Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Read more about Privacy-by-design AI targets mind wandering and disengagement in digital classrooms on Devdiscourse ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

The global electronics manufacturing industry is undergoing rapid transformation. The increasing complexity of devices, shrinking component sizes, and the rise ...

Germany: Researchers have identified 1,557 blood-based epigenetic markers that can assess the risk of developing type 2 ...

Researchers at the Johns Hopkins Kimmel Cancer Center have developed a novel liquid biopsy approach to identify early-stage ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...