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Biopharma Insights


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

   by Andrii Buvailo    4517
[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!

Three Insights For Immuno-oncology Drug Discovery

   by Alfred Ajami    6103
Three Insights For Immuno-oncology Drug Discovery

Immunotherapies are hot property. Immuno-oncology is the crown jewel. But the road to riches, and more importantly cancer cures, is now crowded and full of potholes. Drug hunters need to look ahead, beyond the discovery process itself, to the reality of the many impediments that will confront drug candidates as they proceed towards the clinic in today's landscape. Here, I present three insights from current events, the third one taking a contrarian position.

8 Biopharma Trends and Top Startups to Follow in 2017

   by Andrii Buvailo    8776
8 Biopharma Trends and Top Startups to Follow in 2017

Pharmaceutical industry is rapidly evolving, influenced by emerging novel technologies and recent advances in Life Sciences and Big Data analysis, new government policies and regulations, and a changing market conjuncture.

Let’s review some of the most powerful trends that will dominate the industry in 2017 and promising biopharmaceutical startups riding their waves.

The Power Of Machine Learning For Drug Discovery

   by Andrii Buvailo    4941
The Power Of Machine Learning For Drug Discovery

An IBM’s executive Deborah DiSanzo just announced a collaboration with a pharmaceutical giant Pfizer to speed up anticancer drug discovery. This is yet another sign of a technological transformation unfolding in biopharmaceutical industry.

The newly formed partnership will bring the power of IBM’s supercomputer Watson and its artificial intelligence system to help researchers at Pfizer advance “immuno-oncology”, a potentially promising area for cancer research.