Results 271 to 280 of about 980,977 (401)
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Robust, scalable and xeno-free protocol for differentiating human induced pluripotent stem cells into functional macrophages. [PDF]
De Homdedeu M +5 more
europepmc +1 more source
Disease-Specific Induced Pluripotent Stem Cells
In-Hyun Park +9 more
semanticscholar +1 more source
This study develops a hierarchically porous hydrogel patch strategy (HPMP), based on gas‐shearing microfluidics and an aqueous two‐phase system to fabricate porous microgels as microgel‐based bioinks. The porous microgels with controllable porous structure exhibit excellent cellular behavior.
Ziyang Liu +13 more
wiley +1 more source
Predicting metabolic dysfunction-associated steatotic liver disease risk using patient-derived induced pluripotent stem cells. [PDF]
Qin Y +13 more
europepmc +1 more source
“Time Is Brain” – for Cell Therapies
The concept that “time is brain” extends to stem cell therapy for stroke. Evidence across preclinical and clinical studies indicates that delivery timing shapes graft survival, integration, and efficacy by matching the evolving post‐stroke microenvironment.
Hao Yin +4 more
wiley +1 more source
Impact of differentiation protocols on the functionality of mesenchymal stem cells derived from induced pluripotent stem cells. [PDF]
Ababneh NA +16 more
europepmc +1 more source
Generation of Mouse Induced Pluripotent Stem Cells Without Viral Vectors
K. Okita +4 more
semanticscholar +1 more source

