Results 251 to 260 of about 213,840 (355)

A Biomarker‐Based Classification of Corticobasal Syndrome

open access: yesMovement Disorders, EarlyView.
Abstract Background Corticobasal syndrome (CBS) is a clinically defined syndrome with progressive movement and cortical dysfunction, caused by various underlying pathologies, most commonly tau‐predominant pathologies such as progressive supranuclear palsy and corticobasal degeneration, or Alzheimer's disease (AD).
Carla Palleis   +13 more
wiley   +1 more source

Constipation Is Linked to Neuroinflammation in Early Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Constipation is a risk factor for the onset and accelerated progression of Parkinson's disease (PD), but the mechanisms underlying this association are unknown. Neuroinflammation in PD has been demonstrated in postmortem and neuroimaging studies; however, its relationship with constipation has not been investigated.
Marta Camacho   +8 more
wiley   +1 more source

Radiomics‐Based Machine Learning Model Enhances Lymph Node Metastasis Prediction and Prognostic Stratification in Colorectal Cancer

open access: yesMedicine Advances, EarlyView.
We developed and validated a computed tomography‐based radiomics model combined with clinical features to preoperatively predict lymph node metastasis and assess prognostic outcomes in colorectal cancer. The integrated model demonstrated robust predictive performance and stratified patients into distinct risk groups associated with survival outcomes ...
Bin Wu   +6 more
wiley   +1 more source

Blue‐Gray Papules on the Chest and Face

open access: yes
JEADV Clinical Practice, EarlyView.
Sanjana Likki   +5 more
wiley   +1 more source

Artificial Intelligence in Ovarian Cancer: Current Advances and Perspectives

open access: yesMedicine Advances, EarlyView.
This article provides a comprehensive summary of the applications of artificial intelligence, including radiomics and deep learning, in ovarian cancer. It also discusses the current challenges and future directions, which mainly involve certain aspects of model generalizability, interpretability, and ethical and regulatory considerations.
Zijing Lin   +3 more
wiley   +1 more source

Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study. [PDF]

open access: yesEur Heart J
Miller RJH   +13 more
europepmc   +1 more source

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