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Tag: pharma

Using customer needs to drive Blockchain innovation

Manuela Maria Schöner, part of the Corporate Strategy & Consulting division at Boehringer Ingelheim, spoke to us recently about her work with blockchain. She described her perspective on the use of data in the industry, and how Blockchain could become a key tool in meeting the needs of the primary stakeholders: patients.

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How should healthcare stakeholders differentiate hype from reality with blockchain technology?

In my previous post, I discussed the likely applications of Blockchain technology in the short, medium, and long-term future. These applications follow on from the key strategic priorities necessitated by the healthcare industry’s trend towards digital decentralized care delivery models.

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Lab Data Automation, Optimizing R&D Workflows and Lead Discovery from Biologically Complex Bioassays

With an increasing amount of data being generated today, pharma and biotech companies need to develop new technologies and strategies in order to structure, analyse and integrate this big data. If you weren’t able to attend our Global Pharma R&D Informatics & AI Congress, we have made these slides from Ralph Haffner, Dana Caulder and Pierre Farmer available.

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Use and misuse of CRISPR/Cas9 genome editing

Since its discovery in 2012, the use of the CRISPR/Cas9 system to edit genomes has raised the expectations for the cure of untreatable disorders. Very often, as biomedical geneticists we found ourselves talking about the potentials and drawbacks of CRIPSR/Cas9 both at scientific and layman level.

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Human Genomic Evidence: Revolutionising the identification and prioritisation of targets for better medicines

Nine out of 10 potential drugs that enter clinical trials never make it to the market. Failure often occurs because the biological target chosen is not well understood. However, it is hard to objectively select targets with a high chance of clinical success because the data required to predict efficacy and safety are complex, dispersed and incomplete. To address this challenge, Open Targets was founded in 2014 as a public-private partnership by GSK, EMBL-EBI and the Wellcome Sanger Institute. The consortium has grown since its launch, welcoming new partners Biogen in 2016, Takeda in 2017, and Celgene in 2018.

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Cutting through the hype: Brandon Allgood talks AI and machine learning

When we last spoke, Brandon Allgood told us about The Future of AI. This week, we caught up with Brandon and spoke about drug discovery and machine learning algorithms.

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Analytics and Big Data in Pharma

Drug discovery and development is a complex process that requires integration of multiple data points, experiments and calculated risk/benefit assumptions. It is therefore only natural that virtualization and big data analytics are a natural fit for implementations, expected to demonstrate significant cost-effective gains for the betterment of society, providing access to effective and safe medications.

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Without challenge, there is no change – the move to precision medicine

I don’t need to tell you that pharma has changed, that it is still changing at speed, or that change is the new normal. I don’t need to tell you because you − more than anyone else − already know. The passing of the blockbuster era has caused uncertainty. Without the superstar drugs of old, where does the industry go next? It’s a serious challenge, but without challenge, there is no change. The answer, of course, is the scalar shift from blockbuster generic to precision medicine specific.

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