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Leveraging AI for Drug Discovery in early stage Biotech Companies
Many biotech firms lack the basic data infrastructure to properly exploit digital tools and AI-technologies like machine learning, computer vision, entity normalization, network analysis, etc, and they don’t employ their own data scientists. However, some investors are specifically looking at biotech companies combining the DNA of both pharmaceutical and digital technology groups. Funding is only …
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Five Reasons to Embrace Data-Driven Drug Development
The growth of the pharmaceutical and biotechnology industry depends on successful clinical trials. The cost of developing a new drug that gets approval is estimated at around $2-3 billion. The longer the trial lasts and the more patients it has involved, the larger the loss. The researchers at Johns Hopkins Bloomberg School of Public Health …
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To unlock innovation, pharma needs to be honest about failure
Many successful leaders agree that a company’s willingness to embrace and learn from failure can unlock innovation – and it’s a lesson the pharmaceutical industry would do well to learn. Take Jeff Bezos, for example. As the CEO of Amazon, he encourages designing bold experiments that may lead to failure. After Amazon acquired Whole Foods, …
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Why data analytics should be Pharma’s new core competency
Defining your company’s core competency—what you do really well—can set you apart and secure a trajectory of success. Pharma’s core competency has evolved over the years. Initially, it was research and companies that were fortunate enough to discover major blockbuster drugs enjoyed profitable periods of market exclusivity. However, once the pharma market consolidated into large …
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Why machines need to speak the language of Life Sciences
Do you remember the days when NLP, known as Neuro-Linguistic Programming was all the rage in self-help books and motivational speaking? You remember the self-help gurus preaching the use of Neuro-Linguistic Programming as a method to help you achieve near superpowers to attain your goals by “modelling” the skills of so-called exceptional people. Well, since …
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