Results 121 to 130 of about 441 (221)
Knee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 3, Page 1157-1169, March 2026.Abstract Purpose Accurate preoperative implant sizing is a critical component of successful total knee arthroplasty (TKA). Artificial intelligence (AI) has emerged as a promising tool for enhancing preoperative planning. This is achieved through predictive modelling based on different input modalities, including computed tomography (CT), plain ...
Randa Elsheikh +5 more
wiley +1 more source
Clinical Application of Peripheral Blood Biomarkers for Solid Tumors
MedComm, Volume 7, Issue 3, March 2026.Peripheral blood biomarkers provide a minimally invasive, dynamic, and potentially more accurate means to obtain a comprehensive tumor profile. Technologies for detecting them are advancing, and with the help of artificial intelligence, they are being used more and more often for cancer diagnosis, prognostic assessment, and therapeutic monitoring ...
Xinru Tu, Mengyan Tu, Junfen Xu
wiley +1 more source
MedComm, Volume 7, Issue 3, March 2026.Fertility preservation therapy allows young women with early EC to preserve fertility. We developed a non‐invasive MRI radiomics model to predict treatment success. It accurately identifies patients less likely to achieve remission, linking this to an immunosuppressive tumor environment. This aids personalized treatment planning.
Xingchen Li +8 more
wiley +1 more source
Turbulent convection as a significant hidden provider of magnetic helicity in solar eruptions. [PDF]
Sci Rep, 2023 Toriumi S, Hotta H, Kusano K.
europepmc +1 more source
MedComm, Volume 7, Issue 3, March 2026.Female‐specific renal GluCer accumulation disrupts mitochondrial quality control via a conserved purine‐mTORC1 pathway, triggering a wave of uremic toxins into the systemic circulation that constitutes a female‐biased vulnerability toward renal‐driven multiorgan senescence.
Zhen Ni +18 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 1, March 2026.Abstract Predicting drug–target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph‐DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long ...
Arief Sartono +4 more
wiley +1 more source
Study of Energy Loss Characteristics of a Shaft Tubular Pump Device Based on the Entropy Production Method. [PDF]
Entropy (Basel), 2023 Ji D, Lu W, Xu B, Xu L, Lu L.
europepmc +1 more source
Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley +1 more source
TIE‐GCM ROPE—Part II: Dynamic Modeling
Space Weather, Volume 24, Issue 3, March 2026.Abstract Forecasting thermospheric density remains a critical challenge for satellite drag modeling and space situational awareness. Building on our previously introduced Reduced Order Probabilistic Emulator framework which compresses high‐dimensional Thermosphere‐Ionosphere‐ Electrodynamics General Circulation Model outputs into a low‐dimensional ...
Anirudh Tapedia +2 more
wiley +1 more source
Numerical Modeling of Prominences and Coronal Rain with the MPI-AMRVAC Code. [PDF]
Sol PhysLiakh V, Jenkins J.
europepmc +1 more source