Gene sequencing studies have uncovered mutations in key oncogenes responsible for colorectal cancer (CRC) development. CRC tumors exhibit significant heterogeneity, and a subset of tumors harbor other key genetic and epigenetic alterations that drive carcinogenesis. Now, researchers from Japan have characterized gene mutations in CRC tumors with high tumor mutation burden that lack mutations in the major oncogenes. Their findings highlight alternate site-specific mechanisms of CRC development that can guide treatment selection.

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian optimization for efficient sampling, they achieved a maximum blocking force of 37.0 mN—73 times more efficient than conventional methods. These findings could help develop remote-controlled actuators for medical devices and robotics, supporting applications such as minimally invasive surgery and precision drug delivery.

An Osaka Metropolitan University team has developed an explainable AI model for automatic collision avoidance between ships.