AIMC Journal:
bioRxiv

Showing 2591 to 2600 of 4979 articles

Automatic parameter estimation and detection of ringed seal knocking vocalizations

bioRxiv
Passive acoustic monitoring is a valuable tool for studying elusive marine mammals, but analyzing large datasets is typically labor-intensive and costly. In this study, we piloted an automatic approach for sound analysis on extensive datasets of acou...

A neural network model delivers a highly prognostic protein signature in cancer stem cells that identifies relapse in stage III colorectal cancer patients.

bioRxiv
Background Stage III colorectal cancer poses a significant threat of metastasis development, as tumour resection and adjuvant chemotherapy do not guarantee prolonged disease-free survival. Objective The spatial, quantitative, and qualitative characte...

An Advanced Humanized Systemic Lupus Erythematosus Model Enables Parallel Profiling of B Cell-Targeted Therapies

bioRxiv
B cell-targeted therapies represent a transformative frontier for systemic lupus erythematosus (SLE) intervention, yet clinical recommendation of specific treatment is hampered by the challenge to perform head-to-head comparisons of efficacy-toxicity...

Circuit-Specific Resting-State fMRI Signatures for Stratifying First-Episode Major Depressive Disorder and Predicting Recurrence Risk

bioRxiv
Background: Depression is biologically heterogeneous, and first-episode depression (FED) carries a high risk of recurrence that is poorly captured by symptom-based assessment. Early identification of patients likely to relapse, as well as reliable id...

Artemis: Harnessing Knowledge Graphs for Next-Generation Drug Target Prioritization

bioRxiv
Knowledge graphs (KGs) have become an important asset in biomedical research and drug discovery by enabling the structured integration of heterogeneous biological knowledge. When combined with machine learning (ML), KGs support the identification of ...

miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery

bioRxiv
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by widespread dysregulation of gene expression and regulatory pathways. MicroRNAs (miRNAs) act as key post-transcriptional regulators by modulating messenger RNAs (mRNAs),...

LSD Reconfigures Cortical Dynamics Through Faster Brain Rhythms and Increased Fractal Dimension

bioRxiv
Lysergic acid diethylamide (LSD) profoundly alters conscious experience, yet the electrophysiological mechanisms by which it reshapes neural dynamics remain incompletely understood. A hallmark of psychedelic states is widespread cortical desynchroniz...

Machine learning-based image analysis of Parkinson's disease iPS-derived neurons predicts genotype and reveals mitochondria-lysosome abnormalities

bioRxiv
Mitochondrial and lysosomal dysfunction are central features of Parkinson's disease (PD) across major genetic forms including PRKN, SNCA, and LRRK2. We applied cell morphomics, a machine-learning-based framework combining high-content imaging with qu...

An Artificial Intelligence-based framework for protein interaction design with accelerated KAN-based Positive-Unlabeled learning

bioRxiv
Protein design seeks optimal amino acid sequences for target structures, but designing stable protein complexes remains challenging. We introduce a protein interaction design pipeline combining Monte-Carlo simulation with Metropolis-criteria (MCM) an...

Machine Learning Ensemble Reveals Distinct Molecular Pathways of Retinal Damage in Spaceflown Mice

bioRxiv
Spaceflight-associated neuro-ocular syndrome (SANS) threatens astronaut health during long-duration missions, yet its molecular pathology remains unclear. Two physiological pathways exist: one attributes SANS to microgravity-induced cephalic fluid sh...