Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Organoid technologies have emerged as transformative tools in biomedical research, enabling the generation of ...

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

Artificial intelligence has become one of the most sought-after skills in the modern workforce. Organisations across industries are investing heavily in AI, machine learning, automation, and ...

Abstract: Due to the fast dynamic response and ability to handle the constraints, model predictive control (MPC) is becoming an exciting and widely applied approach for permanent magnet synchronous ...

Abstract: As the updating frequency decreases, the stagnation effect poses a challenge to the accuracy of model-free predictive control (MFPC) based on signal gradients. To mitigate this issue from ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...

WHEN A LARGE language model (LLM) gives a cardiologist a poor answer, it is not always the model that is the only problem. More often ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of ...

Discover how a new technique that captures chemical arrangements across materials can improve predictions of how complex ...