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

Drug Discovery World

Interestingly, at least 80% of all rare diseases originate from monogenic mutations, meaning that they arise from mutations in a single gene 4. Therefore, the risk for off-target insertional mutagenesis is greatly reduced. In addition, it may be easier to target the therapeutic molecule to the correct cell or tissue.

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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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International Women’s Day 2024: A Spotlight on 5 Women’s Health Webinars with Xtalks

XTalks

The company’s ResolveOME multiomic workflow provides a comprehensive multiomic analysis of breast cancer through the use of exome hybrid capture alongside a single-cell workflow for single-cell resolution of single nucleotide variants (SNVs), copy number alterations and gene expression signatures, coupled with a targeted protein panel.

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Blood Donor Day 2023: Experts weigh in 

Drug Discovery World

BCA members also operate the BCA Advanced Therapies Network which is a diverse, fully integrated portfolio of blood, cell, gene and tissue materials that support the development and delivery of advanced therapies. One example we are following with anticipation are the two FDA approvals for the first gene therapies for sickle cell disease.

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What to expect from SLAS Europe 2023

Drug Discovery World

SLAS Student Poster Award The SLAS Student Poster Award recognises innovative research by students, graduate students, post- doctoral associates and junior faculty (less than four years in first academic appointment) who are chosen to present a poster during SLAS Europe 2023.

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