Remove Development Remove Genomics Remove Genotype Remove Medicine
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Inferring human genomes at a fraction of the cost promises to boost biomedical research

Scienmag

To discover these associations, researchers need to compare the genomes of many individuals at millions of genetic locations or markers, and therefore require cost-effective genotyping technologies. A new statistical method, developed […].

Genome 57
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Cancer, genomics and personalised medicine: Modelling the future of oncology

pharmaphorum

Personalised medicine in practice – where are we now in cancer? How the shift towards cancer as a phenotype/genotype is being applied in clinical trials and how they are run •What are co-clinical trials and why could they hold the key to answering unmet need in cancer treatment and beyond into broader drug development? •How

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Why early participant engagement is now a top priority in genetic disease research

pharmaphorum

However, the Resilience Project’s scientists had used genomic data originally collected for other studies and, due to limitations in the original studies’ informed consent policies and a lack of infrastructure to recontact participants, none of the 13 individuals could be contacted with follow-up questions or requests.

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FDA Makes Low-Risk Determination for Marketing of Products from Genome-Edited Beef Cattle After Safety Review

The Pharma Data

Decision Regarding Slick-Haired Cattle is Agency’s First Enforcement Discretion Decision for an Intentional Genomic Alteration in an Animal for Food Use. The IGA results in the equivalent genotype (genetic make-up) and short-hair coat trait seen in some conventionally bred cattle, known as a “slick” coat. Today, the U.S.

Genome 52
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Endometriosis partners to discover personalised treatments

Drug Discovery World

PrecisionLife and the University of Oxford have signed a data access agreement to license the Oxford Endometriosis Gene (OXEGENE) dataset to develop new personalised treatments for endometriosis patients. We hope that the analysis of our data will lead to the development of precision medicines to improve the lives of patients.”

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Supercharging AI-drug discovery with strategic multiomic biobanks 

Drug Discovery World

Artificial Intelligence (AI) has become a popular buzzword in the drug discovery and development lexicon but not all approaches to AI-driven drug discovery produce meaningful insights that translate into real compounds which ultimately demonstrate clinical efficacy in human trials. But the utility of biobanks varies.

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Can genetic data be a magic bullet for drug R&D?

pharmaphorum

Drug development has long been an issue for the pharma industry, due to the expense and the high failure rate of potential treatments. Ben Hargreaves finds that the vast amount of genetic data that exists today could help provide a faster, more targeted way of developing new drug candidates.