Data in Biotech

Exploring OmicSoft's NGS analysis suite for in-depth exploration among datasets, challenges of acquiring NGS data, customer interactions, and the build vs buy dilemma in bioinformatics tools.

In this podcast, Wolfgang from Merck discusses BayBE, an open-source library for Bayesian optimization, its benefits, challenges, and the need for standardized data models. He shares insights on accelerating innovation, experimental design, and advice for scientists in the industry.

This week, we’re delighted to be joined by Annemie Ribbens, VP Science, Evidence and Trials at icometrix, a medical technology manufacturer that offers a portfolio of AI solutions to assist healthcare with various challenges in neurological disorders, such as brain trauma, strokes, dementia, and Alzheimer's disease. During this episode, Annemie opens up on icometrix’s mission in analyzing and treating neurological disorders, the work that went into developing the data infrastructure and the challenges they face when dealing with such large data sets. Annemie also goes on to discuss how machine learning will influence the application of precision medicine in biotech over the next five years and the goals that the company is looking to achieve in the future.  Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences. Chapter Markers: [1:14] Annemie provides us with a brief introduction into her background and what led her to pursue a career in this field. [4:17] Ross asks Annemie about icometrix’s portfolio and what differentiates it from the other tools in the market.  [7:36] Annemie explains how icometrix are helping physicians improve both their understanding and treatment of particular disorders.  [13:31] Annemie dives into the role that the public patient facing app plays and how the data that it gathers feeds the ecosystem.  [22:03] Annemie reveals how their partnerships work.  [28:11] Ross asks Annemie to provide some insights into how icometrix went about developing their data infrastructure. [31:23] Annemie shares the channels involved when processing and analysing large data sets.  [40:01] Annemie explains the methodology that enables icometrix to know what core areas to focus on. [43:07] Annemie reveals one of the projects that she is most proud of.  [45:00] Annemie gives us her thoughts on what the future holds for machine learning.  [47:33] Annemie explains where listeners can go to find out more information on icometrix.  --- If you’re a biotech company struggling to unlock a data challenge, CorrDyn can help. Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today. Visit connect.corrdyn.com/biotech to learn more.

Lana Denysyk, Head of RWD Assets at Novo Nordisk, discusses the use of real-world data in biotech. She explores the diverse data ecosystem in organizations and the importance of understanding which data type best suits specific research questions. Lana also highlights the role of RWD professionals in facilitating broader access to data and the challenges of navigating privacy regulations. The chapter descriptions cover the integration of real-world data into biotech organizations, managing resource constraints, standardized processes, privacy regulations, and developing a data strategy for pharmaceutical companies.

Cody Schiffer, Associate Director, Machine Learning at SMPA, discusses the construction and application of a knowledge graph in biopharma, integrating structured and unstructured data for tasks like literature searches. He explains how the knowledge graph was constructed and updated over time, incorporating unstructured data and applying information weighting. Cody shares lessons learned and the view on the build versus buy question.

This week, we’re delighted to be joined by Vera Mucaj, Chief Scientific Officer at Datavant, a data logistics company for healthcare. During the interview, Vera shares how the organization helps companies overcome issues of data fragmentation and availability, which ultimately leads to better decision-making in healthcare, the importance of connecting clinical trial data with real-world data to improve research outcomes and the challenges of semantic interoperability in data sets. Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences. Discussed: [1:06] Vera introduces herself, explains her role, and explains what drove her to join the scientific field. [4:00] Vera outlines the challenges that Datavant customers face in the acquisition and sharing of medical data. [8:49] Vera unpacks the role Datavant plays in enabling healthcare organizations to produce and consume data to answer important scientific questions. [12:21] Vera addresses the problem of security around data assets and how the company helps producers tackle the risk of the potential de-identification of sensitive patient data. [15:27] Vera explains the most common use cases of the Datavant platform and the value that can be unlocked by consumers of the platform. [22:10] Vera outlines Datavant's business model. [27:06] Vera talks about how Datavant is leveraging AI to generate, analyze and create imputations of data sets. [31:09] Vera discusses the regulatory and cultural barriers to making data available in healthcare. [38:53] Vera shares her thoughts on semantic interoperability between data sets. [44:31] Vera shares the resources that she follows to better understand the work of Datavant. --- If you’re a biotech company struggling to unlock a data challenge, CorrDyn can help. Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.  Visit connect.corrdyn.com/biotech to learn more.

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences. This week, we’re delighted to be joined by James Winegar, CEO of CorrDyn, a data-driven technology consultancy that helps some of the largest biotechnology manufacturers in the US make smarter strategic decisions by unlocking the value of their data. In this conversation, James and Ross discuss the application of machine learning in biotech manufacturing quality control, their work in providing a custom oligo manufacturer with a data analysis system to track whether certain manufacturing events are anomalous or part of regular operations, and how trust issues between internal teams can lead to conflict, misunderstandings, and ultimately failure to deliver ROI.  --- CorrDyn is the proud producer of Data in Biotech. --- If you’re a biotech company struggling to unlock a data challenge, CorrDyn can help. Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.  Visit connect.corrdyn.com/biotech to learn more.

Harry Rickerby, Co-founder of Briefly Bio, discusses using large language models to streamline experimental design in life sciences. The podcast covers improving collaboration and reproducibility in biotech, the importance of metadata and structured data, and integrating LLMs in experimental design. Learn more about the platform and resources through their website and social media.

Jesse Johnson, Founder of Merelogic, discusses the challenges of bridging the gap between biologists and data scientists in biotech startups. They explore the potential for automation and AI in biotech research. They also discuss the cultural components and stakeholder groups in biotech organizations and the importance of collaboration between data teams and scientists. The chapter 'Foam for Data Apps in Biotech' explores the potential of a low code app development framework in the biotech industry.

Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences.  This week, we're delighted to be joined by Tommy Tang, Director of Computational Biology at Immunitas Therapeutics - an immuno-oncology therapeutics company advancing multiple programs to the clinic. Host Ross Katz speaks with Ming “Tommy” Tang about the scalability of the cloud and its impact on improving biotech data, Keeping data in-house vs. big data warehouses (and the messiness of public data), where ML should best play in computational biology and so much more.  --- If you’re a biotech company struggling to unlock a data challenge, CorrDyn can help. Whether you need to supplement existing technology teams with specialist expertise or launch a data program that lays the groundwork for future internal hires, you can partner with Corrdyn to unlock the potential of your business data - today.  Visit connect.corrdyn.com/biotech to learn more.