Results 111 to 120 of about 1,304,433 (350)
Tumor metastasis results from complex interactions between cancer cells and mechanical microenvironments. We propose a “nucleus‐centered, cross‐stage mechanical signal decoding” model, highlighting how nuclear mechanosensors interpret forces at different stages.
Linqi Song +4 more
wiley +1 more source
Background: Ultrasound and colour Doppler are adjuvant techniques widely used in clinical settings in obstetrics, cardiology, and others. Its use in dermatology is more incipient although it presents potential for clinical use namely in dermo-oncology ...
César Martins +2 more
doaj +1 more source
Unlike deceased‐donor liver transplantation, living‐donor liver transplantation (LDLT) for Budd‐Chiari Syndrome (BCS) presents distinctive challenges in hepatic venous (HV)‐outflow reconstruction because diseased HV–inferior vena cava (IVC) cannot be entirely replaced with healthy donor vessels.
Koichiro Hata +4 more
wiley +1 more source
Characterizing fetal wellbeing with a Doppler ultrasound device requires computation of a score based on fetal parameters. In order to analyze the parameters derived from the fetal heart rate correctly, an accuracy of 0.25 beats per minute is needed ...
I. Voicu +3 more
semanticscholar +1 more source
Erosion of granular sediments by submerged impinging jets: Particle size effects and cohesion onset
Abstract This study investigates the erosion behavior and modeling of glass particle beds under impinging jet conditions, with a focus on particle size effects and the onset of cohesion. Ultrasonic profiling is implemented to scan and measure static crater profiles.
Ahmad Mohamadiyeh +4 more
wiley +1 more source
What went wrong? The flawed concept of cerebrospinal venous insufficiency [PDF]
In 2006, Zamboni reintroduced the concept that chronic impaired venous outflow of the central nervous system is associated with multiple sclerosis (MS), coining the term of chronic cerebrospinal venous insufficiency ('CCSVI'). The diagnosis of 'CCSVI' is
Al-Omari MH +22 more
core +2 more sources
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Objective. To determine the frequency of the various ultrasound findings in hand joints in patients with psoriatic arthritis and correlate grayscale and Power Doppler ultrasonography findings with Disease Activity Score 28. Methods.
Priyanka Naranje +4 more
doaj +1 more source
Facilitating Genetic Testing for Perinatal Demise: Development of a Multidisciplinary Workflow
ABSTRACT Genetic contributors to perinatal demise are common but frequently undiagnosed due to clinical and logistical barriers. We aimed to improve access to genetic for intrauterine fetal demise (IUFD), stillbirth, and early neonatal death by developing a multidisciplinary workflow.
Mackenzie Mosera +15 more
wiley +1 more source
Prenatal Evaluation of RNU4‐2 Variants in Fetuses With Central Nervous System Anomalies
ABSTRACT Fetal central nervous system (CNS) anomalies are among the most common congenital malformations, yet the overall prenatal diagnostic yield of current genetic testing remains below 40%. Variants in RNU4‐2, a non‐coding gene encoding the U4 small nuclear RNA (snRNA), have recently been linked to a novel highly recurrent dominant ...
Yiyao Chen +13 more
wiley +1 more source

