Results 131 to 140 of about 28,227 (259)

Cancer‐associated fibroblasts are associated with CD8+ T cell depletion and poor prognosis in colorectal adenocarcinoma: a multi‐omics and machine learning analysis

open access: yesThe Journal of Pathology: Clinical Research, Volume 12, Issue 2, March 2026.
Abstract Fibroblastic proliferation in various tumor microenvironments influences cancer survival through complex interactions with diverse immune responses. This study investigated the impact of histologically unique activated cancer‐associated fibroblasts (aCAFs) on survival outcomes and immune responses and examined their association with various ...
Myungsun Shim   +10 more
wiley   +1 more source

Simultaneous synthesis of perfusion and ventilation images from CT using a dual‐decoder residual attention network for lung disease diagnosis

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 3, March 2026.
Abstract Background Deep learning algorithms can synthesize pulmonary functional images from CT images. However, previous studies have only been able to predict either ventilation or perfusion from CT, limiting the holistic evaluation of lung function.
Meng Wang   +9 more
wiley   +1 more source

Generalizability of deep learning–based dose conversion model in proton beam therapy

open access: yesJournal of Applied Clinical Medical Physics, Volume 27, Issue 3, March 2026.
Abstract Background In proton beam therapy (PBT), the analytical pencil beam (PB) algorithm involves dose uncertainties in inhomogeneous regions, making accurate Monte Carlo (MC) dose calculation desirable but time‐consuming. Deep learning, converting the dose calculated by the PB algorithm into an MC‐equivalent dose distribution, can resolve the trade‐
Ryohei Kato   +6 more
wiley   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, Volume 13, Issue 13, 3 March 2026.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

Data‐Driven Feedback Identifies Focused Ultrasound Exposure Regimens for Improved Nanotheranostic Targeting of the Brain

open access: yesAdvanced Science, Volume 13, Issue 13, 3 March 2026.
Machine learning models predict in real time the onset of harmful microbubble collapse during microbubble‐enhanced focused ultrasound (MB‐FUS) and enable dynamic adjustment of sonication to prevent cavitation‐induced damage. This predictive control expands the safe operating window for bloodbrain barrier opening, enhancing nanoparticle delivery and ...
Hohyun Lee   +17 more
wiley   +1 more source

Home - About - Disclaimer - Privacy