The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
A new study revealed that cellular kinetics, observable over a period of time rather than in a single snapshot, holds important information about long-term cellular quality and stemness. The proposed ...
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction ...
T cell activation—the process by which these key immune defenders recognize threats and mobilize against them—depends on exquisitely timed molecular signals. Now researchers have captured one of the ...
Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.
This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” on cell cultures to quickly identify presence of contamination Only requiring a ...