Results 161 to 170 of about 430,695 (266)

Robotic cholecystectomy during surgical training: learning curve and perioperative outcomes of 441 consecutive cases in a high-volume teaching center. [PDF]

J Robot Surg
Gravante G, Mita MT, Altamura A, Barbieri V, Bianco G, Benedicenti S, Catamerò A, Clemente L, Giaracuni G, Grillea G, Leone B, Morelli G, Picciariello A, Puglisi G, Sorge R, Rubichi F, Viola MG.   +16 more
europepmc   +1 more source

Clinical Impact of NOTCH3 Variant Location After First Stroke in CADASIL

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite its monogenic origin, Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy exhibits marked variability in clinical expression and severity. Variants in the NOTCH3 gene, within epidermal growth factor‐like repeat domains 1–6 or 7–34, are known to influence disease onset, but their impact ...
Léa Aguilhon, Hugues Chabriat, Dominique Hervé, Stéphanie Guey, Sophie Tezenas Du Montcel, Juliette Ortholand   +5 more
wiley   +1 more source

Machine learning screening of risk factors for diabetic microvascular complications and construction of a gradient boosting decision tree predictive model. [PDF]

Front Endocrinol (Lausanne)
Xiao M, Fu Y, Li Y, Liu Q, Qiao X, Zhang H, Zhu X, Wang J.   +7 more
europepmc   +1 more source

Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park, Emily J. Koubek, Richard Beare, Lynn Ang, Brian C. Callaghan, Rodica Pop‐Busui, Eva L. Feldman, Evan L. Reynolds   +7 more
wiley   +1 more source

Machine Learning for Revision Joint Arthroplasty: A Systematic Review of Distinct Challenges, Current Performance, and Clinical Readiness. [PDF]

Arthroplast Today
Yeramosu T, Laubach LK, Joshi R, Feeser S, Wait J, Cyrus J, Satpathy J, Golladay GJ, Patel NK.   +8 more
europepmc   +1 more source

Efficacy of EUS-guided keyhole biopsies in diagnosing subepithelial lesions of the upper gastrointestinal tract

Endoscopy International Open
Sen Verhoeve, Cynthia Verloop, Marco Bruno, Valeska Terpstra, Lydi Van Driel, Lars Perk, Lieke Hol   +6 more
doaj   +1 more source

Onasemnogene Abeparvovec in Patients With SMA: Interim Results of the RESTORE Registry in Japan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There are limited real‐world data regarding the safety and effectiveness of onasemnogene abeparvovec (OA; Zolgensma) infusion, a one‐time gene replacement therapy, for Japanese patients with spinal muscular atrophy (SMA). We aimed to improve understanding of the real‐world outcomes for OA in Japan.
Kayoko Saito, Kamal Benguerba, Ken Tsuchida, Kazushige Yazawa, Isao Tsumiyama, Hiromitsu Kayama, Sandra P. Reyna, Farid Khan, Richard S. Finkel   +8 more
wiley   +1 more source

A Stacked Ensemble Multi-Label Model for Predicting Co-Occurring Microvascular and Macrovascular Complications in Type 2 Diabetes. [PDF]

Chronic Dis Transl Med
Zamani M, Farhadian M, Piran N, Borzouei S.   +3 more
europepmc   +1 more source

Technical factors associated with biliary cannulation success after transpancreatic precut sphincterotomy

Endoscopy International Open
Wei-Chih Su, Tsung-Hsien Hsiao, Chia-Chi Wang, Hung-Da Chen, Tzu-Hsiang Kung, Chih-Hsiang Chen, Jiann-Hwa Chen   +6 more
doaj   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source