Nature

Automatic detection of sister chromatid exchanges using machine learning models and image analysis algorithms

After DNA replication, two chromatids with identical genetic information are formed in organisms; these are called sister chromatids. Sister chromatid exchange (SCE) is a recombination event between ...
Nature

Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases

The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to ...
EurekAlert!

Evolutionary mental state transition model helps machine learning algorithms track emotions

Seeking to improve automatic emotion tracking, which detects and monitors emotions over time, a group of researchers in the field of human-computer interaction decided to approach the task by modeling ...
ascopubs.org

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...