The Map of AI Startups in Drug Discovery

BiopharmaTrend.com

A fresh viewpoint on drug discovery, pharma, and biotech

Subscribe | Become an author | Author LogIn

Latest Posts

Pharma R&D Outsourcing Is On The Rise

(Updated: 14.08.2018) Pharmaceutical companies are increasingly outsourcing research activities to academic and private contract research organizations (CROs) as a ...

In The Spotlight

Top 7 Trends In Pharmaceutical Research In 2018

Top 7 Trends In Pharmaceutical Research In 2018

Being under ever-increasing pressure to compete in a challenging economic and technological environment, pharmaceutical and biotech compa... read more

Featured Posts

The Future Of Drug Development in China

The Future Of Drug Development in China

China has been becoming a research powerhouse in many fields of science, but it still is a minor player when it comes to pharmaceuticals. However, recent developments suggest that China’s role in pharmaceutical research may change in the near future.

36 Web Resources For Target Hunting In Drug Discovery

Choosing the right biological target or a combination of targets is a fundamental task for any successful drug discovery project. All the subsequent efforts -- be it a small molecule hit identification, lead optimization, pharmacokinetic studies, or a clinical trial -- will just be as effective, at the end of the day, as was the initial decision to choose one target or another.

How Latest Drug Candidates Were Discovered? (Retrospective Review, 2016-2017)

How Latest Drug Candidates Were Discovered? (Retrospective Review, 2016-2017)

Recently D.G.Brown and J.Boström of AstraZeneca published an insightful analysis, where they reviewed lead generation research strategies behind 66 small molecule clinical candidates published over 2016-2017 in Journal of Medicinal Chemistry.  

Below is a brief summary of some key statistics and ideas outlined in the work (I encourage reading the original paper, it contains a ton of valuable insights and a strong list of references).

Upcoming Events

Interviews with experts

[Interview] Adoption of AI-driven Tools By The Life Sciences Professionals: What Is Coming In 2018?

[Interview] Adoption of AI-driven Tools By The Life Sciences Professionals: What Is Coming In 2018?

The previous year was rich in discussions and events one way or another related to potential applications of artificial intelligence (AI) advances for the benefit of drug discovery and development.

(Note: For the sake of simplicity, the term “AI” will be applied herein interchangeably with terms like “machine learning” (ML), “deep learning” (DL), “neural networks” (NN) etc., although conceptually, those terms are quite different in meaning. The term AI describes a field of computer science studying how to make a computer intelligent at doing something, while terms like ”machine learning”, “deep learning”, and “neural networks” relate to algorithms and methods by which it can be achieved.).

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

[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!