BioRad.io
Latest Episodes
Episode 11: The Synthetic Biology Revolution
Synthetic biologists develop modular parts and use them to build new, useful constructs. Recent advances in synthetic biology have led to medical breakthroughs. In this episode, we discuss the growing use of synthetic biology in biopharma.
Episode 9: The Future of Open Access Research Data
Episode 9: The Future of Open Access Research Data
Episode 8: Data Sharing and Collaboration
Episode 8: Data Sharing and Collaboration
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,
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.
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 early discovery to preclinical research, how can technology help automate the lab and accelerate discoveries?
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 discove...
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?
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 separate the hype of AI/ML from reality? Listen in to find out this and more.