Clinic, CT radiomics, and deep learning combined model for the prediction of invasive pulmonary aspergillosis. [PDF]
Zhang K +9 more
europepmc +1 more source
Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley +1 more source
A combined model based on lung CT imaging and clinical characteristics for the diagnosis of AIDS with infection of Talaromyces marneffei. [PDF]
Lu Y +7 more
europepmc +1 more source
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley +1 more source
Combined Model for the Diagnosis of Hepatocellular Carcinoma: A Pilot Study Comparing the Liver to Spleen Volume Ratio and Liver Vein to Cava Attenuation. [PDF]
Abenavoli L +6 more
europepmc +1 more source
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
A combined model integrating deep learning, radiomics, and clinical ultrasound features for predicting <i>BRAF V600E</i> mutation in papillary thyroid carcinoma with Hashimoto's thyroiditis. [PDF]
Zhu PF +7 more
europepmc +1 more source
A Combined Model Based on Bone Mineral Density for Noninvasive Prediction of Prognosis in Non-Small Cell Lung Cancer Patients Receiving Immune Checkpoint Inhibitors: A Multicenter Retrospective Study. [PDF]
Gong B +16 more
europepmc +1 more source
A deep learning-clinical combined model with SHapley Additive exPlanations (SHAP) method for assessing the tumor spread through air spaces in lung adenocarcinoma: a multicohort retrospective study. [PDF]
Zhang R +16 more
europepmc +1 more source
Predicting joint space changes in knee osteoarthritis over 6 years: a combined model of TransUNet and XGBoost. [PDF]
Guo J +9 more
europepmc +1 more source

