Results 51 to 60 of about 156,025 (281)
Potential Utility of the SYNTAX Score 2 in Patients Undergoing Left Main Angioplasty
Background: The revascularization strategy of the left main disease is determinant for clinical outcomes. Objective: We sought to 1) validate and compare the performance of the SYNTAX Score 1 and 2 for predicting major cardiovascular events at 4 years ...
Sérgio Madeira +9 more
doaj +1 more source
Our study aims to develop a data-driven framework utilizing heterogenous electronic medical and clinical records and advanced Machine Learning (ML) approaches for: (i) the identification of critical risk factors affecting the complexity of Coronary ...
Nikolaos Mittas +16 more
doaj +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Which Biology Marker Can be a Predictor for Higher Syntax Score?
BACKGROUND: Syntax score is a lesion-based angiographic scoring system, originally devised to grade the anatomic complexity of coronary artery disease (CAD) and thereby facilitate consensus in the study of a diagnostic angiogram between surgeons and ...
Linda Lison +5 more
doaj +1 more source
SYNTAX score and Clinical SYNTAX score as predictors of very long-term clinical outcomes in patients undergoing percutaneous coronary interventions: a substudy of SIRolimus-eluting stent compared with pacliTAXel-eluting stent for coronary revascularization (SIRTAX) trial [PDF]
Aims To investigate the ability of SYNTAX score and Clinical SYNTAX score (CSS) to predict very long-term outcomes in an all-comers population receiving drug-eluting stents.
Garcia-Garcia, Hector M. +8 more
core
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Background The SYNTAX score affects clinical outcomes in early studies. However, the prognostic value of the SYNTAX Score for long-term outcomes and differences by SYNTAX score risk stratification in long-term prognosis between medical therapy and ...
Min Xu, Hui Chen, Hong-Wei Li
doaj +1 more source
Medical therapy, percutaneous coronary intervention and prognosis in patients with chronic total occlusions [PDF]
Objective There is little published data reporting outcomes for those found to have a chronic total coronary occlusion (CTO) that is electively treated medically versus those treated by percutaneous coronary intervention (PCI).
Alamgir, Farquad +4 more
core +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

