Cost-effectiveness of single-dose versus two-dose HPV vaccination: a Markov cohort modelling analysis of a Kenya-India LMIC composite. [PDF]
Wang J, Wang X, Xu J, Xu Q.
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Holding the treatment frame: borderline features, personality functioning, and psychotherapy dropout in a youth mental health service. [PDF]
De Salve F +6 more
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Dropout in supervised small-group exercise programs: a 7-year retrospective cohort study. [PDF]
da Silva CER +8 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Odocoileus virginianus PRNP sequencing reveals AF (Q<sub>95</sub>G<sub>96</sub>/H<sub>95</sub>G<sub>96</sub>) advantage over AC (Q<sub>95</sub>G<sub>96</sub>/Q<sub>95</sub>S<sub>96</sub>) against chronic wasting disease. [PDF]
London EW +5 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Effectiveness of the Functional-Cognitive and Sensory Treatment for Improving Daily Functioning of Individuals with Substance Use Disorder: A Randomized Controlled Trial. [PDF]
Assayag N +5 more
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source

