Results 241 to 250 of about 795,986 (318)

The "long-tongue" sign: a new perspective on magnetic resonance imaging images of medullary ganglioglioma. [PDF]

open access: yesQuant Imaging Med Surg
Wu S   +10 more
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

open access: yesAdvanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu   +6 more
wiley   +1 more source

Diagnostic Radiology Services and Occupational Radiation Anxiety in Kazakhstan. [PDF]

open access: yesInt J Environ Res Public Health
Darbayeva A   +7 more
europepmc   +1 more source

Targeting WEE1 in ARID1A/TP53 Concurrent Mutant Colorectal Cancer by Exploiting R‐Loop Accumulation and DNA Repair Deficiencies

open access: yesAdvanced Science, EarlyView.
ARID1A, a SWI/SNF complex component, is frequently mutated in colorectal cancer (CRC). CRC with ARID1A/TP53 concurrent mutations shows marked sensitivity to WEE1 inhibition. ARID1A loss induces R‐loop‐mediated replication stress, impairs ATF3 transcription, and amplifies WEE1i‐induced DNA damage, suggesting a promising therapeutic vulnerability ...
Chi Zhang   +17 more
wiley   +1 more source

Spatial Profiling Reveals Distinct Molecular and Immune Evolution of Mouse Lung Adenocarcinoma Precancers with or Without Carcinogen Exposure

open access: yesAdvanced Science, EarlyView.
Tumor evolution in lung adenocarcinoma is shaped by genetic alterations and spatial immune dynamics. By integrating whole‐exome sequencing, imaging mass cytometry, and spatial transcriptomics across two mouse models, this study reveals how mutational burden, immune infiltration, and cell–state interactions evolve during early and late carcinogenesis ...
Bo Zhu   +34 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 more
wiley   +1 more source

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