In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Researchers have used a machine learning model ... contained 2,523 compounds and included compounds with both senolytic and non-senolytic properties so as not to bias the machine-learning algorithm.

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

A novel ML algorithm (named ‘AutMedAI’) capable of early autism spectrum disorder (ASD) detection with minimal background and medical information.

MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators utilizes a large amount of market data to train a model to predict the future movement of ...

Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed other algorithms in predicting ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

The machine learning algorithm was "taught" using the patient’s sex, age, ECG findings and medical history, in addition to troponin levels, to identify the probability that a heart attack had ...