Results 111 to 120 of about 9,029 (261)

Innovative Machine Learning Approach for Forecasting Student Performance in Degree Programs: A Case Study Using Naive Bayes Classification

open access: yesJournal of Applied Science and Engineering
It has become one of the prime focus areas in the academic world, starting from schools to higher educational institutions, that deal with student academic performance predictions for the establishment of effective policies aimed at upraising academic ...
Nana Wang
doaj   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

open access: yesAdvanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong   +10 more
wiley   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

open access: yesAdvanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin   +6 more
wiley   +1 more source

Modeling Students’ Dropout in Mexican Universities

open access: yesResearch in Computing Science, 2017
Noel Enrique Rodríguez-Maya   +3 more
openaire   +2 more sources

Meningeal Lymphatic LTBR Deficiency Links Spinal Cord Injury to Secondary Brain Pathology

open access: yesAdvanced Science, EarlyView.
Spinal cord injury (SCI) induces remote brain alterations beyond the injured spinal cord. This study links dysfunction of meningeal lymphatic vessels (mLVs) to neuroinflammation and neuronal injury after SCI. LTBR‐mediated lymphatic restoration improves meningeal lymphatic integrity and neurological outcomes, highlighting LTBR as a potential regulator ...
Yi Chen   +12 more
wiley   +1 more source

Temporally Correlated Stochastic Spiking Neural Networks Enabled by 2D Ferroelectric Synapse‐Neuron Integration

open access: yesAdvanced Science, EarlyView.
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon   +7 more
wiley   +1 more source

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

open access: yesAdvanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye   +15 more
wiley   +1 more source

Acinar‐Derived Organoids Reveal Stage‐Specific Control of Acinar Plasticity

open access: yesAdvanced Science, EarlyView.
An acinar‐derived organoid system maintains adult pancreatic acinar identity ex vivo, converts it along an ordered acinar‐to‐ductal‐like trajectory, and then partially restores it. Each transition carries its own signal requirement, with EGF/EGFR initiating conversion and a staged glucocorticoid–IGF1R switch driving redifferentiation.
Yongfei Hou   +10 more
wiley   +1 more source

Probe‐Free, Primer‐Programmed Amplicon Encoding Enables Nanopore‐Based Multiplex Detection With Deep Learning Decoding

open access: yesAdvanced Science, EarlyView.
Primer‐programmed amplicon encoding enables reporter‐probe‐free multiplex nucleic acid identification using glass nanopore sensing and deep neural network decoding. ABSTRACT Single‐reaction multiplex nucleic acid testing (NATs) must both co‐amplify multiple targets and distinguish the resulting amplicons within the product mixture.
Md. Ahasan Ahamed   +4 more
wiley   +1 more source

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

open access: yesAdvanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang   +9 more
wiley   +1 more source

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