Results 61 to 70 of about 450 (151)
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Appraisal of Gene Expression‐Based Classifiers for Neuropsychiatric Disorders: A Meta‐Regression
ABSTRACT A substantial body of research examines the potential of gene‐expression‐based biomarkers for diagnosing and selecting treatments for neuropsychiatric disorders, yet no clear consensus has been reached regarding the influence of controllable factors such as study design and model selection on the performance of gene‐expression‐based ...
Ali Razavi +6 more
wiley +1 more source
Establishment of a mouse model of TMAO‐induced cardiac injury and application of MICT intervention
This study aims to explore the establishment of an animal model of cardiac injury induced by trimethylamine‐N‐oxide (TMAO), a metabolite secreted by gut microorganisms, and to investigate its application in moderate‐intensity continuous training (MICT) intervention.
Zhongping Xie +4 more
wiley +1 more source
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen +8 more
wiley +1 more source
Objectives Multiple sclerosis (MS) onset risk factors include Epstein–Barr virus (EBV) indices (including host response), lower serum 25‐vitamin D (25(OH)D) levels, low sun exposure, and HLA‐DRB1*1501. The underlying molecular mechanisms are unclear. Here, we examined mediation through differential DNA methylation (DNAm) to better understand possible ...
Steve Simpson‐Yap +37 more
wiley +1 more source
Unlocking fruit dimensions: Quantification of functional traits driving plant–frugivore interactions
Abstract Fleshy fruits attract animals to ingest fruit, swallow the seeds, and release them in the landscape, thus facilitating seed dispersal and plant regeneration. Attraction of animal dispersers is achieved via attractants such as color or scent, and rewards like sugars, lipids, and micronutrients.
Linh M. N. Nguyen +4 more
wiley +1 more source
Abstract The oval window (OW) is an opening connecting the inner and middle ear. Its area has been shown to consistently scale with body mass (BM) in primates, and has been used alongside semi‐circular canal (SCC) size to differentiate Homo sapiens and fossil hominins, including Paranthropus robustus.
Ruy Fernandez, José Braga
wiley +1 more source
Distal femoral morphology as a risk factor for osteoarthritis
Abstract Osteoarthritis (OA) is a leading cause of disability affecting millions of adults in the United States, commonly resulting in the need for total knee arthroplasty (TKA) to restore mobility and quality of life. This study investigates potential differences in baseline distal femoral shape between individuals who received TKA due to OA and a ...
Haley Horbaly
wiley +1 more source

