Dan M. Frangopol honored by University of Rostock at international workshop
Grant and Award Announcement
Updates every hour. Last Updated: 28-Oct-2025 23:11 ET (29-Oct-2025 03:11 GMT/UTC)
Some colourful lizards and a mathematical formula from the finance sector have been used to build a new framework to model evolution.
Artificial intelligence can solve problems at remarkable speed, but it’s the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists are creating sophisticated formulas that enable AI to interpret massive biological datasets to uncover how diseases start, how the immune system responds, and what treatments might work best.
Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins that are currently out of reach of AI tools like AlphaFold. The new approach uses automatic differentiation, traditionally a deep learning tool, to optimize protein sequences for desired properties.