Results 201 to 210 of about 63,938 (281)

Radiological Findings Post Autologous Fat Grafting and Breasts Procedures: Avoiding False Positive Results

ANZ Journal of Surgery, EarlyView.
This article highlights the importance of understanding the imaging features and complications of fat necrosis and oil cysts to improve diagnostic accuracy and clinical management. A rational diagnostic sequence—emphasizing comparison with prior imaging, careful evaluation of morphological changes, and judicious use of biopsy—can reduce unnecessary ...
Eduardo de Faria Castro Fleury
wiley   +1 more source

Real‐world outcomes of aflibercept 8 mg in patients previously treated for neovascular age‐related macular degeneration

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate visual, anatomical and safety outcomes of aflibercept 8 mg in previously treated patients with neovascular age‐related macular degeneration (nAMD). Methods This retrospective study included nAMD patients switched to aflibercept 8 mg from prior anti‐VEGF therapies at Sahlgrenska University Hospital between February 2024 and ...
Imadeddin Abu Ishkheidem, Esra Inci, Martin Breimer, Sofia Töyrä Silfverswärd, Madeleine Zetterberg, Marita Andersson Grönlund   +5 more
wiley   +1 more source

Graph-based federated learning approach for intrusion detection in IoT networks. [PDF]

Sci Rep
Al Tfaily F, Ghalmane Z, Brahmia MEA, Hazimeh H, Jaber A, Zghal M.   +5 more
europepmc   +1 more source

Ultrasound, PET/CT or temporal artery biopsy for giant cell arteritis? A prospective diagnostic accuracy study (the GAME‐study)

Acta Ophthalmologica, EarlyView.
Abstract Purpose To investigate the diagnostic performance of ultrasound, 2‐deoxy‐2‐[18F]fluoro‐D‐glucose positron emission tomography/computed tomography (2‐[18F]FDG PET/CT) and temporal artery biopsy (TAB) in giant cell arteritis (GCA). Methods This was a prospective single‐centre diagnostic accuracy study (ClinicalTrials.gov NCT05248906).
Michael S. Hansen, Lene Terslev, Uffe M. Døhn, Viktoria Fana, Jane M. Brittain, Anne K. Wiencke, Steffen Heegaard, Mads R. Jensen, Oliver N. Klefter, Yousif Subhi, Steffen Hamann   +10 more
wiley   +1 more source

Security Audit of IoT Device Networks: A Reproducible Machine Learning Framework for Threat Detection and Performance Benchmarking. [PDF]

Sensors (Basel)
Shaikhanova A, Kuznetsov O, Tokkuliyeva A, Ayapbergenov K, Olzhas S, Danir T.   +5 more
europepmc   +1 more source

Amyloid‐β aggregates induce vasculopathy via ferroptosis in brain endothelial cells

Brain Pathology, EarlyView.
Blood–brain barrier (BBB) disruption is evident in brains with amyloidopathy. In this study, we demonstrate that amyloid β (Aβ) drives abnormal lipid metabolism and lipid droplet formation in brain endothelial cells, leading to lipid peroxidation and ferroptosis.
Suhyeon Son, Suji Kim, Min‐Tae Jeon, Moonseok Choi, Kyu‐Sung Kim, Suji Lee, Seung‐Yeol Nah, Do‐Geun Kim   +7 more
wiley   +1 more source

Digital Twin-Driven Intrusion Detection for Industrial SCADA: A Cyber-Physical Case Study. [PDF]

Sensors (Basel)
Sayghe A.
europepmc   +1 more source

Proteomic profile of CSF obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival: CXCL7 levels in disease prognosis and survival

Brain Pathology, EarlyView.
Untargeted multiomic profiling of cerebrospinal fluid reveals that proteomic, but not lipidomic, signatures robustly distinguish ALS patients from controls and stratify individuals by survival, highlighting marked molecular differences between short survival and long survival disease.
Sergio Roca‐Pereira, Yaiza López‐Sampere, Pol Mengod‐Soler, Mario Peña‐Fonteboa, Carla Marco, Alejandro Caravaca‐Puchades, Raúl Domínguez, Juan Francisco Vázquez‐Costa, Enrique Santamaría, Joaquín Fernández‐Irigoyen, María J. Colomina, Isabel León Moreno, Antonio Martínez Yélamos, Sergio Martínez Yélamos, Gabriel Santpere, Elia Obis, Manuel Portero‐Otín, Gerard Piñol‐Ripoll, Mónica Povedano, Pol Andrés‐Benito   +19 more
wiley   +1 more source

Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]

Front Artif Intell
Alabdullah B, Sankaranarayanan S.
europepmc   +1 more source