Artificial Intelligence Medical Compendium

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

Showing 43,171 to 43,180 of 223,853 articles

Developing SCL2205 : A Protein Sequence-based Spatial Modelling Dataset for the Protein Language Model Frontier

bioRxiv
Deep learning (DL) has advanced computational genome annotation tasks such as protein sub-cellular localisation (SCL) prediction. Nonetheless, its potential remains underutilised, primarily because of the limited availability of high-quality referenc... read more 

Reaction-Conditioned Enzyme Discovery with Multimodal Deep Learning

bioRxiv
The precise mapping between chemical transformations and enzymatic catalysts underpins the complexity of metabolic networks. Conventional discovery methods, tethered to sequence homology or structural alignment, are inherently blind to new reactions.... read more 

PhosSight: a Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

bioRxiv
Protein phosphorylation is a key regulator of signaling, with mass spectrometry (MS) based phosphoproteomics serving as the premier technology for its analysis. However, phosphorylation profiling is hindered by acquisition biases: Data-Dependent Acqu... read more 

Deep learning as a generator of sodium channel state hypotheses.

The Journal of general physiology
Lopez-Mateos et al. show that AlphaFold 2 can generate structural ensembles of NaV channels and that β-subunits and calmodulin reshape these ensembles, while emphasizing that these are testable structural hypotheses, not actual thermodynamic populati... read more 

EEG based detection of schizophrenia using asymmetry of entropy and CNN-LSTM model.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Schizophrenia is a severe neuropsychiatric disorder with a significant impact on individual's real-life functioning. It is characterized by abnormal asymmetry in the neural activities of the brain reflecting functional and cognitive impairment. The i... read more 

Resilience-by-design in engineering Bacillus cell factories.

Trends in biotechnology
Industrial Bacillus strains face overlapping stresses-heat, pH, oxidative, osmotic, and toxic metabolites-during large-scale fermentation. Traditional single-stress approaches are insufficient for robustness. We propose a 'resilience-by-design' parad... read more 

Evaluating Large Language Models-Generated Health Education Materials for Discharged Patients with Diabetes: A Comparative Analysis.

Journal of diabetes science and technology
BACKGROUND: Diabetes is a chronic condition requiring long-term management, and continuous health education is vital for improving disease awareness and self-management. Large language models (LLMs), advanced artificial intelligence systems trained o... read more 

Representation Biases: Variance Is Not Always a Good Proxy for Importance.

eNeuro
A central approach in neuroscience is to analyze neural representations as a means to understand a system's function, through the use of methods like principal component analysis, regression, and representational similarity analysis. These analyses o... read more 

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning.

Open heart
BACKGROUND: Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study aimed to identify preprocedural factors to predi... read more 

AGPAT3 reshapes tumor cell vulnerability to IFNγ-mediated ferroptosis and enhances immunotherapy efficacy through lipid remodeling.

Journal for immunotherapy of cancer
BACKGROUND: Ferroptosis plays a critical role in immune regulation and tumor microenvironment remodeling. However, its therapeutic potential in enhancing immune checkpoint inhibitor (ICI) efficacy remains incompletely understood and warrants further ... read more