Results 91 to 100 of about 556 (209)
Early detection of cutaneous melanoma is crucial for improving patient survival rates. Skin lesion segmentation is a critical step towards computer-aided diagnosis that is effective in melanoma detection. This work proposes a novel patch-based model that
Eliezer Soares Flores, Jacob Scharcanski
doaj +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
ABSTRACT Iron overload is a common metabolic disturbance in cancer and contributes to poor outcomes in renal cell carcinoma (RCC), yet its effects on the tumour immune microenvironment remain unclear. Here we identify a previously unrecognized immunosuppressive axis in which iron overload downregulates the palmitoyltransferase ZDHHC12 in CD8+ T cells ...
Xin Jin +16 more
wiley +1 more source
YOLOSAMIC: A Hybrid Approach to Skin Cancer Segmentation with the Segment Anything Model and YOLOv8
Background/Objective: The rising global incidence of skin cancer emphasizes the urgent need for reliable and accurate diagnostic tools to aid early intervention.
Sevda Gül +4 more
doaj +1 more source
We report a fully wireless, circuit‐free neural stimulator built on a millimetric magneto‐mechano‐electric (MME) cantilever transducer (3 × 10 × 5 mm) with a barium titanate (BTO) piezoelectric ceramic core. Under low‐frequency alternating magnetic fields, the MME cantilever mechanically oscillates, inducing stress on the BTO element and thereby ...
Yijing Wang +7 more
wiley +1 more source
Skin cancer is a prevalent health issue worldwide. Therefore, early detection through automated deep learning systems is crucial for saving lives.
Aqib Shahzaib +4 more
doaj +1 more source
We identified a Krt14+ Igf2bp1+ bladder cancer population linked to EMT. Mechanistically, KRT14 stabilizes and transports IGF2BP1 to invasive protrusions, initiating a positive feedback loop that drives metastasis and poor outcomes. ABSTRACT Basal‐type muscle‐invasive bladder cancer (BMIBC) is characterized by aggressive metastasis and poor prognosis ...
Shirui Huang +19 more
wiley +1 more source
This study unveils an unrecognized pro‐inflammatory epitranscriptomic checkpoint in psoriasis. By installing m7G modifications on the 5′ UTR of Bdkrb1 mRNA, METTL1 enhances receptor stability to orchestrate keratinocyte‐driven neutrophil recruitment via p38 MAPK signaling.
Chang Zhang +10 more
wiley +1 more source
Lesion Site‐Targeted Microspheres Modulate Nav1.7‐Related Signaling for Osteoarthritis Treatment
Cartilage‐targeted carbamazepine‐loaded WYRGRL‐modified composite microspheres (CBZ/WCOM) anchor to exposed type II collagen in osteoarthritic lesions and release carbamazepine under acidic conditions. This bind‐then‐release platform modulates Nav1.7‐related sodium signaling, Na⁺/Ca²⁺ exchanger‐associated Ca2+ dynamics, and heat shock protein 70 ...
Cheng Chen +15 more
wiley +1 more source
CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation
Summary: Automatically and accurately segmenting skin lesions can be challenging, due to factors such as low contrast and fuzzy boundaries. This paper proposes a hybrid encoder-decoder model (CTH-Net) based on convolutional neural network (CNN) and ...
Yuhan Ding +6 more
doaj +1 more source

