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Researchers have used machine learning and supercomputer simulations to investigate how tiny gold nanoparticles bind to blood proteins. The studies discovered that favorable nanoparticle-protein interactions can be predicted from machine learning models that are trained from atom-scale molecular dynamics simulations. The new methodology opens ways to simulate efficacy of gold nanoparticles as targeted drug delivery systems in precision nanomedicine.
A study has identified strategies for using large language models (LLMs), a type of artificial intelligence (AI), in health systems while maintaining cost efficiency and performance. The findings provide insights into how health systems can leverage advanced AI tools to automate tasks efficiently, saving time and reducing operational costs while ensuring these models remain reliable even under high task loads.
Researchers have discovered that in a foraging ant's search for food, it will leave pheromone trails connecting its colony to multiple food sources when they're available, successfully creating the first model that explains the phenomenon of trail formation to multiple food sources.
Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a laptop, a process that previously took a supercomputer weeks or months.
Researchers look to deep learning techniques in order to streamline the time-consuming process of identifying 2D materials.
A 'deep learning' artificial intelligence model can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more accurately, than people. The development could dramatically speed up the pace of disease-related research. It also holds potential for improved medical diagnosis, such as detecting cancer from a biopsy image in a matter of minutes, a process that typically takes a human pathologist several hours.
Researchers have developed a three-dimensional mathematical model of prostate cancer. The model depicts various processes, including tumour growth, genetic evolution and tumour cell competition.
Scientists have advanced their NeuroMechFly model, simulating fruit fly movement in the real world. With integrated vision and smell, NeuroMechFly v2 helps us understand brain-body coordination, setting a path for neuroengineering's role in robotics and AI.
Research describes a computational model that captures the intricate muscular architecture of an octopus arm.
A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors, say researchers.
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