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 ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

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 predictive procurement approach simulates which suppliers are viable alternatives within a given window and recommends them ...

Automation, AI, and human organoids enable researchers to move away from outdated 2D cell cultures and animal models, ...

When a group of 20 adults living with psychosis gathered in a Yale recording space to co-write and record original songs, the ...

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 ...

The FAA's SMART system would predict air traffic conflicts two hours ahead. Palantir, Thales, and Air Space Intelligence are ...

In the world of highly competitive digital platforms, the main attraction for the business is the user's attention. In some ...

Abstract: In this paper, a novel solution for addressing the control allocation problem for over-actuated autonomous aircraft is presented. Inparticular, a detailed High Altitude Performance ...