A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Researchers say the smartphone app could empower patients to better understand their disease and make disease management ...

The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable ...

Machine learning (ML) and artificial intelligence (AI) have revolutionized battery diagnostics by sifting through volumes of ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Scientists have used machine learning to improve the efficacy and safety of targeted cell and gene therapies by potentially ...

Breast cancer poses a real and immense threat to humankind, thus a need to develop a way of diagnosing this devastating disease early, accurately, and in a simpler manner. Thus, while substantial ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...