Results 231 to 240 of about 1,311,555 (408)
This study identifies the mechanosensor PIEZO1 as a key factor in promoting acute myeloid leukemia progression and uncovers a ferroptosis defense system mediated by PIEZO1‐HIF1A‐SLC7A11 axis that is essential for leukemia stem cell maintenance. This ferroptotic defense system may represent a unique vulnerability for leukemia stem cells, providing a ...
Tiantian Zhang +10 more
wiley +1 more source
Cytomegalovirus reactivation and the prevalence in autologous hematopoietic stem cell transplantation. [PDF]
Mittal A, Hutchinson HJ, Lucke-Wold BP.
europepmc +1 more source
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
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Mesangial hyaline degeneration after hematopoietic stem cell transplantation. [PDF]
Kawaguchi T, Yamaguchi Y.
europepmc +1 more source
Long-Term Lymphohematopoietic Reconstitution by a Single CD34-Low/Negative Hematopoietic Stem Cell
M. Osawa +3 more
semanticscholar +1 more source
High-Dose Chemotherapy with Autologous Stem Cell Transplantation in Primary Central Nervous System Lymphoma: Data From the Japan Society for Hematopoietic Cell Transplantation Registry [PDF]
Eisei Kondo +15 more
openalex +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source

