AI Medical Compendium Journal:
Proceedings of the National Academy of Sciences of the United States of America

Showing 111 to 120 of 334 articles

Chemistry-informed molecular graph as reaction descriptor for machine-learned retrosynthesis planning.

Proceedings of the National Academy of Sciences of the United States of America
Infusing "chemical wisdom" should improve the data-driven approaches that rely exclusively on historical synthetic data for automatic retrosynthesis planning. For this purpose, we designed a chemistry-informed molecular graph (CIMG) to describe chemi...

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation.

Proceedings of the National Academy of Sciences of the United States of America
Collagen is the most abundant structural protein in humans, providing crucial mechanical properties, including high strength and toughness, in tissues. Collagen-based biomaterials are, therefore, used for tissue repair and regeneration. Utilizing col...

Data-driven emergence of convolutional structure in neural networks.

Proceedings of the National Academy of Sciences of the United States of America
Exploiting data invariances is crucial for efficient learning in both artificial and biological neural circuits. Understanding how neural networks can discover appropriate representations capable of harnessing the underlying symmetries of their input...

Socially situated artificial intelligence enables learning from human interaction.

Proceedings of the National Academy of Sciences of the United States of America
Regardless of how much data artificial intelligence agents have available, agents will inevitably encounter previously unseen situations in real-world deployments. Reacting to novel situations by acquiring new information from other people-socially s...

Multilevel development of cognitive abilities in an artificial neural network.

Proceedings of the National Academy of Sciences of the United States of America
Several neuronal mechanisms have been proposed to account for the formation of cognitive abilities through postnatal interactions with the physical and sociocultural environment. Here, we introduce a three-level computational model of information pro...

Cooperative learning for multiview analysis.

Proceedings of the National Academy of Sciences of the United States of America
We propose a method for supervised learning with multiple sets of features ("views"). The multiview problem is especially important in biology and medicine, where "-omics" data, such as genomics, proteomics, and radiomics, are measured on a common se...

Geometry of neural computation unifies working memory and planning.

Proceedings of the National Academy of Sciences of the United States of America
Real-world tasks require coordination of working memory, decision-making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here, we propose that contingency representation...

Taxonomic classification of DNA sequences beyond sequence similarity using deep neural networks.

Proceedings of the National Academy of Sciences of the United States of America
Taxonomic classification, that is, the assignment to biological clades with shared ancestry, is a common task in genetics, mainly based on a genome similarity search of large genome databases. The classification quality depends heavily on the databas...

Will microfluidics enable functionally integrated biohybrid robots?

Proceedings of the National Academy of Sciences of the United States of America
The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics to sustain, improve, and scale the architectural complexity of their core ingredient: biological tissues. Advances in microfluidics have already revo...

Logic-enabled textiles.

Proceedings of the National Academy of Sciences of the United States of America
Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a...