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

Drug Discovery World

Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. How AI and ML are influencing drug development Biopharma has experienced significant growth in using these technologies for the past 10 years.

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The future of AI drug discovery & development in immunology and GPCR research

pharmaphorum

With approximately one third of all current FDA-approved drugs targeting GPCRs, Verily/Sosei Heptares are looking to expedite GPCR research within not only immunology, but also gastroenterology and immuno-oncology as well, and the latest data bodes well for future development of therapeutic options in these areas.

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Bioinformatics Jobs: How to Succeed in This Competitive Space

XTalks

The Human Genome Project could not have succeeded without the use of bioinformatics. Since the conclusion of the project in 2003, bioinformatics tools have been used to identify genes and elucidate their function with the aim of developing gene-based strategies for disease prevention, diagnosis and treatment.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

From finding potential active substances and identifying novel targets, to simulating how drugs will function in the human body and optimising laboratory workflows, digital technologies are having a significant impact on drug discovery and development.

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The DDW Podcast: 2023 in review

Drug Discovery World

Developing. Ng is working on critical challenges in clinical trials, specifically in planning and recruitment, and has been building innovative solutions designed to benefit patients and researchers – with a focus on efficiency, transparency and diversity in clinical development. DDW Highlights Innovative. Listen here. Listen here.

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How big data analytics can make personalised care a reality

Drug Discovery World

Johannes Goll, Global Head of Emmes’ Biomedical Data Science and Bioinformatics department, explains how big data analytics can deliver improved therapies and bring clinical research one step close to realising the potential of personalised care. Figure 2: Advanced data visualisation examples for transcriptomics data.

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

The Pharma Data

Kiromic’s deep understanding of the tumor micro environment (TME) and the tumors’ escape and masking mechanisms led to development of a promising platform for chimeric antigen receptor therapy (CAR-T). PD-1 has always been a challenge for CAR-T development. “We believe Prof. About PD-1 Check-point inhibition.

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