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

Drug Discovery World

For example, Sanofi, Pfizer, Gilead, Novartis, BMS, Genentech, and Bayer have all announced significant alliances to integrate these big data technologies into drug discovery operations. This knowledge enabled cell line engineering campaigns that boosted yield and stability across various production bottlenecks.

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Bioinformatics Jobs: How to Succeed in This Competitive Space

XTalks

The minimum requirement to become a professional in the bioinformatics field includes having a bachelor’s and master’s degree in bioinformatics, computer engineering, computational biology, computer science, or related field. Bioinformatics Engineer. How to Become a Bioinformatics Engineer. Job Description.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Technologies like artificial intelligence (AI), machine learning (ML) and robotics/automation are enabling researchers to process enormous data sets and conduct preclinical investigations in record time, speeding up the process and offering greater accuracy. AI brings exciting opportunities to generate new insights and improve processes.

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The DDW Podcast: 2023 in review

Drug Discovery World

In September, Shelley Ackerman, a biological engineer turned immunologist with a passion for drug discovery and development, spoke about the work being carried out at Bolt BioTherapeutics, where she is the Director & Program Team Lead. A deep dive into US drug discovery What lies in the future for genomics and big data?

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AI, big data and real world evidence – the challenges and opportunities

pharmaphorum

One of the main reasons to use RWE is to counter a common criticism of the large phase 3 trials that for so long have been the ‘gold standard’ when developing drugs and gaining authorisations from regulators. Savana is built following the highest privacy-by-design standards and with medical reliability engineered by doctors for doctors.

Big Data 135
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Kiromic Announces the Filing of Key European Patents for Its Chimeric PD-1 (chPD1) Target

The Pharma Data

The pipeline development is leveraged through the Company’s proprietary target discovery engine called “DIAMOND.” ” Kiromic’s DIAMOND is big data science meeting target identification, dramatically compressing man-years and billions of drug development dollars to develop a live drug.

In-Vivo 40
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The rise of real-world evidence: unlocking the potential in EHRs

pharmaphorum

Savana’s platform guarantees patient safety through de-identified, anonymised data and a statistical model called Natural Privacy. It’s a statistical model, which by design, guarantees confidentiality and satisfies the requirements of Hospital ethics committees, NHS regulations and Life Science industry policies.

Doctors 116