Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...