Results 151 to 160 of about 7,150,473 (243)

خوارزمیات البرمجة الدینامیکیة لحل مسائل جدولة الماکنة الواحدة بوقت حسابی ثابت

Al-Rafidain Journal of Computer Sciences and Mathematics, 2009
Kawa A. Al-Qazilchy
doaj   +1 more source

Q-LEAP: Millisecond Hyperdimensional Optimization for Full-Spectrum Optical Metamaterials. [PDF]

Adv Sci (Weinh)
Guo Z, Wu Y, Guo Y, Ju S.
europepmc   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Artificial Intelligence in Orthopedics: Global Research Trends and Emerging Applications. [PDF]

Orthop Rev (Pavia)
Bosh L, Gadikota P, Viswanath O, Ganti L.   +3 more
europepmc   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Machine learning for operative time prediction in robotic ventral hernia repair patients: Perspective on predictive model development and validation. [PDF]

Langenbecks Arch Surg
Jasur R, Molai-Rad AM, Khasanova D, Bahreini A, Niyazov S, Jumakulov N, Najmutdinova D, Alimova F.   +7 more
europepmc   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

High-precision temperature-strain composite sensing based on a single resonator-type surface acoustic wave sensor using machine learning algorithms. [PDF]

Microsyst Nanoeng
Cheng C, Liu Y, Yang J, Luo T, Tong T, Luo C, Li X, Fang X, Ke Q.   +8 more
europepmc   +1 more source

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

The Predictive Paradigm in Perioperative Hemodynamic Management: The Role of Artificial Intelligence in Major Spine Surgery. [PDF]

J Clin Med
Cosenza G, Fiore M, Giurazza R, Pota V, Coppolino F, Sansone P, Pace MC.   +6 more
europepmc   +1 more source