Latest

Machine learning

Predicting Biochemical Recurrence After Robot-Assisted Prostatectomy with Interpretable Machine Learning Model

A recent study published in the Journal of Clinical Medicine has reported the development and evaluation of machine learning models to predict biochemical recurrence after robot-assisted radical prostatectomy. The research aims to improve the accuracy of prostate cancer treatment outcomes by leveraging machine learning algorithms and clinical data from 1125

Machine learning

Advancements in Nano-Manipulation Technologies: From Manual to Autonomous Control

Researchers have made significant progress in nano-manipulation technologies since Richard Feynman's vision of atomically precise manufacturing. Three foundational pillars have enabled these advancements: observation, construction, and manipulation. Key platforms include scanning tunneling microscopy (STM), atomic force microscopy (AFM), optical tweezers, and scanning electron microscopy (SEM). The SEM, in