Results 191 to 200 of about 193,123 (308)
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye +15 more
wiley +1 more source
Associations of glucose- and lipid-lowering medications with incident or first-recorded psoriasis: a systematic review of real-world observational studies. [PDF]
Li Z, Yang J, Chen D.
europepmc +1 more source
A VDAP‐programmed liquid‐crystalline depot enables pH‐responsive postoperative immunotherapy for triple‐negative breast cancer. VDAP stabilizes a leakage‐resistant HII mesophase through peptide–lipid electrostatic assembly, whereas tumor acidosis unlocks the matrix and promotes graded topology remodeling toward a bicontinuous Im3̄m cubic phase for ...
Yan Yan +12 more
wiley +1 more source
Subclinical matrix disruption precedes degenerative meniscal tears across the knee joint. A spatial compartmental radiomics model utilizing 3D‐DESS MRI captures early osteochondral destabilization, accurately predicting incident tears up to four years pre‐collapse. Feature attributions uncover coordinated chondral and osseous alterations, advancing non‐
Shengfa Li +13 more
wiley +1 more source
Risk of Inflammatory Bowel Disease After Anti-CD20 Treatment in Multiple Sclerosis.
Kallin S +5 more
europepmc +1 more source
Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley +1 more source
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Medicare Part D utilization management for negotiated drugs and within-class comparators, 2019-2026. [PDF]
Jain V, McCoy RG.
europepmc +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Case Report: Integrated physiological and performance profiling of an elite athlete with differences of sex development. [PDF]
Hu K +9 more
europepmc +1 more source

