Results 201 to 210 of about 1,025,211 (292)
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He +10 more
wiley +1 more source
A child and youth care approach to meeting the needs of children with visual impairments: A case study exploration. [PDF]
Kankya L, Swanzen R.
europepmc +1 more source
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales +12 more
wiley +1 more source
Reply to Pastore, E.P. Comment on "Korkmaz et al. A Deep Learning and Explainable AI-Based Approach for the Classification of Discomycetes Species. Biology 2025, 14, 719". [PDF]
Korkmaz AF +5 more
europepmc +1 more source
Neural cell–derived small extracellular vesicles (sEVs) are emerging as pivotal mediators in neurodegenerative diseases, exerting both pathogenic and therapeutic functions. This review synthesizes current evidence on how sEVs from distinct neural cell types regulate neurodegeneration, neuroprotection, biomarker discovery, and targeted drug delivery ...
Muhammad Waqas Salim +4 more
wiley +1 more source
Methodological considerations for validating a machine learning model predicting recurrence after ESD in superficial esophageal cancer. [PDF]
Song D, Hou S, Gao J.
europepmc +1 more source
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou +4 more
wiley +1 more source
Self-care needs and obstacles of adolescents with type 1 diabetes: a narrative review. [PDF]
Samie S +3 more
europepmc +1 more source
This review highlights recent advances in smart face masks that actively monitor breathing. By integrating humidity, gas, temperature, pressure, strain, and triboelectric sensors, these masks track key respiratory parameters in real time. The article summarizes sensor mechanisms, compares performance across studies, and discusses challenges and future ...
Negin Faramarzi +7 more
wiley +1 more source
FunduScope: a human-centered, machine learning-based interactive tool for training junior ophthalmologists in diabetic retinopathy detection. [PDF]
Bittner SJ, Barz M, Sonntag D.
europepmc +1 more source

