Results 211 to 220 of about 2,590 (265)

Non‐invasive and efficient diabetic retinal mitochondrial repair nanoplatform based on engineered endothelial mitochondrial‐derived vesicles with dynamic integrated stress response modulation

open access: yesInterdisciplinary Medicine, EarlyView.
Under hyperglycemic conditions, mitochondrial dysfunction in retinal endothelial cells triggers excessive reactive oxygen species/reactive nitrogen species production, barrier protein degradation, and endothelial barrier breakdown in diabetic retinopathy.
Siyu Gui   +12 more
wiley   +1 more source

Land productivity declines in the GGW while human contributions to restoration far outweighing degradation. [PDF]

open access: yesSci Rep
Zhi Y   +7 more
europepmc   +1 more source

Chinese pan‐cancer patient genomic characteristics: A comprehensive analysis based on the National Cancer Center–Clinical Diagnostics Knowledgebase real‐world clinical sequencing cohort

open access: yesInterdisciplinary Medicine, EarlyView.
We assembled National Cancer Center–Clinical Diagnostics Knowledgebase, a clinical genomic knowledgebase of 6935 tumors with matched normal samples, revealing key somatic alterations and actionable variants (70.2% of the cohort). Enrichment of certain different gene mutations was observed between Chinese and American populations, along with a strong ...
Hongrui Li   +10 more
wiley   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

open access: yesInterdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling   +13 more
wiley   +1 more source

Changes in the thermal stress across Europe between 1940-2023. [PDF]

open access: yesInt J Biometeorol
Mărmureanu L   +4 more
europepmc   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

open access: yesJournal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu   +11 more
wiley   +1 more source

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