AIMC Journal:
bioRxiv

Showing 1041 to 1050 of 4938 articles

Quantum machine learning for detection of sleep deprivation from EEG signals

bioRxiv Jun 18, 2026
Approximately 50% of the population in India is estimated to experience sleep-related disorders. Sleep deprivation is a prevalent condition that adversely impacts cognitive performance, neural functioning, and overall health. Electroencephalography (...
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Identification of environmental factors and growth stages in the prediction of fibre yield and fibre quality traits in rain-grown cotton

bioRxiv Jun 18, 2026
Context Understanding how and when environmental conditions influence overall crop performance is crucial for optimising the development of genotypes to a specific breeding target environment. We focused on economically important traits of Australian...
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A hybrid framework integrating structural machine learning and 3D liver-on-chip assay for drug-induced liver injury prediction

bioRxiv Jun 18, 2026
Drug-induced liver injury (DILI) remains one of the most pressing challenges in drug development, contributing to 25-30% of late-stage clinical attrition and representing a leading cause of post-marketing drug withdrawals. Here, we introduce Oakuloid...
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Looking beyond stereotyped neuron structures reveals links between beading and morphological rearrangements in aging phenotypes.

bioRxiv Jun 18, 2026
Understanding how neuronal morphology changes during aging and acute stress is essential for elucidating mechanisms of neurodegeneration. The highly branched PVD neuron of Caenorhabditis elegans provides a powerful model for studying dendritic remode...
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Adaptive Neural Reorganization Enables Real-Time Finger-Level Robotic Control in BCI-Naìˆve Stroke Survivors

bioRxiv Jun 18, 2026
Restoring hand function remains a major challenge for individuals with motor impairments following stroke. Noninvasive brain-computer interfaces (BCIs) aim to address this problem by translating neural signals into robotic assistance; however, contro...
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Microscopy-informed structural connectivity mapping in the in vivohuman brain via domain adaptation

bioRxiv Jun 18, 2026
Characterising human brain connectivity remains a major challenge in neuroscience. Multimodal datasets combining diffusion MRI with high-resolution microscopy in the same brain offer a unique link between macroscopic imaging and microstructural detai...
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Predicting optimal growth temperatures of bacteria using learned structural information from a single protein

bioRxiv Jun 18, 2026
Temperature is a fundamental determinant of bacterial physiology and ecology. Optimal growth temperature (OGT) is highly variable across species, contributing to differences in where and when species are most likely to thrive. Although the OGTs for m...
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Protein Language Model Decoys for Target Decoy Competition in Proteomics: Quality Assessment and Benchmarks

bioRxiv Jun 18, 2026
Large-scale proteomics relies heavily on target--decoy competition for false discovery rate estimation in peptide identification, and the performance of this strategy depends strongly on the design of the decoy database. Classical generators such as ...
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Buffered sweat microfluidics with AI-enabled translation for clinically actionable blood urea estimation and renal risk stratification

bioRxiv Jun 18, 2026
Kidney-function assessment relies on blood urea as a clinically informative metabolic marker; however, its dependence on venipuncture and centralised laboratory testing limits high-frequency monitoring and delays timely clinical intervention. Here, w...
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Bioinf-Farma: supervised integration of epitope prediction and recombinant protein developability for automated vaccine candidate prioritization

bioRxiv Jun 18, 2026
Vaccine antigen discovery requires prioritizing protein candidates according to both immunogenic potential and recombinant expression feasibility. These properties are typically evaluated using separate computational tools, requiring researchers to i...
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