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Topic: ‘Thought-provoking’


Get Ready For “Super-platforms” In Healthcare and Pharmaceutical Research

   by Andrii Buvailo    390
Get Ready For “Super-platforms” In Healthcare and Pharmaceutical Research

What is a super-platform?

A “super-platform” is a term which describes a relatively new phenomenon in a modern technological world -- an online-to-offline (O2O) type of digital infrastructure, which spans across multiple sectors of economic activity providing a way for users (both businesses and consumers) to operate with multiple resources, products and services within a uniform, standardized, and highly interconnected way.

Imagine, you want to be able to search for information, shop online, pay for products and services, communicate with someone by email, or chat, create and manage text and spreadsheet documents, translate them into any language on the go, store and organize data like photos and videos, find local restaurants and get driving directions, or just entertain yourself by playing games -- and you prefer to have all of that in one place without needing to search for numerous websites and resources? You can do just that in your single Google account. This is what a super-platform does: it provides a way to conveniently engage in totally different types of activity across different sectors.

Will Biologics Surpass Small Molecules In The Pharma Race?

   by Andrii Buvailo    2376
Will Biologics Surpass Small Molecules In The Pharma Race?

The first biologics drug, humanized insulin (5.8 kDa), became available in 1982 following the advent of biotechnology, and it marked a new era in pharmaceutical industry. Modern advances in biotechnology permit large-scale syntheses of biologics in a more or less cost-effective manner. Having once started with large peptides and recombinant proteins, biologics nowadays include a wide range of other entities, such as antibodies, monoclonal antibodies, and more recently, nanobodies and related objects, soluble receptors, recombinant DNA, antibody-drug conjugates (ADCs), fusion proteins, immunotherapeutics, and synthetic vaccines.  

The “Why”, “How” and “When” of AI in Pharmaceutical Innovation

   by Andrii Buvailo    1377

(Edited version of this post originally appeared in Forbes)

“It is not the strongest of the species that survives, nor the most intelligent, but the one most adaptable to change” -- Leon C. Megginson

Last year brought about new hope and even more hype around the idea of applying artificial intelligence (AI) for “revolutionizing” drug discovery research -- via machines being able to “learn” chemistry and biology from vast amounts of experimental data to propose potent drug candidates, accurately predict their properties and possible toxicity risks. It is supposed to dramatically minimize failures in clinical trials -- saving R&D budgets, time, and most importantly, lives of patients.

Outsourcing AI For Drug Discovery: Independent Expertise Is Key To Avoid Overhyped Claims

   by Mostapha Benhenda    5351

Investments in artificial intelligence (AI) for drug discovery are surging. Big Pharmas are throwing big bucks at AI. Sanofi signed a 300 Million dollars deal with the Scottish AI startup Exscentia, and GSK did the same for 42 Million dollars. Also, the Silicon Valley VC firm Andreessen Horowitz launched a new 450 Million dollars bio investment fund, with one focus area in applications of AI to drug discovery.

In this craze, lots of pharma and biotech decision-makers wonder whether they should jump on the bandwagon, or wait and see.