Results 161 to 170 of about 112,175 (269)
This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Development of energy deposition pixel kernel convolution for planar dosimetry in <sup>177</sup>Lu therapy. [PDF]
Pairodsantikul P +7 more
europepmc +1 more source
We introduce a new fabrication method that overcomes the current limitation of tubular gap electrospinning. We successfully fabricated a seamless hollow tube with fibers aligned along the longitudinal axis in diameters as small as 300 µm, and then reinforced it using 4‐axis 3D printing.
Seyed Aliakbar Hosseini Toopghara +9 more
wiley +1 more source
Soil Region Segmentation and Visual Whiteness Analysis in Cold-Region Rice Seedbeds Based on Improved DAC-UNet. [PDF]
Gao J +7 more
europepmc +1 more source
Peritoneal carcinomatosis is a hard‐to‐treat spread of abdominal cancers that often returns after therapy. Nanoparticles were developed to retain an immune‐boosting drug in the abdomen. When combined with chemotherapy in mice, this approach eliminated tumors in many cases and prevented recurrence, helping the immune system mount a stronger, longer ...
Vanessa Chan +10 more
wiley +1 more source
Intelligent diagnosis of major depressive disorder with edge convolution and contrastive learning. [PDF]
Long D, Zhu C, Xiong L, Long Z, Dong F.
europepmc +1 more source
This study introduces a modular microfluidic platform that connects liver cells with live microbes to mimic key aspects of the gut–liver interaction in steatosis. Using this system, both microbial metabolites and live bacteria significantly reduced fat accumulation in liver cells, but live microbes triggered inflammation and broader metabolic changes ...
Hsih‐Yin Tan +7 more
wiley +1 more source
ST-DTGCN: spatiotemporal forecasting with dynamic transformer and graph convolution networks. [PDF]
Shi M, Yoo S, Cho J.
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
DPCrossU-Net: a dual-branch parallel CNN-Transformer network for lung nodule segmentation. [PDF]
Guan X, Zhu W, Wu F.
europepmc +1 more source

