Artificial Intelligence Medical Compendium

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

Showing 18,151 to 18,160 of 214,278 articles

Identification of non-covalent inhibitors for the atypical peroxiredoxin PRDX5 as a therapeutic strategy in malignant pleural mesothelioma

bioRxiv
Malignant pleural mesothelioma (MPM) is an aggressive asbestos-linked cancer with limited therapeutic options and a dismal 5-year survival rate of ~5%. While aberrant production of reactive oxygen and nitrogen species (ROS/RNS) is a hallmark of MPM, ... read more 

Deep Learning for Cross-Domain Spatial Transcriptomic Modeling of Tissue Repair

bioRxiv
Spatial transcriptomics enables investigation of tissue organization while preserving molecular and spatial information within intact tissues. However, existing computational methods primarily focus on clustering and batch integration and provide lim... read more 

Emergent representations of graphical structure in mechanistic neural models of causal judgment

bioRxiv
Humans have a remarkable ability to judge causal relationships from a limited number of unreliable observations. Past work on causal cognition has largely focused on normative accounts of human behavior, leaving unknown how biologically plausible neu... read more 

Electrodiffusion analysis of concentration and voltage changes in thin cylindrical domains using cross-diffusion modelling

bioRxiv
A major challenge in neuroscience is to predict how currents in nanodomains affect voltage and ionic concentrations. Cable and Rall theory provide analytic current-voltage relations by neglecting concentration gradients, and the impact of concentrati... read more 

Metabolic Self-Organization: Emergence of Autonomous Agency in a Metabolically Constrained LLMs

bioRxiv
Biological organisms are driven by thermodynamic self-preservation, whereas large language models operate as dissipative tools decoupled from existential constraints. We introduce a metabolic model translating this imperative of life into a computati... read more 

Design of DNA Aptamers for Lyme disease Diagnosis Combining experimental and numerical approaches

bioRxiv
Aptamers are single stranded DNA or RNA molecules selected for their high affinity and specificity to bind target molecules, similar to antibodies. They are commonly selected through the SELEX process, which involves the iterative exposure of a rando... read more 

CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data

bioRxiv
Copy number variations (CNVs) are major structural genomic variants that contribute to a wide range of human diseases. Accurate detection of CNVs from whole-exome sequencing (WES) data has been a long-sought goal for clinical and population genetic s... read more 

Deciphering conformational preferences of RNA in protein-RNA recognition

bioRxiv
Conformational plasticity of RNAs plays important roles in recognizing RNA-binding proteins, and is often modulated by their binding partners. Here, we investigate RNA conformational preferences in a non-redundant dataset of 263 protein-RNA complexes... read more 

Word meaning, not surface statistics, is essential for predictive language processing

bioRxiv
Humans comprehend language incrementally, updating the representation of sentence meaning with each incoming word. These updates are guided by the distance between each perceived word and prior expectations--the prediction error. The alignment betwee... read more 

AI predictions and the expansion of scientific frontiers: Evidence from structural biology

bioRxiv
Artificial intelligence holds the potential to expand the frontier of scientific research, yet recent work has raised concern that it may instead narrow scientific attention to well-established areas. Here, leveraging the 2021 release of AlphaFold2 a... read more