Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Molecular interactions are central to numerous challenges in chemistry and the life sciences. Whether in solute–solvent dissolution, adverse ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Journal reference: Rajagopalan SS, Zhang Y, Yahia A, Tammimies K. (2024) Machine Learning Prediction of Autism Spectrum Disorder From a Minimal Set of Medical and Background Information.