Results 231 to 240 of about 1,311,555 (408)

PIEZO1 is Required for Acute Myeloid Leukemia Progression and Leukemia Stem Cell Maintenance via HIF1A‐SLC7A11 Axis‐Mediated Ferroptosis Defense

open access: yesAdvanced Science, EarlyView.
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

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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]

open access: bronze, 2019
Eisei Kondo   +15 more
openalex   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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