The AI in Business Podcast Building Trust in Data Science in Life Sciences - with Bikalpa Neupane of Takeda
Dec 26, 2023
Bikalpa Neupane, Head of AI and NLP at Takeda, discusses the challenges of siloed data and trust in data science processes in life sciences. Topics include enabling data science in healthcare, centralizing and integrating healthcare data, the importance of trust in drug discovery, and exploring generative AI models in research.
AI Snips
Chapters
Transcript
Episode notes
Data Challenges in Life Sciences
- Life sciences data challenges differ from other sectors due to data complexity and diversity.
- Enabling diverse data sources for downstream analysis is crucial.
Data Diversity in Drug Discovery
- Drug discovery involves diverse data types, including patient, lab, FDA, commercial, and social media data.
- Enabling data from diverse sources is crucial for effective drug discovery.
Building Trust in Life Sciences
- Building trust in life sciences requires addressing data biases and ethical concerns.
- Focus on enabling trust within the life sciences community and external stakeholders.