The Map of AI Startups in Drug Discovery

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36 Web Resources For Target Hunting In Drug Discovery

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... read more

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Pharma and Healthcare AI Vendors Join Forces To Accelerate Progress In Drug Discovery

Pharma and Healthcare AI Vendors Join Forces To Accelerate Progress In Drug Discovery

Today Basel is crowded with some of the top business and research leaders representing a young and rapidly growing industry of artificial intelligence (AI) in healthcare and pharmaceutical research. They come together to announce mission and launch activities of a global Alliance for Artificial Intelligence in Healthcare (AAIH), which is to become a leading international organization for advancing artificial intelligence innovations in Drug Discovery, Clinical Research, Diagnostics, Precision Medicine and other key areas of pharmaceutical research and healthcare. The newly formed alliance will be a voice of the industry in matters of education, lobbying for policies and regulations, facilitating investment, and promoting AI-innovations among top drug makers and healthcare institutions.

19 Online Marketplaces Facilitating Life Science Research

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.

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.

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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!

Editor's Pick: A Video Blog

How AI Is Applied To Metabolomics To Identify New Targets And Drugs

   by Andrii Buvailo    1484

The team at MIT created the most comprehensive database of metabolites, their interactions with proteins, protein-protein interactions, drug-protein interactions, and associations of metabolites with diseases. They then use the obtained interactions map to make inferences about the disease mechanisms and novel targets. With this new technology, the team launched a biotech startup ReviveMed in 2016 having raised $1.5M of funding so far.

Network Driven Drug Discovery Using AI

   by Andrii Buvailo    1698

“One-target-one-disease” paradigm has been around for decades, prompting numerous drug discovery programs focusing on identifying small molecules for targeting only one specific protein (or other targets) believed to be responsible for the disease mechanism.

Evaxion Biotech Uses AI To Develop Anticancer And Antimicrobial Vaccines

   by BiopharmaTrend    1663

This is an interview with Niels Iversen Møller, a CEO, and Co-founder of Evaxion Biotech -- an immuno-informatics biotech from Denmark.

Evaxion Biotech uses its machine learning-based platform to compare DNAs of tumor cells and DNAs healthy cells and identify mutations that are critical for the disease. This data is further used to design anticancer vaccines.

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