Results 111 to 120 of about 1,035,961 (232)
Inferring structure and parameters of stochastic reaction networks with logistic regression. [PDF]
Choi B, Kang HW, Rempala GA.
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
MELODY: Mediation Analysis in Logistic Regression for High-Dimensional Mediators and a Binary Outcome. [PDF]
Chi S, Li X, Wei P, Huang X.
europepmc +1 more source
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon +6 more
wiley +1 more source
Diagnostic accuracy of hematological indices and logistic regression for β-thalassemia carrier screening in children. [PDF]
Uze Okay Z, Okay B.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Determinants of newborn birth size in Somaliland: an ordinal logistic regression analysis. [PDF]
Ibrahim AO +8 more
europepmc +1 more source
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano +4 more
wiley +1 more source
Predicting nurse burnout: A logistic regression approach to workplace and demographic factors. [PDF]
Haxhija E, Kruja D, Shabani Z.
europepmc +1 more source
PearSAN: A Machine Learning Method for Inverse Design Using Pearson Correlated Surrogate Annealing
A machine learning–assisted inverse design framework is introduced to overcome the curse of dimensionality in complex nanophotonic design problems. By leveraging Pearson‐correlated surrogate annealing (PearSAN) method within a generative latent space, rapid convergence toward optimal thermophotovoltaic metasurface designs is achieved, enabling precise ...
Michael Bezick +8 more
wiley +1 more source

