Results 71 to 80 of about 68,798 (306)
Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley +1 more source
Exploring the interplay between human and machine annotated multimodal learning analytics in hands-on STEM Activities [PDF]
This poster explores how to develop a working framework for STEM education that uses both human annotated and machine data across a purpose-built learning environment. Our dual approach is to develop a robust framework for analysis and investigate how to
Luckin, Rose, +24 more
core +1 more source
Smart Urban Metabolism: A Big-Data and Machine Learning Perspective
Smart urban metabolism is a contemporary conception of urban metabolism which includes modern-day technologies dealing with the complex challenges of growing smart cities. Traditionally, urban metabolism deals with the influx-efflux of energy and flow of
Ruchira Ghosh, Dipankar Sengupta
core +1 more source
Cell surface CD11c as a neutrophil aging marker molecule
Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source
Southern Company Generation Data Analytics Overview
Presented on September 6, 2016 from 9:15 a.m.-10:00 a.m. at the Klaus Advanced Computing Building, Room 1116W, Georgia Institute of Technology.South Big Data Innovation Hub ; Applications of Analytics and Machine Learning in Energy Industry-Academia ...
Patanian, John, Jones, Randy
core
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Data Analytics in Machine Learning
Modern technology depends on data analytics and machine learning (ML), which provide vital insights and enable wise decision-making in many different fields. Data analytics and machine learning techniques together have transformed the processing and analysis of large datasets to provide valuable insights for companies.
openaire +1 more source
Big Data Analytics in Bioinformatics: A Machine Learning Perspective
20 pages survey paper on Big data analytics in ...
Hirak J. Kashyap +4 more
openaire +2 more sources
ABSTRACT Objective To assess the association and discriminative performance of serum biomarkers with clinical disease progression and survival in patients with amyotrophic lateral sclerosis (ALS). Methods This retrospective study, conducted at Houston Methodist Hospital, Houston, TX, used longitudinal serum samples collected between January 2018 and ...
David R. Beers +7 more
wiley +1 more source
Synchronized Sensor Insoles for Clinical Gait Analysis in Home-Monitoring Applications
Wearable sensor systems are of increasing interest in clinical gait analysis. However, little information about gait dynamics of patients under free living conditions is available, due to the challenges of integrating such systems unobtrusively into a ...
Roth Nils +5 more
doaj +1 more source

