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Diffusion

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Moringa oleifera-mediated iron oxide nanoparticles, characterization and their anti-proliferative potential on MDA-MB 231 human breast cancer cells.

Pakistan journal of pharmaceutical sciences
Iron oxide nanoparticles (FeO NPs) stabilized with Moringa oleifera (M.O.) were successfully synthesized. The study aimed to explore the cytotoxic, anti-proliferative and anti-microbial potential of FeO NPs through various assays, including trypan bl...

Machine learning for data-driven design of high-safety lithium metal anode.

STAR protocols
Here, we present a protocol for developing an inorganic-organic hybrid interphase layer using the self-assembled monolayers technique to enhance the surface of the lithium metal anode. We describe steps for extracting organic molecules from open-sour...

Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Physics-informed neural networks (PINNs) can be used to inversely model complex physical systems by encoding the governing partial differential equations and training data into the neural network. However, neural networks a...

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Advances in health care management
Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new t...

Sliding mode control for uncertain fractional-order reaction-diffusion memristor neural networks with time delays.

Neural networks : the official journal of the International Neural Network Society
This paper investigates a sliding mode control method for a class of uncertain delayed fractional-order reaction-diffusion memristor neural networks. Different from most existing literature on sliding mode control for fractional-order reaction-diffus...

ERSegDiff: a diffusion-based model for edge reshaping in medical image segmentation.

Physics in medicine and biology
Medical image segmentation is a crucial field of computer vision. Obtaining correct pathological areas can help clinicians analyze patient conditions more precisely. We have observed that both CNN-based and attention-based neural networks often produ...

Suppressing the HIFU interference in ultrasound guiding images with a diffusion-based deep learning model.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: In ultrasound guided high-intensity focused ultrasound (HIFU) surgery, it is necessary to transmit sound waves at different frequencies simultaneously using two transducers: one for the HIFU therapy and another for the ultr...

Application of Generative Artificial Intelligence in Predicting Membrane Partitioning of Drugs: Combining Denoising Diffusion Probabilistic Models and MD Simulations Reduces the Computational Cost to One-Third.

Journal of chemical theory and computation
The optimal interaction of drugs with plasma membranes and membranes of subcellular organelles is a prerequisite for desirable pharmacology. Importantly, for drugs targeting the transmembrane lipid-facing sites of integral membrane proteins, the rela...

Fast flow field prediction of pollutant leakage diffusion based on deep learning.

Environmental science and pollution research international
Predicting pollutant leakage and diffusion processes is crucial for ensuring people's safety. While the deep learning method offers high simulation efficiency and superior generalization, there is currently a lack of research on predicting pollutant ...

Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties.

IEEE/ACM transactions on computational biology and bioinformatics
In the past decade, Artificial Intelligence (AI) driven drug design and discovery has been a hot research topic in the AI area, where an important branch is molecule generation by generative models, from GAN-based models and VAE-based models to the l...