  • Black Box Intelligence Consumer Intelligence
    5 (1)
    Reviews ()
    Data sets (0)
    Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
  • Home by Vendigi
    4.3 (3)
    Reviews (1)
    Data sets (0)
    Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's. Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.