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

Showing 121 to 130 of 334 articles

Deep learning for unravelling features of heterogeneous ice nucleation.

Proceedings of the National Academy of Sciences of the United States of America

Deep learning predicts DNA methylation regulatory variants in the human brain and elucidates the genetics of psychiatric disorders.

Proceedings of the National Academy of Sciences of the United States of America
There is growing evidence for the role of DNA methylation (DNAm) quantitative trait loci (mQTLs) in the genetics of complex traits, including psychiatric disorders. However, due to extensive linkage disequilibrium (LD) of the genome, it is challengin...

On-demand anchoring of wireless soft miniature robots on soft surfaces.

Proceedings of the National Academy of Sciences of the United States of America
Untethered soft miniature robots capable of accessing hard-to-reach regions can enable new, disruptive, and minimally invasive medical procedures. However, once the control input is removed, these robots easily move from their target location because...

Model-free prediction test with application to genomics data.

Proceedings of the National Academy of Sciences of the United States of America
Testing the significance of predictors in a regression model is one of the most important topics in statistics. This problem is especially difficult without any parametric assumptions on the data. This paper aims to test the null hypothesis that give...

Digital computing through randomness and order in neural networks.

Proceedings of the National Academy of Sciences of the United States of America
We propose that coding and decoding in the brain are achieved through digital computation using three principles: relative ordinal coding of inputs, random connections between neurons, and belief voting. Due to randomization and despite the coarsenes...

Synthetic growth by self-lubricated photopolymerization and extrusion inspired by plants and fungi.

Proceedings of the National Academy of Sciences of the United States of America
Many natural organisms, such as fungal hyphae and plant roots, grow at their tips, enabling the generation of complex bodies composed of natural materials as well as dexterous movement and exploration. Tip growth presents an exemplary process by whic...

From data to noise to data for mixing physics across temperatures with generative artificial intelligence.

Proceedings of the National Academy of Sciences of the United States of America
Using simulations or experiments performed at some set of temperatures to learn about the physics or chemistry at some other arbitrary temperature is a problem of immense practical and theoretical relevance. Here we develop a framework based on stati...

A hierarchy of linguistic predictions during natural language comprehension.

Proceedings of the National Academy of Sciences of the United States of America
Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations, from phonemes to meaning. It has been suggested that the brain uses prediction to guide the interpretation of incoming input. However,...

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level.

Proceedings of the National Academy of Sciences of the United States of America
We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically synthesize programs using few-shot learning and OpenAI's...

Machine learning-based inverse design for electrochemically controlled microscopic gradients of O and HO.

Proceedings of the National Academy of Sciences of the United States of America
A fundamental understanding of extracellular microenvironments of O and reactive oxygen species (ROS) such as HO, ubiquitous in microbiology, demands high-throughput methods of mimicking, controlling, and perturbing gradients of O and HO at microscop...