A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...

A new wearable sensor system detects overeating in real time, using video and thermal data to analyze behavioral patterns and improve obesity interventions.

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

Researchers have developed a non-invasive stool test that detects colorectal cancer with nearly 90% accuracy by analyzing gut ...

Retinal scans, aided by artificial intelligence, may soon offer doctors a simple, non-invasive way to detect several medical ...

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

While cardiac research has mainly focused on heart attacks as isolated episodes, Assistant Professor Vineet Augustine of the ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Artificial intelligence is changing a lot of things, and healthcare is definitely one of them. Specifically, ai ...