Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

Deep learning can both strengthen the building blocks of future networks and uncover hidden risks in widely used applications ...

Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...

Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar disorder could eventually lead to faster, less costly assessments outside ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...

A research team has developed an innovative automated method, SSP-MambaNet, designed to address the challenge of identifying and counting missing virus-free strawberry seedlings in nutrient pots ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Higher education teaching faculty are exploring the use of old-school teaching and testing methods to prevent students from ...

Researchers developed and validated a label-free, non-invasive method combining AFM with deep learning for accurate profiling ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Students across many countries now tap a screen more often than they hear a bell. In a few years, online learning platforms ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...