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Redefining Acceleration of the Drug Development Journey

PPD

It is hard to ignore some of the most pressing, long-term trends driving the push to accelerate innovation and progress in drug development. It demands a comprehensive, collaborative approach that reduces complexity and allows for just-in-time decision-making throughout the drug development journey. billion in 2023 to 1.2

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AstraZeneca and Regeneron to research, develop and commercialise new small molecule medicines for obesity

The Pharma Data

Novel small molecule drug candidates will target GPR75 to potentially address obesity and related co-morbidities. The companies will evenly split research and development costs and share equally in any future potential profits. Yancopoulos, M.D.,

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Antibody Drug Conjugates: windows of opportunity

Drug Target Review

Over the last two decades, an increasing number of Antibody Drug Conjugate (ADC) therapeutics have been approved for oncology indications. These therapies have broadened treatment options for patients to expand beyond the more traditional small molecule drug alternatives. 3D rendering of Antibody Drug Conjugate Molecules.

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Bayer and Broad Institute extend cancer therapy research collaboration

Broad Institute

Bayer and Broad Institute extend cancer therapy research collaboration By Corie Lok November 2, 2023 Breadcrumb Home Bayer and Broad Institute extend cancer therapy research collaboration Long-standing industry-academia collaboration has already resulted in three clinical oncology candidates.

Therapies 105
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The Collaboration Between Industry and Academia in Drug Development

DrugBank

Drug development is challenging, including not only the complexities of biomolecular drug mechanisms but also the convolutions of regulatory pathways and commercialization strategies. This includes funding large-scale clinical trials and establishing robust manufacturing/distribution networks.

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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. This was seen in the case of the BRAF V600E mutation test for melanoma patients receiving vemurafenib.

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Navigating the challenges and opportunities of AI in drug development and personalised medicine

Drug Target Review

Artificial Intelligence (AI) is poised to transform the field of target discovery in drug development, offering immense potential to enhance efficacy, personalised medicine, and accelerate the development of innovative compounds.