A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...

A deep learning platform may help predict how people with advanced lung cancer will respond to immunotherapy, according to study results.Patients determined by a biology-guided AI model to be at high ...

A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Abstract: This paper presents a novel Sliding Mode-Based Nonlinear Model Predictive Control (SM-NMPC) for controlling Unmanned Aerial Vehicles (UAVs) such as Quadrotors and a 10-propeller drone ...

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...

As cities around the world continue to expand and evolve, understanding the dynamics of the housing market becomes increasingly critical for urban planners, ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...