Bree Foster, PhD
Bree Foster is a science writer at Drug Discovery News with over 2 years of experience at Technology Networks, Drug Discovery News, and other scientific marketing agencies. She holds a PhD in comparative and functional genomics from the University of Liverpool and enjoys crafting compelling stories for science.
Articles by Bree Foster, PhD
| 7 min read
Unified data platforms are key to breaking down silos, improving data accessibility, and enabling more efficient, accurate, and predictive workflows across the drug development lifecycle.
| 5 min read
Recent advancements in imaging technologies are transforming spatial proteomics by enhancing data throughput, resolution, and multiplexing capabilities.
| 4 min read
Pharmaceutical companies are investing in supply chain visibility, ethical sourcing, and proactive strategies to build resilience and protect patient access.
| 4 min read
Pharma supply chains are adopting real-time data and automation to manage shortages and build long-term resilience.
| 6 min read
Integrated software and AI are accelerating drug discovery through faster analysis and smarter decisions.
| 5 min read
Advances in microfluidics are enabling more powerful, high throughput applications in single cell and therapeutic discovery.
| 4 min read
A new benchtop system enables real-time live single-cell functional analysis for immune response, antibody discovery, and cell therapy.
| 4 min read
Synthetic DNA is increasingly used for gene therapies due to its fast production and improved scalability compared to traditional plasmid-based methods.
| 4 min read
Innovations like ClinFAST™ are streamlining the fill/finish process, reducing timelines while maintaining high-quality standards for clinical materials.
| 5 min read
A groundbreaking approach targets muscle stem cells to restore regeneration in Duchenne muscular dystrophy, offering new hope beyond traditional dystrophin-focused therapies.
| 5 min read
Advances in flow cytometry are accelerating drug discovery by enabling high-throughput, automated single-cell analysis.
