Results 171 to 180 of about 1,256,985 (257)
Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies
Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer +10 more
wiley +1 more source
Deep multi-instance learning model based on gadoxetic acid-enhanced MRI for predicting microvascular invasion of hepatocellular carcinoma: a multicenter, retrospective study. [PDF]
Luo Y +7 more
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
Real-time instance segmentation based on contour learning
Instance segmentation plays an important role in image processing. The Deep Snake algorithm based on contour iteration deforms an initial bounding box to an instance contour end-to-end, which can improve the performance of instance segmentation, but has ...
GE Rui +4 more
doaj
Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning. [PDF]
La Barbera D +4 more
europepmc +1 more source
Over half of cancer patients undergo radiotherapy. Laser ablation enabled the synthesis of immiscible Au‐Fe‐B nanoparticles designed as degradable bimodal radiosensitizers for X‐ray radiotherapy (XRT), boron neutron capture therapy (BNCT), and bimodal imaging for X‐ray computed tomography (CT) and magnetic resonance imaging (MRI). These nanosensitizers
Michael Bissoli +15 more
wiley +1 more source
Optimizing depression detection in clinical doctor-patient interviews using a multi-instance learning framework. [PDF]
Zhang X, Li C, Chen W, Zheng J, Li F.
europepmc +1 more source
This review explores how alternative invertebrate and small‐vertebrate models advance the evaluation of nanomaterials across medicine and environmental science. By bridging cellular and organismal levels, these models enable integrated assessment of toxicity, biodistribution, and therapeutic performance.
Marie Celine Lefevre +3 more
wiley +1 more source
Multi-instance learning with attention mechanism for coronary artery stenosis detection on coronary computed tomography angiography. [PDF]
Gupta V +15 more
europepmc +1 more source
Recent studies reported immunosuppressive properties of specific MXene nanomaterials. Their intravenous injection into the bloodstream of laboratory animals has been a common delivery method to suppress systemic inflammation and prevent transplant rejection.
Alireza Rafieerad +2 more
wiley +1 more source

