Artificial Intelligence Medical Compendium

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

Showing 50,651 to 50,660 of 225,062 articles

Cortical maps diverge, representations converge along cortical hierarchy

bioRxiv
Brain maps (e.g. retinotopy, somatotopy) vary across individuals. This is thought to reflect underlying computational differences. However, artificial neural networks (ANNs) show that similar performance and internal representations can coexist with ... read more 

Discovery of TDP-43 aggregation inhibitors via a hybrid machine learning framework

bioRxiv
TAR DNA-binding protein 43 (TDP-43) aggregation is a hallmark of several neurodegenerative diseases, including amyotrophic lateral sclerosis and frontotemporal dementia. Recent therapeutic efforts have highlighted the potential of small molecules cap... read more 

TOXsiRNA: A web server to predict the toxicity of chemically modified siRNAs

bioRxiv
Small interfering RNAs (siRNAs) are largely modified with chemical molecules to enhance their properties for use in molecular biology research and therapeutic applications. Toxicity effects may arise due to these chemical moieties as well as sequence... read more 

Feature-based in-silico model to predict the Mycobacterium tuberculosis bedaquiline phenotype associated with Rv0678 variants

bioRxiv
Bedaquiline resistance is emerging globally and threatens the effectiveness of the novel short all-oral regimens for rifampicin-resistant tuberculosis. Following a systematic literature review, we quantified 13 sequence, biochemical, and structural f... read more 

Machine learning-guided design of artificial microRNAs for targeted gene silencing

bioRxiv
Artificial microRNAs (amiRNAs) offer a powerful strategy for targeted gene silencing, but their rational design is limited by complex sequence-structure-processing relationships and the lack of tools capable of optimizing efficacy and specificity. To... read more 

Calmodulin controls spatial and temporal specificity of calcium-induced calcium release

bioRxiv
Calcium dynamics controls learning and memory. Changes in calcium-induced calcium release (CICR), which is caused by opening ryanodine receptors (RyR) located on endoplasmic reticulum (ER) membrane, have been implicated in neurodegenerative disorders... read more 

Parameter-free representations outperform single-cell foundation models on downstream benchmarks

bioRxiv
Single-cell RNA sequencing (scRNA-seq) data exhibit strong and reproducible statistical structure. This has motivated the development of large-scale foundation models, such as TranscriptFormer, that use transformer-based architectures to learn a gene... read more 

ChatDIA: A zero-shot large language model workflow for targeted analysis of data-independent acquisition mass spectrometry data

bioRxiv
Data-independent acquisition (DIA) proteomics enables reproducible, large-scale protein identification and quantification but remains challenging to analyze due to highly complex MS/MS spectra and chromatographic interference, particularly in low sig... read more 

ARGformer: learning on ancestral recombination graphs with transformers

bioRxiv
Recent advances in inference of the ancestral recombination graph (ARG), which describes how segments of chromosomes trace back through recombination and shared lineages, have made it possible to reconstruct genome-wide genealogies for large cohorts,... read more 

A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis

bioRxiv
Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predisposes to hematological diseases. Here, we constructed a comprehensive single-cell transcriptomic atlas comprising 186,123 CD34+ HSPCs spanning early pren... read more