Results 151 to 160 of about 3,667,438 (313)
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
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Sensor Selection for Tidal Volume Determination via Linear Regression-Impact of Lasso versus Ridge Regression. [PDF]
Laufer B +8 more
europepmc +1 more source
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald +7 more
wiley +1 more source
Ridge and Lasso regressions are types of linear regression, a machine learning tool for dealing with data. Based on multiobjective optimization theory, we transform Ridge and Lasso regression into bi-objective optimization problems. The Pareto fronts of
W. P. Freire
doaj +1 more source
Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers. [PDF]
Lozada DN, Sandhu KS, Bhatta M.
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Reservoir Computing‐Based Glucose Sensing With an Enzymatic Reaction Network
Glucose oxidase (GOx) catalyzes the conversion of glucose into gluconic acid, lowering the solution pH. The extent of pH change depends on the glucose input and directly modulates the activity of the enzyme reservoir. Glucose levels can be sensed by monitoring the changes in the enzymatic reservoir output, that is, the generation of peptide fragments ...
Souvik Ghosh +3 more
wiley +2 more sources
Regional Neuroanatomic Effects on Brain Age Inferred Using Magnetic Resonance Imaging and Ridge Regression. [PDF]
Massett RJ +7 more
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source

