A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...

n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...

Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort. This is an ...

Local factors such as seasonal temperature, the year-dependent water and vegetation index, and data on animal density can be used to predict regional outbreaks of avian flu in Europe. This is the ...

Discover how machine learning asthma prediction can identify high-risk children early and support personalised care ...

From mapping bacterial gene networks to predicting DNA instability, AI and machine learning are opening new frontiers in genetics and biology. Researchers are using these tools to uncover hidden ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...