Umut Gurkan, the Wilbert J. Austin Professor of Engineering, served as lead author on a paper published in Lab on a Chip Journal. Titled “Next generation microfluidics: fulfilling the promise of ...

Growing cells in three dimensions is critical for studying how tissues behave in the body, yet most laboratory platforms remain either too simple or too complex to use widely. Researchers now present ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning–assisted design tool aimed at ...

Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...

Researchers are merging artificial intelligence with microfluidics to create smarter, faster, and more precise lab-on-a-chip technologies. These innovations promise breakthroughs in diagnostics, drug ...