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Artificial Intelligence

Section: New Tools, Products and Technologies     View all sections


Pharma Companies Join Forces to Train AI for Drug Discovery Using Blockchain

   by Andrii Buvailo    1811
Pharma Companies Join Forces to Train AI for Drug Discovery Using Blockchain

The newly organized research project “MELLODDY” (Machine Learning Ledger Orchestration for Drug Discovery), involving ten large pharma companies and seven technology providers, is that kind of deals which can catalyze a transition of the pharmaceutical industry to a new level -- a “paradigm shift”, as one might refer to it in terms of Thomas Kuhn’s “The Structure of Scientific Revolutions”.

The project aims at developing a state-of-the-art platform for collaboration, based on Owkin’s blockchain architecture technology, which would allow collective training of artificial intelligence (AI) algorithms using data from multiple direct pharmaceutical competitors, without exposing their internal know-hows and compromising their intellectual property -- for the collective benefit of everyone involved. 

Confluence of Technologies Can Bring “Virtual Pharmacology” to the Next Level

   by Andrii Buvailo    1482
Confluence of Technologies Can Bring “Virtual Pharmacology” to the Next Level

In 1970-80s, the idea of virtual screening was regarded as a conceptual way to substitute costly and time-consuming experimental “screen-everything-you-have” approaches with a much faster and cheaper predictive modelling to cherry-pick only the best molecules for subsequent synthesis and validation in a lab. A great number of computational tools and approaches emerged, aiming at “pre-screening” new promising molecules, so called “hits”, or augmenting experimental screening programs to optimize efforts.

Presenting a New Paradigm for Drug Discovery: Combining Computational Biophysics and AI through MatchMaker

   by Naheed Kurji    1086
Presenting a New Paradigm for Drug Discovery: Combining Computational Biophysics and AI through MatchMaker

In this Special Perspective, our fourth in an ongoing series, we will be presenting MatchMaker™, a novel deep proteome screening technology that we have developed and validated over the past 2 years to identify DTIs. MatchMaker builds on Cyclica’s passions of combining protein, chemistry, and genomic data, and augmenting it with high performance computing and algorithm development supported on the cloud.

19 Online Marketplaces Facilitating Life Science Research

   by Andrii Buvailo    13912
19 Online Marketplaces Facilitating Life Science Research

(Last updated: 23.08.2018)

Online marketplaces are websites with a “many-to-many” business logic. They can host multiple suppliers trading with multiple buyers via different e-commerce tools available as a part of a website functionality.

Why are online marketplaces great?

Online marketplaces can provide a substantial added value to its users. For example, buyers can quickly compare and select better offerings without the need to research multiple websites and surf online for price comparisons or product specifications. Additionally, marketplaces bring more transparency, trust, and standardization to the whole process of sourcing.

Takeda Partners With Numerate To Use Artificial Intelligence For Drug Discovery

   by BiopharmaTrend    7701
Takeda Partners With Numerate To Use Artificial Intelligence For Drug Discovery

A multi-year research agreement has just been announced between Takeda Pharmaceuticals (TSE: 4502) and an Artificial Intelligence (AI)-driven computational drug design company Numerate, Inc. Under this contract, Numerate will have to come up with new clinical candidates in the Takeda’s core therapeutic areas: oncology, gastroenterology, and central nervous system disorders.