Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

Autonomous navigation is a technology that enables Unmanned Aerial Vehicles (UAVs) to perceive its surroundings using onboard sensors and navigate safely and efficiently from a starting point to a ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a new method combining deep learning with physical radiative transfer ...

Multimodal HCC TME data (high-throughput sequencing, protein expression, and time-series imaging) were integrated. Spatial features were extracted using convolutional neural networks (CNNs), while ...