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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 1891-1911 of 8,996 articles

When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers

Scaling laws describe how model performance improves as the amount of training data increases, and r...

Jul 2026 10.64898/2026.07.14.738571

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

People with Down syndrome have higher age-specific mortality rates compared to the general populatio...

(1)

Jul 2026 10.64898/2026.07.17.26358090

What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?

Deep learning classifiers applied to structural MRI (sMRI) have achieved high performance in detecti...

Jul 2026 10.64898/2026.07.17.26358326

Calibrated Alzheimer's Conversion Risk in Mild Cognitive Impairment: Persistent Homology of Clinical Trajectories with Conformal Guarantees

Background. Predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) i...

Jul 2026 2607.17442v1

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

Real-time EEG classification on edge devices is bottlenecked by the floating-point arithmetic of con...

Jul 2026 2607.18149v1

Sex Differences in the Alzheimer's Brain Age Gap: APOE ε4 Plays a Major Role

INTRODUCTION: Brain age gap (BAG) is the difference between a person's chronological age and the age...

Jul 2026 10.64898/2026.07.13.26357678

Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening

Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Al...

Jul 2026 2607.15047v1

A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data

Accurately attributing causes of death is vital for global health, yet fewer than 5% of deaths in re...

(1)

Jul 2026 10.64898/2026.07.13.26357980

The Swiss Integrated Care (INCA) Study: Description of a Novel Prospective Cohort of Patients and Caregivers in Reimbursed Informal Care

Methods INCA is a prospective, single-center cohort study with nationwide recruitment. Participation...

(1)

Jul 2026 10.64898/2026.07.14.26358029

The Prognostic Value of Genetic Architectures in Cognitive Decline

Background & Methods: The multifaceted physical nature of heritable cognitive impairment in dementia...

Jul 2026 10.64898/2026.07.13.26357971

Explainable Longitudinal Machine Learning for Dementia Progression Using Cognitive and MRI Biomarkers

Dementia is a progressive neurological condition characterized by cognitive decline and structural b...

(1)

Jul 2026 10.64898/2026.07.12.26357878

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

Accurate diagnostic classification and disease-severity prediction for Alzheimer's disease are hampe...

Jul 2026 2607.11656v2

Explainable Machine Learning Models for Alzheimer's Diagnosis Using Routine and Low-Cost Clinical Data

Emerging as a significant global health challenge, Alzheimer's Disease (AD) is a progressive neurode...

Jul 2026 10.64898/2026.07.10.26357720

Exploring Attitudes of Primary Caregivers Towards Pediatric Tissue-Based Research using Large Language Models: Insights from Rural and Urban Community Calls and Surveys

Objectives: Explore the perspectives of primary caregivers towards pediatric tissue-based research p...

(1)

Jul 2026 10.64898/2026.07.08.26357557

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

Accurate diagnostic classification and disease-severity prediction for Alzheimer's disease are hampe...

Jul 2026 2607.11656v1

Early Prediction of Parkinson's Disease Progression by Integrating Research Cohort and Real-World Data Using Knowledge-Anchored Graph Learning

Parkinson disease (PD) progression is highly heterogeneous. Deeply phenotyped longitudinal research ...

Jul 2026 10.64898/2026.07.07.26357483

The Patients' Voice in Clostridioides difficile Infection: Large Language Model-Assisted Thematic Analysis of Patient Testimonials

Background. Clostridioides difficile infection (CDI) imposes a burden that extends well beyond the g...

Jul 2026 10.64898/2026.07.08.26357545

Effect of initiating an ARB- versus ACEI-based regimen on dementia risk, a target trial emulation of 2.5 million US Veterans

Background: Hypertension is a modifiable risk factor for dementia, yet the comparative effectiveness...

Jul 2026 10.64898/2026.07.05.26357173

Neurology

Browse Categories

When does more data help? Spectral Geometry and Scaling Laws in MRI Transformers

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?

Calibrated Alzheimer's Conversion Risk in Mild Cognitive Impairment: Persistent Homology of Clinical Trajectories with Conformal Guarantees

Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

Sex Differences in the Alzheimer's Brain Age Gap: APOE ε4 Plays a Major Role

Parameter-efficient Prompt Tuning of Vision Foundation Model With Adaptive Focal Loss for Interpretable MCI Screening

A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data

The Swiss Integrated Care (INCA) Study: Description of a Novel Prospective Cohort of Patients and Caregivers in Reimbursed Informal Care

The Prognostic Value of Genetic Architectures in Cognitive Decline

Explainable Longitudinal Machine Learning for Dementia Progression Using Cognitive and MRI Biomarkers

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

Explainable Machine Learning Models for Alzheimer's Diagnosis Using Routine and Low-Cost Clinical Data

Exploring Attitudes of Primary Caregivers Towards Pediatric Tissue-Based Research using Large Language Models: Insights from Rural and Urban Community Calls and Surveys

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

Early Prediction of Parkinson's Disease Progression by Integrating Research Cohort and Real-World Data Using Knowledge-Anchored Graph Learning

The Patients' Voice in Clostridioides difficile Infection: Large Language Model-Assisted Thematic Analysis of Patient Testimonials

Effect of initiating an ARB- versus ACEI-based regimen on dementia risk, a target trial emulation of 2.5 million US Veterans

Retina-derived Quantitative Biomarkers of Brain Health

Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases

When Color Adds Nothing: A Causal Audit of Channel Triplication in Alzheimer's MRI Classification

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