BioRad.io

Bio-Rad Laboratories, Inc.
  • 4.9 (39)
  • LIFE SCIENCES
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BioRad.io

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 R&D.

  1. 08/13/2024

    Episode 21: The Future Lab — Innovations in Digital Transformation

    Episode 21: The Future Lab — Innovations in Digital TransformationDiscover how the future biopharma lab will enable seamless collaborations and data-driven insights, catalyzing research advancements. Equipped to integrate data streams, automate repetitive tasks, and accelerate experimentation, the future lab promises transformative impact. Technologies — from AI-driven analytics to high-throughput screening platforms — will revolutionize how scientists explore drug candidates and unravel disease mechanisms faster and more efficiently. Listen to this episode to learn how the future lab will facilitate digital innovations and transform biopharma R&D.  Guest: Asha D'Souza, PhD, CEO, Ashtrix, Inc.

    32 min
  2. Episode 20: Unified Insights — Bridging the R&D Data Divide

    04/25/2024

    Episode 20: Unified Insights — Bridging the R&D Data Divide

    Data silos and challenges around data fragmentation and interoperability hinder holistic insights and innovation in research and development. Specifically, these challenges include retrieving, parsing, and cleansing data from various sources and formats, ensuring data security and privacy. However, at the center of data interoperability is the role of the patient. The patient brings data together and provides potential for transformative insights and accelerated innovation through a unified approach to data management. With a comprehensive strategy that integrates genomic, phenotypic, clinical, and device data, enhancing drug discovery and fostering innovation can be expedited, effectively bridging the existing data divide.Guest: Ardy Arianpour, CEO & Cofounder, SEQSTER

    27 min

  3. 12/19/2023

    Episode 19: Reimagining Cancer Drug Development

    Episode 19: Reimagining Cancer Drug DevelopmentIn this episode, we discuss the way cancer drug development can be reimagined using AI and machine learning. Traditional drug development faces a high failure rate, highlighting the importance of understanding a drug's mechanism of action to improve success rates. AI and computational models that analyze data from various modalities, such as genomics and clinical information, can identify novel targets and enhance precision medicine. Advancements in data availability, especially in the clinic, and a deeper biological understanding are fundamental to revolutionize future drug discovery.Guest: David Li, Co-Founder and CEO, Meliora Therapeutics, Inc.

    32 min

  4. 08/07/2023

    Episode 18: The Future of Microbial Drug Discovery

    Microbial drug discovery holds immense promise in revolutionizing healthcare. Although fungi and other microbes have long been a source of natural compounds with therapeutic potential, advancements in technology have made the search for new candidates easier than ever. By harnessing the power of artificial intelligence and machine learning, researchers can rapidly explore the rich genetic diversity of fungi and predict therapeutic potential. This convergence of science and technology will undoubtedly drive the future of microbial drug discovery, leading to the development of groundbreaking treatments for various diseases.Guest: Karen Wong, PhD, Computational Biologist, Hexagon Bio

    31 min
  5. Episode 17: Biomarker Identification for Early Disease Detection

    05/09/2023

    Episode 17: Biomarker Identification for Early Disease Detection

    Episode 17: Biomarker Identification for Early Disease DetectionWhen diseases such as cancers are detected in their early stages, before they have spread, the overall survival rate is significantly higher than when diagnosed in later stages. Developing biomarker tests that detect early-stage tumors is complex and difficult, but quite rewarding, leading to improved characterization, treatment, and management of cancer. Determining which types of data (genomic, proteomic, etc.) are most informative is a major challenge requiring extensive research and discovery. In this episode, we discuss the need for early detection tools, methods for developing them, and some of the informatics challenges, including algorithm and model development, handling large volumes of data from multiple sources, and data integration.Guest: Peter Meintjes, PhD, CEO, Pacific Edge, Ltd.

    30 min
  6. Episode 16: Digital Precision Medicine

    02/14/2023

    Episode 16: Digital Precision Medicine

    Episode 16: Digital Precision MedicinePrecision 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

    31 min
  7. Episode 15: Optimizing Drug Target Identification through Artificial Intelligence

    10/11/2022

    Episode 15: Optimizing Drug Target Identification through Artificial Intelligence

    Traditionally, drug targets are found by scouring scientific publications for insights into molecular pathways or known causative genetic variants, linked to disease. The failure rate of drug candidates in the clinic, even in relatively late-stage clinical trials, is quite high and is extremely costly. Fundamentally, finding better targets will lead to development of better medicines. In this episode, we discuss how artificial intelligence (AI) and the increasing availability of complex biological datasets can be leveraged to identify molecular targets. Machine learning models trained on large amounts of data allow researchers to differentiate between states or conditions more specifically to predict disease-relevant targets.Guest: Avantika Lal, PhD, Senior Genomic Data Scientist, insitroCopyright © 2022 Bio-Rad Laboratories, Inc.All rights reserved.

    31 min
  8. Episode 14: The Rise of Digital Therapeutics

    06/14/2022

    Episode 14: The Rise of Digital Therapeutics

    Digital therapeutics are software-driven, evidence-based products used to prevent, manage, or treat a medical disease or disorder. Digital therapeutics enable patients to be more aware of and play a more active role in managing their health and can improve access for patients for whom visiting a clinician is challenging. This significantly improves health outcomes and reduces healthcare demands as compared to more traditional interventions alone. Digital therapeutics are expected to grow dramatically over the next few years, but significant challenges around regulation and adoption remain. Listen in as we discuss the current state of the industry and where this technology may take us in the future.Guest: Emily Lewis, MS, CCRP, Global Digital Transformation Lead, Neurology, UCBCopyright © 2022 Bio-Rad Laboratories, Inc. All rights reserved

    31 min
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4.9
out of 5
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About

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 R&D.

Information

  • Creator
    Bio-Rad Laboratories, Inc.
  • Years Active
    2019 - 2024
  • Episodes
    21
  • Rating
    Clean
  • Copyright
    © Copyright 2025 BioRad.io
  • Show Website
    BioRad.io

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