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Unlocking the potential of mRNA for the future treatment of rare diseases 

Drug Discovery World

As we turn our focus to new potential applications and disease areas for the platform, scientists and companies must consider the potential life-saving impact on rare, inherited diseases, says Archana Gupta , PhD, staff scientist in genetic sciences at Thermo Fisher Scientific.

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AI test could predict best cancer therapies for patients

pharmaphorum

The technique uses artificial intelligence (AI) to analyse protein data harvested from tumour cells, using an algorithm trained by looking at changes to 52 proteins when they are exposed to a panel of targeted anticancer drugs. The post AI test could predict best cancer therapies for patients appeared first on.

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Ensuring reliable assays: Why the ideal microplate is an invisible one

Drug Discovery World

Early operations focused on the discovery of green fluorescent protein (GFP), which played a very big role in early drug discovery research operations using cellular assays. We find that scientists in early-stage drug discovery are very creative, very innovative and extremely helpful.

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Precision cancer therapies: Where are we?

Drug Discovery World

The Avacta Therapeutics Science Day brought together senior company scientists and international oncology experts to provide an overview of the current development of the company’s cancer drug pipeline and the latest innovations in targeted oncology.

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Blood Donor Day 2023: Experts weigh in 

Drug Discovery World

Besides looking at donor characteristics, our platform, which we call Excellos 360TM, includes the assessment of metabolic and effector potential of cells, and genetic analysis.