BioRad.io Podcast Series

Each month, join Kashef Qaadri, a biologist turned bioinformatician, as he interviews guests exploring real-world research informatics challenges through use-cases, providing insights and strategies for integrating and analyzing complex data that are driving biopharma research and development.

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Episode 10: Next-Generation Therapeutic Antibody Discovery

Over the past three decades, since the first monoclonal antibody was approved for clinical use in the U.S., antibody techniques and technologies have advanced radically. However, the supporting informatics have evolved at a much slower pace. There are significant informatic challenges throughout the research process, from concept to regulatory submission. How can a holistic informatics strategy support gaining clearer insights into scientific operations, make smarter decisions about their campaigns, and ultimately bring therapeutics to the clinic faster? Guest: Colby Souders, PhD, Chief Scientific Officer, Abveris

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Duration: 33:14 | File size: 40.1 MB | Recommended browsers: Google Chrome, Mozilla Firefox

Episode 9: The Future of Open Access Research Data

Data liquidity, the ability of data to flow easily and securely, provides tremendous value for biopharma researchers. Open access is paving the way for increased collaboration and discovery. However, additional initiatives are needed to further promote the management and sharing of scientific data and ensure that information is quickly available to researchers. This episode highlights the needs, solutions, and challenges of ensuring interoperability of research data throughout the data lifecycle.

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Duration: 33:14 | File size: 40.1 MB | Recommended browsers: Google Chrome, Mozilla Firefox

Episode 8: Data Sharing and Collaboration

Increasingly, pharma is looking at partnerships and collaborations to increase the velocity of drug discovery and development. Common data sharing platforms are not built to meet lab-specific requirements. In addition to discussing the necessity of simple and secure collaboration, listeners will learn about the dangers of not using proper tools.

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Duration: 33:14 | File size: 40.1 MB | Recommended browsers: Google Chrome, Mozilla Firefox

Episode 7: Data Standardization

As biopharma research and development continues to transform digitally, the industry as a whole struggles with guidance on how data and relevant metadata are captured, managed, and shared. Typically experimental data are siloed, stored in varying formats, difficult to retrieve and share. However, data needs to be better managed to be more collaborative and interoperable. How can data standardization help forge a path so that systems can find and access data with minimal human intervention?

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Duration: 28:29 | File size: 32.8 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 6: Genomic Data Disparities

Sequencing is used to identify novel drug targets and genetically stratifying clinical trial patients, improving the power of precision medicine. However, the global disparity of genomic technologies is increasing. How will this affect drug development, particularly for non-European ethnicities? Why is it important to have a global context for targeted therapies?

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Duration: 28:13 | File size: 00.0 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 5: Lab of the Future (LoTF)

Life science companies are looking to modernize their research environments and build the Lab of the Future. From robots automating experiments to more sophisticated smart machines that communicate with users, how will the Lab of the Future accelerate research and ensure the accuracy and efficiency of experiments, reducing the risk of human error and improving safety?

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Duration: 28:47 | File size: 33.1 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 4: Active Learning in Drug Discovery

What are the theories, algorithmic principles, and limitations of active learning? What are some current applications of active learning within BioPharma drug screening and optimization? How can active learning accelerate multi-dimensional drug discovery? Find out here.

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Duration: 28:03 | File size: 32.3 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 3: Next-Generation Data Integration, Visualization, and Exploration

What is the vision of interactive data exploration beyond enriching visualizations and facilitating the integration of data? Within the context of research, what are the challenges and opportunities in building next-generation visual analytics? Listen to find out.

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Duration: 29:00 | File size: 33.4 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 2: The Realities of AI/ML

Artificial Intelligence (AI) and Machine Learning (ML) are big topics getting lots of attention within BioPharma. What is the role of AI/ML in genomics? How can we take advantage of these advanced methods to exploit complex data, allowing elusive patterns to be identified for drug discovery? How can AI be used to advance research and development “from data to knowledge?” How can we separate the hype of AI/ML from reality? Find out here.

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Duration: 29:33 | File size: 34.0 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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Episode 1: Moving to the Cloud

Why are research organizations moving to the Cloud? Learn why they decided to initiate the move, what issues they’ve tackled, what their biggest challenges were, and where they’re going next.

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Duration: 21:50 | File size: 25.2 MB | Recommended browsers: Google Chrome, Mozilla Firefox

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