Research Results
New test helps doctors predict a dangerous side effect of cancer treatmentCertain proteins in cerebrospinal fluid could act as key indicators for a harmful side effect of cancer immunotherapy, offering hope for early treatment or even prevention of this neurotoxic condition.
Professor Kunisaki Yuya
Faculty of Medical Sciences
More than meets the eye: an adrenal gland tumor is more complex than previously thoughtNew research uncovers the hidden diversity of adrenal gland tumors, shedding light on how they cause unusual medical symptoms and paving the way for new drug treatments.
Assistant Professor Maki Yokomoto-Umakoshi
Kyushu University Hospital
Scientists uncover insights into neuron function by simultaneously measuring two key signals in living animalsBy simultaneously measuring membrane voltage and calcium levels in neurons, scientists reveal that these two signals encode different sensory information.
Professor Takeshi Ishihara
Faculty of Sciences
Unlocking the ‘black box’: scientists reveal AI’s hidden thoughtsResearchers introduce a new method to assess how deep neural networks interpret information, ensuring its reliability and robustness for real-world applications.
Associate Professor Danilo Vasconcellos Vargas
Faculty of Information Science and Electrical Engineering
AI beats experts in predicting future quality of “mini-organs”Organoids, sometimes known as “mini-organs”, are crucial for regenerative medicine, drug discovery and basic research. Now, deep-learning models can predict if they are developing properly.
Professor Hirohiko Niioka
Data-Driven Innovation Initiative
Developing an antibody to combat age-related muscle atrophyUtilizing rat muscle culture, researchers developed an antibody that prevents the age induced dysfunction of hepatocyte growth factor (HGF), a critical protein for skeletal muscle development, regeneration, and repair
Professor Ryuichi Tatsumi
Faculty of Agriculture
Building roots in glass, a bio-inspired approach to creating 3D microvascular networks using plants and fungKyushu University researchers develop new method for building complex 3D microfluidic networks in glass by growing plant roots and fungal hyphae in silica nanoparticles
Professor Fujio Tsumori
Faculty of Engineering