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Explore every episode of the podcast BioRad.io

Dive into the complete episode list for BioRad.io. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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1–23 of 23

TitlePub. DateDuration
Episode 23: From Bench to Machine — Making Research Data AI-Ready 10 Nov 202500:29:25
Learn how AI can help you manage complex biological data in biopharma. Explore strategies for better software, databases, and data standardization to stay compliant, enable innovation, and build a strong foundation for AI-driven drug discovery.
Episode 22: Accelerating Innovation — The New Era of AI-Driven Drug Discovery 10 Nov 202500:32:40
Explore how AI is transforming drug discovery. Learn how generative and agentic AI, data integration, and workflow optimization can accelerate research, overcome challenges, and drive collaboration in pharmaceutical R&D.
Episode 21: The Future Lab — Innovations in Digital Transformation13 Aug 202400:32:26
Discover the future lab, an ecosystem where digital transformations shape the landscape of biopharma research, driving innovation and unlocking the potential of tomorrow's therapies.
Episode 20: Unified Insights — Bridging the R&D Data Divide 25 Apr 202400:26:41
Data silos and challenges around data fragmentation and interoperability hinder holistic insights and innovation in R&D. Employing strategy around the patient at the center of data interoperability can provide accelerated insights and innovation through a unified approach to data management.
Episode 19: Reimagining Cancer Drug Development19 Dec 202300:32:11
Historically, cancer drug development has a high failure rate. Why is that, and how can we facilitate success? Listen in as we chat with the co-founder of a company that is trying to shift the paradigm using AI and machine learning.
Episode 18: The Future of Microbial Drug Discovery07 Aug 202300:31:19
From antibiotics to cancer drugs, fungi and other microbes have long been a rich source of medicinal compounds. In this episode, we discuss how one company sequences and mines novel fungal genomes to discover and engineer new therapeutics.
Episode 17: Biomarker Identification for Early Disease Detection09 May 202300:30:15
Early detection of cancer and other diseases can significantly improve patient prognosis. Join us for a practical discussion about the challenges of developing noninvasive early screening tools, from biomarker identification to clinical performance.
Episode 16: Digital Precision Medicine14 Feb 202300:30:41
Precision medicine is a multifaceted approach to designing and delivering individualized patient treatments. Using multi-omic, environmental, lifestyle, and other data, researchers aim to more accurately develop treatment and prevention strategies tailored to each unique patient. The promise of precision medicine is huge, but it also creates new challenges around data capture, storage, computation, and creation of algorithms for prediction and analysis. In this episode, we discuss the evolution of precision medicine and some ways these challenges are and can be addressed, including blockchain, remote patient monitoring, and strategic data integration. Guest: Kumar Bala, Former Head of Digitalomics Strategy, Oracle
Episode 15: Optimizing Drug Target Identification through Artificial Intelligence11 Oct 202200:31:07
The relatively high failure rate of new candidate drugs is a key issue in pharma and biopharma R&D. Listen in as we discuss how artificial intelligence, machine learning, and the ever-increasing availability of biological datasets can improve prospects.
Episode 14: The Rise of Digital Therapeutics14 Jun 202200:30:30
Digital therapeutics are software-driven, evidence-based healthcare products. They can improve patient access to and involvement in their care, improving outcomes. Join us as we discuss the recent rise in digital therapeutics and what the future may hold.
Episode 13: The Realities of Personalized Medicine12 Apr 202200:29:05
Personalized medicine is critical to the future of healthcare. However, implementation faces unique challenges. What changes are needed for personalized medicine to truly become a reality? What are some of the biggest obstacles? Listen in as we discuss.
Episode 12: The Future of Data Management16 Dec 202100:27:51
High-throughput technologies have triggered a surge in scientific data generation and consumption, but managing these volumes of data is challenging. Listen as we discuss data fabric, an emerging solution that connects data sources in one environment.
Episode 11: The Synthetic Biology Revolution07 Sep 202100:30:02

Synthetic biology is the design, testing, and construction of new, standardized biological parts and devices, and programming them to do something productive. Significant medical breakthroughs are already happening as a result of advances in synthetic biology. From antiviral treatment and immune cell engineering to biomonitoring, the applications of synthetic biology are endless, creating new opportunities for innovative informatics. In this episode, we discuss revolutionary applications of synthetic biology in biopharma.

Guest: Mark Charbonneau, PhD, Director and Head of Quantitative Biology, Synlogic

Episode 10: Next-Generation Therapeutic Antibody Discovery01 Jun 202100:31:23

Technologies for therapeutic antibody R&D have evolved rapidly, but the informatics needed to support these processes have struggled to keep up. In this episode, we discuss challenges in antibody discovery and benefits of improved informatics.

Episode 9: The Future of Open Access Research Data01 Mar 2021

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.

Episode 8: Data Sharing and Collaboration08 Dec 2020

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.

Episode 7: Data Standardization08 Sep 2020
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,
Episode 6: Genomic Data Disparities10 Jun 2020
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?
Episode 5: Lab of the Future (LoTF)12 Feb 2020
Life science companies are looking to modernize their research environments and build the Lab of the Future. From early discovery to preclinical research, how can technology help automate the lab and accelerate discoveries?
Episode 4: Active Learning in Drug Discovery15 Jan 2020
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 discove...
Episode 3: Next-Generation Data Integration, Visualization, and Exploration11 Dec 2019
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?
Episode 2: The Realities of AI/ML12 Nov 2019
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 separate the hype of AI/ML from reality? Listen in to find out this and more.
Episode 1: Moving to the Cloud08 Oct 201900:21:50

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