Sleepy Papers

In this episode, we explore the groundbreaking research that bridges biology and technology, suggesting that our brain cells, known as neurons and astrocytes, could hold the key to understanding the enigmatic AI models called Transformers. As you drift into slumber, let our soothing narrative guide you through the harmonious dance of these cells, orchestrated to the rhythm of complex equations. This is more than a podcast; it's a lullaby for the curious mind, blending education with relaxation for a truly unique bedtime experience.

Episode Links:

• Link to the paper: http://dx.doi.org/10.1073/pnas.2219150120

• Link to news material this episode is based on: https://news.mit.edu/2023/ai-models-astrocytes-role-brain-0815

In this soothing and enlightening episode, we take you on a serene journey into the world of cancer research, where mathematics and medicine converge to create new pathways for treatment. Join us for a session of learning and relaxation as we unravel the complex yet hopeful world of cancer treatment through the lens of mathematical modeling and dynamic biomarkers.

Episode Links:

• Link to paper: http://dx.doi.org/10.1158/0008-5472.CAN-22-2558

• Link to news material this episode is based on: https://www.moffitt.org/newsroom/news-releases/moffitt-researchers-use-mathematical-modeling-and-dynamic-biomarkers-to-characterize-metastatic-disease-during-adaptive-therapy/

Join us as we unravel how artificial intelligence and advanced imaging techniques from Carnegie Mellon University are reshaping our understanding of cells, diseases, and cellular organization. Witness the convergence of technology and biology, unlocking a new era of insights into the intricate machinery of life itself.

Episode Links:

• Link to paper: http://dx.doi.org/10.1038/s41592-023-01939-3

• Link to GitHub: https://github.com/chenhcs/SCS

• Link to news material this episode is based on: https://www.cs.cmu.edu/news/2023/spatial-transcriptomics