Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,771 to 1,780 of 200,546 articles

Revisiting CPUs for Protein Folding: Xeon-Based Acceleration of AlphaFold2

bioRxiv
Protein structure prediction via AlphaFold2 has revolutionized drug discovery, yet its end-to-end execution remains computationally intensive. While GPUs are traditionally favored for deep learning, the AlphaFold2 algorithm consists of heterogeneous ... read more 

Physical activity promotes longitudinal white matter brain adaptations that support fluid intelligence with age

bioRxiv
The aging population continues to grow, and along with it the need to better understand the unique characteristics of the aging brain. Despite the cortical thinning and myelin degeneration that occurs in later life, many individuals are resilient to ... read more 

Gap junctional coupling of molecular layer interneurons enables transient NMDA driven synchronization

bioRxiv
Molecular layer interneurons (MLIs) play a crucial role in modulating the output of the cerebellar cortex through their inhibition of Purkinje cells. MLIs also inhibit other MLIs synaptically and are coupled electrically through gap junctions. While ... read more 

Accurate Identification of Functional Residues Across the Human Proteome with TAMALE

bioRxiv
The central challenge of the post-AlphaFold era is the "functional gap". Despite having structure predictions for nearly every human protein, we remain unable to systematically distinguish residues that drive activity from those that merely maintain ... read more 

DMPKformer: An Interpretable Multimodal Deep Learning Framework for Reliable ADMET Property Prediction

bioRxiv
Accurate prediction of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties remains a critical challenge in drug discovery. Traditional single modality approaches often fail to capture the complex, multi-scale relationship... read more 

SortIT - A Tool For Assessing Observer Variability And Creating Ground Truth Image Classification Datasets

bioRxiv
Interobserver variability in pathological assessments is a well-recognized challenge that impacts diagnostic reliability and disease understanding. This variability exists across many subspecialties due to the subjective nature of evaluations. Artifi... read more 

13C flux ratio analysis with FRAPPPE reveals differences in metabolic fluxes between gut Bacteroidota and Escherichia coli

bioRxiv
Gut bacteria shape the metabolism of their host and play an important role in human health. However, systems biology approaches to study their intracellular metabolic fluxes are largely underdeveloped. We present an experimental and computational wor... read more 

DINMC: A Deep Learning Framework for Interpretable Normative Model Construction and Pathological Brain Alteration Detection

bioRxiv
Background and Objective: Normative modeling is a key tool for understanding brain alterations in neurodegenerative diseases, such as cerebellar-type multiple system atrophy. However, existing methods lack interpretability and fail to capture clinica... read more 

Bimodal masked language modeling for bulk RNA-seq and DNA methylation representation learning

bioRxiv
Oncologists are increasingly relying on multiple modalities to model the complexity of diseases. Within this landscape, transcriptomic and epigenetic data have proven to be particularly instrumental and play an increasingly vital role in clinical app... read more 

Deconvolution improves cryo-EM maps

bioRxiv
With technological advancements in recent years, single particle cryogenic electron microscopy (cryo-EM) has become a major methodology for structural biology. Structure determination by single particle cryo-EM is premised on randomly orientated part... read more