Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless interactions happening at once—molecules recognizing each other, signals ...

Dynamic modelling and parameter identification stand at the forefront of advancing robotics, enabling the precise simulation and control of robotic systems in increasingly complex real-world ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

Especially when it comes to manufacturing, problem-solving is an art. Every day, companies within this industry face challenges that test their processes, products and, ultimately, their bottom line.

Overview of the performed field experiments: The UAV and sensors used for data collection (a) and the trial with group locations (the yellow boxes) (b). Soybeans, valued for their use as both oilseeds ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Phase 2 trial of ozuriftamab vedotin (BA3021), a conditionally binding ROR2-ADC, in patients with heavily pretreated squamous cell carcinoma of the head and neck. Mechanisms of resistance to anti-PD1 ...