Results 181 to 190 of about 8,831 (260)

Prediction of the photodynamic therapy effect using digital breast phantoms from patients with breast cancer via Monte Carlo simulations. [PDF]

J Biomed Opt
Minegishi Y, Nomura Y.
europepmc   +1 more source

Virtual reality and haptic simulation in modern microsurgical endodontics: Case report and proof of concept

International Endodontic Journal, EarlyView.
Abstract Aim To highlight the development and application of a novel virtual reality (VR) haptic simulation program in endodontic microsurgery (EMS) to prepare for a clinical case performed by a resident student. Summary Modern EMS requires adequate training and a learning curve for mastering surgical techniques and refining individual skills.
Damiano Pasqualini, Giorgia Carpegna, Mario Alovisi, Elio Berutti, Sami Chogle   +4 more
wiley   +1 more source

History and current developments of RERF dosimetry. [PDF]

Carcinogenesis
Cullings HM, Funamoto S, Egbert SD, Griffin KT, Paulbeck CJ, Domal SJ, Correa-Alfonso CM, Shimizu S, Sato T, Lee C, Endo A, Bolch WE.   +11 more
europepmc   +1 more source

Integrative Computational and Experimental Approaches Reveal the Protective Role of Moderate Caffeine Intake Against Apical Periodontitis Induced Bone Loss

International Endodontic Journal, EarlyView.
ABSTRACT Aim To investigate whether moderate systemic caffeine intake modulates the progression of apical periodontitis (AP) and associated alveolar bone loss, combining in vivo rat experiments with in silico molecular docking to explore potential mechanisms. Methodology Male Wistar rats were randomly assigned to four groups (n = 8 per group): control,
Matheus Ferreira Lima Rodrigues, Deborah Ribeiro Frazão, Deiweson Souza‐Monteiro, Vinicius Ruan Neves dos Santos, Felipe Oliveira Nunes, João Daniel Mendonça de Moura, Thamires Campos Gomes, Jorddy Neves Cruz, Cristiane do Socorro Ferraz Maia, Rodrigo A. Cunha, Fabrício Mezzomo Collares, Rogerio de Castilho Jacinto, Rafael Rodrigues Lima   +12 more
wiley   +1 more source

Unsupervised classification of influenza virus surface spikes from cryo-EM reconstructions using head-to-stem width ratio. [PDF]

Virol J
Benkarroum Y.
europepmc   +1 more source

Resilient Biophysical Phenotype of Memory CD4+ T Cells in Long‐Lived Mice

Immunology, EarlyView.
Aging is associated with increased stiffness and reduced migratory capacity of memory CD4+ T cells; however, these biophysical declines do not persist in exceptionally long‐lived mice. Instead, long‐lived individuals preserve T cell mechanics, migration and intracellular architecture, supporting mechanical resilience as a hallmark of successful immune ...
Aldo Abarca‐Ortega, Blanca González‐Bermúdez, Judith Félix‐Escalera, Mónica González‐Sánchez, Enzo Brito, Mónica De la Fuente, Gustavo R. Plaza   +6 more
wiley   +1 more source

Mechanical properties of 3D voxel-printed materials for cardiovascular tissue imitation. [PDF]

Front Bioeng Biotechnol
Illi J, Bergamin M, Ilic M, Stark AW, Bracher S, Hofmann M, Burger J, Shiri I, Haeberlin A, Gräni C.   +9 more
europepmc   +1 more source

Annual Research Review: Neural mechanisms of eating disorders in youth – from current theory and findings to future directions

Journal of Child Psychology and Psychiatry, EarlyView.
Eating disorders are prevalent and profoundly debilitating psychiatric conditions with multifactorial etiology that frequently manifest during adolescence. This developmental stage is characterized by significant neurostructural and neurofunctional change, which may create a context conducive to the emergence of eating pathology.
Kelsey Hagan, E. Caitlin Lloyd, Sasha Gorrell   +2 more
wiley   +1 more source

A systematic review of radiation dose to the eye lens from pediatric brain computed tomography scans. [PDF]

Pediatr Radiol
Perdomo AA, Forster JC, Badawy MK.
europepmc   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source