Results 131 to 140 of about 8,570,593 (242)

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

FEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell, Cassy Ross, Panagiota S. Filippou, Bruno Silvester Lopes, Dominic Gilchrist, Paul Dean, Kamar Ameen‐Ali, Tora K. Smulders‐Srinivasan, Ahmad A. Khundakar   +8 more
wiley   +1 more source

BasNet: Attention U-Net-Based Automated Axon Segmentation in Bielschowsky Silver-Stained Histology. [PDF]

Neuroinformatics
Schönenberger L, Egli L, Gkotsoulias D, Stadelmann C, Granziera C.   +4 more
europepmc   +1 more source

Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region

FEBS Open Bio, EarlyView.
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson, Anja H. Schiemann, Evelyn Sattlegger   +2 more
wiley   +1 more source

Attention U-Net-Based Segmentation and Hybrid Classification for Detection of Circulating Tumor-Associated Cells. [PDF]

Cancers (Basel)
Cristofanilli M, Limaye S, Rohatgi N, Crook T, Al-Shamsi HO, Gaya A, Page R, Shreenivas A, Patil D, Datta V, Akolkar D, Schuster S, Kumar P, Patel S, Shejwalkar P, Golar S, Srinivasan A, Datar R.   +17 more
europepmc   +1 more source

MEASegNet: 3D U-Net with Multiple Efficient Attention for Segmentation of Brain Tumor Images

Brain tumors are a type of disease that affects people’s health and have received extensive attention. Accurate segmentation of Magnetic Resonance Imaging (MRI) images for brain tumors is essential for effective treatment strategies. However, there
Ruihao Zhang, Can Hu, Peng Yang, Bin Guo
core   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

DWFAU-Net: A Clinically-Guided Dual-Window Fusion Attention U-Net for Coronary Artery Segmentation in CT Angiography. [PDF]

J Imaging
Memon SQ, Bhatti S, Jawaid MM, Usman G.
europepmc   +1 more source

Exploring the influence of lactoferrin on wound healing and related signaling pathways: a systematic review

FEBS Open Bio, EarlyView.
Lactoferrin promotes wound healing by activating MAPK, PI3K/Akt, and extracellular matrix pathways, enhancing fibroblast remodeling, proliferation, and re‐epithelialization. These mechanisms highlight its therapeutic potential in inflammation control, tissue repair, and remodeling.
Morgana Lüdtke Azevedo, Kátia Cristiane Hall, Matheus dos Santos Fernandez, Geovanna Peter Corrêa, Rafael Guerra Lund   +4 more
wiley   +1 more source

IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism

BioResources
Saw wood cracks are defects that affect the appearance and mechanical strength of sawn wood. Crack defects in the surface of sawn wood can be readily detected.
Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang   +7 more
doaj  

Landmark Regression with Attention U-Net for Assessing Breast Positioning Quality in MLO Mammography View. [PDF]

Diagnostics (Basel)
Denizoglu N, Tanyel T, Erkan EC, Seker ME, Meltem E, Aktufan Cerekci E, Alis D, Oksuz I, Karaarslan E, Aribal E.   +9 more
europepmc   +1 more source