Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Harnessing Methyltransferase‐Guided Targeting for Sequence‐Specific Proximity Labeling of DNA
A novel methyltransferase‐mediated approach leveraging rationally designed S‐adenosyl‐L‐methionine (SAM) analogues was developed to achieve sequence‐specific DNA labeling but in proximity to the natural transfer site, addressing key limitations of previously established methods, including ligand instability and methylation‐sensitive labeling.
Xiong Chen +8 more
wiley +2 more sources
Molecular classification and prognosis study of pancreatic ductal adenocarcinoma through multi-omics integrated clustering analysis. [PDF]
Zhong G +7 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Expression of Bruton's Tyrosine Kinase Reflects Immune Cells Infiltration and Cell Proliferation in Breast Cancer. [PDF]
AlRammah T +7 more
europepmc +1 more source
Molecular characterization of the A52 murine hepatocellular carcinoma cell line
Hepatocellular carcinoma (HCC) is a poor outcome cancer with limited therapeutic choices. To advance therapeutic development we genetically characterized the A52 murine HCC cell line. We noted genetic changes that match a subset of human HCC and this offers the opportunity to test novel targeted therapies in syngeneic mice.
Rhys Gillman +5 more
wiley +1 more source
Encoding functional edges in graphs to model spatially varying relationships in the tumor microenvironment. [PDF]
Tsang AP +6 more
europepmc +1 more source
Germline Predisposition to Oncogenic Alkylating Damage in Colorectal Cancer. [PDF]
Gurjao C +11 more
europepmc +1 more source
Integrating WGCNA and machine learning algorithm to identify ACSM5 as a prognostic biomarker and therapeutic target for predicting immunotherapy efficacy in non-small cell lung cancer. [PDF]
Ma X, Du W, Bai M, Dai Z.
europepmc +1 more source

