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AI At The Frontier: Empowering Early Career Professionals In Drug Discovery

Elrig

With a background in Bioinformatics and Computational Biology, she has a keen interest in using technology to solve problems in healthcare and medicine. Harini joined Serna Bio in early 2021 and has been an integral part of the multidisciplinary teamworking on target ID platform development to drug discovery.

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Next Generation Sequencing (NGS) in Clinical Trials: Challenges and Opportunities

Vial

It has become a fundamental tool for researchers to explore the complexities of genetic information and conduct genetic-informed drug development. Sponsors have used NGS to screen patients for clinical trial eligibility and patient stratification , expanded CDx development, and comprehensive genomic profiling (CGP). Satam et al.

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Boehringer Ingelheim and Twist Bioscience Enter Therapeutic Antibody Discovery Collaboration

The Pharma Data

We have the ability to generate precise antibodies to a diverse range of targets, which together with Boehringer Ingelheim’s strength in drug development capabilities, could mean multiple new, more personalized treatments in the future for patients,” said Emily M. Leproust, Ph.D., CEO and co-founder of Twist. About Twist Biopharma.

DNA 52
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Accelerating Drug Discovery Through Repurposing

DrugBank

The pharmaceutical industry grapples with the persistent challenge of high attrition rates and escalating costs inherent in drug development. This necessitates exploring alternative strategies to expedite drug discovery and optimize resource allocation.

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AI-driven drug discovery: insights from Cresset

Drug Target Review

Just like similar to traditional ML models, underperforming can lead to the identification of drug candidates that appear promising in silico , in computer simulations, but fail in real world testing. This can result in wasted resources, time, effort and not to mention the potential for false hope in the early stages of drug development.

Drugs 64
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Using clinical genomics and AI in drug development to elevate success

Drug Target Review

Drug development: addressing complexity and success rates Drug development is a complex and expensive process, requiring multidisciplinary expertise and high-risk financial investments. The financial burden of drug development is substantial, often exceeding $2 billion per drug.

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Navigating the AI revolution: a roadmap for pharma’s future

Drug Target Review

Planning the journey from data to deliverables The future of AI-enabled drug development benefits from the continued advancement of multimodality and clinical genomics, with a focus on integration, efficiency and personalisation to transform both care and R&D.