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Looking ahead to AACR  

Drug Discovery World

Programme highlights The topic tracks include everything from clinical trials, drug development, immunology and bioinformatics, to global health, survivorship, prevention and tumour biology, to name just a few.

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Big data – charting a new path to drug discovery and development

Drug Discovery World

How AI and ML are influencing drug development Biopharma has experienced significant growth in using these technologies for the past 10 years. However, other areas of the drug development pathway, such as target discovery, biomarker discovery, and product manufacturing, are increasingly looking to AI and ML to improve outcomes.

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Article FDA Thank You Leaders at FDA share highlights and updates for drugs and biologics at RAPS Convergence

Agency IQ

Joneckis said that CBER has “some limited uses that we have seen in external submissions, mostly in the bioinformatics area,” but not as many as CDER. Regarding artificial intelligence (AI), an important topic at RAPS Convergence, the two centers discussed external and internal use cases.

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Synthetic biology tools advancing and accelerating drug discovery efforts

Drug Discovery World

Synthetic libraries for antibody drug discovery . Developing therapeutic antibodies, one of the most successful approaches in drug development, involves identifying and characterising antibodies to be used as treatment against different types of cancers as well as autoimmune and cardiovascular diseases.

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