Results 221 to 230 of about 158,771 (296)

Comparative Effectiveness of Proton vs Photon Therapy as Part of Concurrent Chemoradiotherapy for Locally Advanced Cancer.

open access: yesJAMA Oncol, 2020
Baumann BC   +12 more
europepmc   +1 more source

Illuminating the Intracellular World: Breakthroughs in Nanoscale Optoelectronics

open access: yesAdvanced Electronic Materials, EarlyView.
This perspective explores optoelectronic biointerfaces spanning macroscale flexible devices to nanoscale intracellular systems, emphasizing their integration across dimensions. It examines capacitive, Faradaic, and photothermal mechanisms that enable light‐driven control of cellular activity and highlights key material and design challenges in ...
Tania Assaf, Menahem Y. Rotenberg
wiley   +1 more source

Analysis of pseudoprogression after proton or photon therapy of 99 patients with low grade and anaplastic glioma. [PDF]

open access: yesClin Transl Radiat Oncol, 2018
Bronk JK   +5 more
europepmc   +1 more source

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee   +6 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

A microscopically assisted limited colectomy mouse model of early colon cancer

open access: yesAnimal Models and Experimental Medicine, EarlyView.
Establishment, surgery, and evaluation process of a microscope‐assisted limited colon resection mouse model for early‐stage colon cancer. Abstract Background Currently, there is a lack of an adequate rodent model for investigating surgical techniques and comprehensive treatment options for patients with colorectal cancer (CRC).
Yu Han   +3 more
wiley   +1 more source

Relapses, Comorbidities, and Predictors of Outcome in Anti‐GABAA Receptor Encephalitis

open access: yesAnnals of Neurology, EarlyView.
Objectives To characterize the magnetic resonance imaging (MRI) lesion dynamics, comorbidities, predictors of relapse, and outcomes in anti‐γ‐aminobutyric acid type A receptor (GABAAR) encephalitis, and assess the utility of LIM‐domain‐only‐protein 5 (LMO5) antibodies as tumor markers.
Claudia Papi   +33 more
wiley   +1 more source

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