Predicting Postoperative Anterior Chamber Depth, Intraocular Lens Tilt, and Decentration Using an Internally Validated Machine Learning Model. [PDF]
Waser K +6 more
europepmc +1 more source
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo +4 more
wiley +1 more source
Prediction of Nuclear Magnetic Resonance Surface Relaxivity for Shales. [PDF]
Cheng J, Zhang S, Song X.
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Beyond linearity - a new Partial Least Squares - Path Modelling (PLS-PM) inner weighting scheme for detecting and approximating nonlinear structural relationships in Structural Equation Models. [PDF]
Mendes JM, Coelho PS.
europepmc +1 more source
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases. [PDF]
Rashedi KA +5 more
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation. [PDF]
Poggi L +12 more
europepmc +1 more source
Zinc Exposure Causes Disulfidptosis to Induce Miscarriage by Up‐Regulating GATA1/METTL1/SLC7A11 Axis
Zn exposure up‐regulates GATA1, promoting GATA1‐mediated METTL1 and SLC7A11 transcription. It also enhances METTL1‐mediated m7G modification on SLC7A11 mRNA, increasing SLC7A11 mRNA stability. Ultimately, Zn exposure up‐regulates SLC7A11 at both transcriptional and post‐transcriptional levels, causing disulfidptosis. Knockdown of murine Slc7a11, Gata1,
Wenxin Huang +16 more
wiley +1 more source

