AIMC Topic: Humans

Clear Filters Showing 43451 to 43460 of 95995 articles

The promise of artificial intelligence for kidney pathophysiology.

Current opinion in nephrology and hypertension
PURPOSE OF REVIEW: We seek to determine recent advances in kidney pathophysiology that have been enabled or enhanced by artificial intelligence. We describe some of the challenges in the field as well as future directions.

Screening membraneless organelle participants with machine-learning models that integrate multimodal features.

Proceedings of the National Academy of Sciences of the United States of America
Protein self-assembly is one of the formation mechanisms of biomolecular condensates. However, most phase-separating systems (PS) demand multiple partners in biological conditions. In this study, we divided PS proteins into two groups according to th...

The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning.

Sensors (Basel, Switzerland)
The need for a smart city is more pressing today due to the recent pandemic, lockouts, climate changes, population growth, and limitations on availability/access to natural resources. However, these challenges can be better faced with the utilization...

Application of the deep learning algorithm in nutrition research - using serum pyridoxal 5'-phosphate as an example.

Nutrition journal
BACKGROUND: Multivariable linear regression (MLR) models were previously used to predict serum pyridoxal 5'-phosphate (PLP) concentration, the active coenzyme form of vitamin B6, but with low predictability. We developed a deep learning algorithm (DL...

Multi-type feature fusion based on graph neural network for drug-drug interaction prediction.

BMC bioinformatics
BACKGROUND: Drug-Drug interactions (DDIs) are a challenging problem in drug research. Drug combination therapy is an effective solution to treat diseases, but it can also cause serious side effects. Therefore, DDIs prediction is critical in pharmacol...

Deep neural network trained on gigapixel images improves lymph node metastasis detection in clinical settings.

Nature communications
The pathological identification of lymph node (LN) metastasis is demanding and tedious. Although convolutional neural networks (CNNs) possess considerable potential in improving the process, the ultrahigh-resolution of whole slide images hinders the ...

AI-based structure prediction empowers integrative structural analysis of human nuclear pores.

Science (New York, N.Y.)
INTRODUCTION The eukaryotic nucleus pro-tects the genome and is enclosed by the two membranes of the nuclear envelope. Nuclear pore complexes (NPCs) perforate the nuclear envelope to facilitate nucleocytoplasmic transport. With a molecular weight of ...

Analysis Model of Human Resource Cross-Media Fusion Based on Deep Neural Network.

Computational intelligence and neuroscience
With the continuous deepening of enterprise system reform and the rapid development of national economy, enterprises are facing the great challenge of market competition. In the new market and social environment, the role of human resource management...

Personalized College English Learning Based on Deep Learning under the Background of Big Data.

Computational intelligence and neuroscience
Generally, in-depth learning has been extensively employed in numerous industries to enhance the growth of economic globalization since the dawn of the big data age. At the same time, the demand for foreign language talent has risen dramatically, and...

Construction of Tourism E-Commerce Platform Based on Artificial Intelligence Algorithm.

Computational intelligence and neuroscience
In the late twentieth century, with the rapid development of the Internet, e-commerce has emerged rapidly, which has changed the way people travel around the world. The greatest advantages of e-commerce are the flow of information and data and the im...