Artificial Intelligence in Thermal Ablation: Current Applications and Future Directions in Microwave Technologies. [PDF]
Westby K +3 more
europepmc +1 more source
Substituent‐Based Modulation of Self‐Assembly and Immunogenicity of Amphipathic Peptides
This study systematically investigates how positional and subtle changes, such as substituents on the phenyl ring attached to short amphipathic peptides, influence their self‐assembly, fibril morphology, and immunogenic responses. ABSTRACT Self‐assembled peptide‐based biomaterials provide versatile platforms for biomedical uses, featuring customizable ...
Anirban Das +13 more
wiley +1 more source
A geology-constrained hybrid stacking ensemble method using well logs for TOC prediction in continental shale reservoirs. [PDF]
Lu Y +8 more
europepmc +1 more source
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source
MHAFR-DDI: a multimodal hierarchical attention fusion and relation-aware architecture for drug-drug interaction event prediction. [PDF]
Li M, Cao C, Zou Q, Wei L, Wang Y.
europepmc +1 more source
NIBAN2/FLII/RREB1 Axis Drives Glioma Stem Cell Malignancy via TLR3 Pathway Activation
NIBAN2, highly expressed in glioma stem‐like cells (GSCs), assembles with FLII and transcription factor RREB1 to form a nuclear complex. This complex transcriptionally activates stemness‐associated genes (e.g., CD44, NANOG) and metabolic enzymes (e.g., LDHA), thereby sustaining both transcriptional and metabolic stemness programs.
Liang liang Shi +14 more
wiley +1 more source
MRI-based habitat radiomics for predicting WHO/ISUP nuclear grade in clear cell renal cell carcinoma. [PDF]
Shi N, Zhang C, Li X, Hao M, Liu C.
europepmc +1 more source
This study uncovers two overlooked bottlenecks in cryogenic laser cooling of solids: symmetry‐driven fluorescence trapping and water vapor condensation. We demonstrate that breaking sample symmetry enhances fluorescence escape, while condensation dominates parasitic heating below 135 K.
Biao Zhong +5 more
wiley +1 more source
Intratumoural and Peritumoural Radiomics-Based Machine Learning Models for the Postoperative Survival Prediction in Oesophageal Squamous Cell Carcinoma. [PDF]
Deng ZQ +12 more
europepmc +1 more source

