Results 101 to 110 of about 5,170 (214)

FlowGS: Controlling Information Flow for Graph‐Based Interaction in 3D Gaussian Splatting

Computer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) has recently enabled real‐time, high‐quality novel view synthesis. However, its formulation treats each Gaussian independently, lacking explicit information exchange between neighboring elements and limiting its ability to capture local structure.
T. Jia, R. Sun, W. Shi
wiley   +1 more source

Immune Repertoire Profiling Reveals Distinct Adaptive Immune Signatures of Dampness ZHENG Across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis

Cell Proliferation, EarlyView.
Schematic diagram for the experimental design for adaptome immune repertoire analysing Dampness ZHENG across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis. ABSTRACT Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide.
Lipeng Tang, Maojie Wang, Yuhong Yan, Shumin Qin, Youbang Liang, Danni Yao, Liyan Mei, Hao Deng, Shuyan Ye, Xiumin Chen, Kaixin Gao, Xirun Zheng, Taohua Liu, Xinmin Qiu, Song Li, Xinjie Yu, Wenjing Pan, Shaogang Huang, Zhe Wang, Runyue Huang, Guangjuan Zheng, Chuanjian Lu   +21 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes‐related complications: A systematic review and analysis

Diabetic Medicine, EarlyView.
This systematic review of 36 studies comparing machine learning with traditional statistical models for predicting diabetes‐related complications found modest discrimination gains with ensemble approaches, particularly random forest and gradient boosting.
Bismah Ghafoor, Francesco Zaccardi, Kamlesh Khunti, Sharmin Shabnam   +3 more
wiley   +1 more source

ArchMap is a web-based platform for reference-based analysis of single-cell datasets. [PDF]

Nat Genet
Lotfollahi M, Bright C, Skorobogat R, Dehkordi MM, George X, Richter S, Shitov VA, Topalova A, Melcher H, Nussbaumer N, Fomm A, Luecken MD, Theis FJ.   +12 more
europepmc   +1 more source

Artificial intelligence for detection and segmentation of accessory root canals in endodontic imaging: A systematic review

European Journal of Oral Sciences, EarlyView.
Abstract Accessory root canal anatomy, including second mesiobuccal (MB2) and middle mesial canals (MMC), is difficult to identify and may compromise endodontic outcomes when missed, supporting artificial intelligence (AI)‐based diagnostic tools. This systematic review (CRD420261415943) included studies evaluating AI models for accessory canal or root ...
Hugo Henrique dos Santos Dantas Guimarães, Karla Nogueira Matos   +1 more
wiley   +1 more source

P-KNN: Joint calibration of multiple pathogenicity prediction tools streamlines variant classification. [PDF]

Genet Med
Lin PY, Brandes N.
europepmc   +1 more source

Physiological media and oxygen levels modulate cancer hallmarks in cultured breast cancer cells

The FEBS Journal, EarlyView.
MCF7 breast cancer cells were cultured in standard conditions (18% O2 and DMEM) and physiological conditions (5% O2 and Plasmax, a medium modeled after the human plasma metabolome). A combined transcriptomic and proteomic approach was used to identify gene expression signatures at the mRNA and protein levels upstream of functional enrichment analyses ...
Jacob E. Wiebe, Ricardo Alva, Fereshteh Moradi, Sarah Alderman, Ping Liang, Jeffrey A. Stuart   +5 more
wiley   +1 more source

Directional information flow in human frataxin defines allosteric pathways connecting the hydrophobic core to the iron‐binding ridge

The FEBS Journal, EarlyView.
Human frataxin deficiency causes Friedreich's ataxia, yet how iron‐binding events are communicated across the protein is unclear. Using transfer entropy analysis of molecular dynamics simulations, we identify buried hydrophobic core leucines (LEU136, LEU140) as the source of directional signaling toward the iron‐binding acidic ridge.
Kevser Kübra Kırboğa, Ecir Uğur Küçüksille   +1 more
wiley   +1 more source

From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction <i>via</i> the Enalos Cloud Platform. [PDF]

RSC Adv
Varsou DD, Tsoumanis A, Longhin EM, Dusinska M, Mintis DG, Kolokathis PD, Papavasileiou KD, Lynch I, Melagraki G, Afantitis A.   +9 more
europepmc   +1 more source