The idea of using artificial intelligence (AI) to accelerate drug discovery process and boost a success rate of ...
(Last updated 08.10.2018) The type of artificial intelligence (AI) which scares some of the greatest minds, like Elon ...
What is a super-platform? A “super-platform” is a term which describes a relatively new phenomenon in a modern ...
Today Basel is crowded with some of the top business and research leaders representing a young and rapidly ...
In The Spotlight
Pharma R&D Outsourcing Is On The Rise
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.
(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.
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.
Interviews with experts
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.).
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!
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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.
“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 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.
Small Molecules Artificial Intelligence Machine Learning In Silico Biotech Startup Big Data MedChem Database CROs R&D Outsourcing Pharmaceutical industry trends Antibiotics Thought-provoking Biologics CRISPR Biopharma Policies, Regulations