Results 211 to 220 of about 1,379,022 (300)

Novel Strategy for Structural Variant Genotyping by Short-Read Genomic Sequencing From Restriction-Circles: Experimental and Bioinformatics Proof-of-Concept. [PDF]

Hum Mutat
Abelleyro MM, Yankilevich P, Ziegler BM, Luce L, Cifuentes HM, Radic CP, Rossetti LC, Giliberto F, De Brasi CD.   +8 more
europepmc   +1 more source

Disentangling the Genetic Relationship Between Sleep and Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective A bidirectional relationship between sleep and epilepsy is well recognised, yet the biological mechanisms linking them remain poorly understood. Both have a genetic basis, with genome‐wide association studies (GWAS) capturing polygenic contributions.
Khang N. Le, Victoria E. Jackson, Rachel E. Stirling, Zachary F. Gerring, Remi Stevelink, Samuel F. Berkovic, Ingrid E. Scheffer, Philippa J. Karoly, Melanie Bahlo, Karen L. Oliver   +9 more
wiley   +1 more source

Syndirella: synthesis-directed fragment elaboration enables extensive and cost-effective binding site exploration beyond catalog compounds. [PDF]

Chem Sci
Fieseler KK, Winokan M, Morrone JA, Deane CM, von Delft F, Thompson W.   +5 more
europepmc   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Artificial Intelligence‐Driven Extraction of Patient‐Reported Pain Outcomes in Osteoarthritis Using Large Language Models

Arthritis Care &Research, Accepted Article.
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi, Stephen Batter, Yiyuan Wu, William Salerno, Alice Santilli, Sandhya Kannayiram, Susan Goodman, Bella Mehta   +7 more
wiley   +1 more source

Metabolic Profile of Indigo Naturalis in Rat Plasma, Bile, Urine, and Feces by UPLC-Q-TOF MS Method. [PDF]

J Anal Methods Chem
Zhang G, Liu J, Yuan D, Qin Y.
europepmc   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source