In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast ...

Cardiovascular diseases, known as CVDs, are the reason, behind fatalities globally accounting for 17.9 million deaths in 2019 representing 32% of all deaths 1. Among these fatalities 85% were ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...

Retinal photography can help identify regions of the retina associated with risk factors for Alzheimer disease.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

With tens of millions of annual cases, gonorrhea is the second most frequently reported sexually transmitted infection (STI).

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...

Korea Deep Learning's Document AI secured the #1 overall ranking on ParseBench, a global document parsing benchmark, beating ...

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 ...