Results 221 to 230 of about 319,994 (331)

Intelligent techniques for predictive analytics in Agile software development. [PDF]

Sci Rep
Shankar SP, Chaudhari SS, Mishra V, Stephan T.   +3 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Forking ONS Challenge Solubility Code on GitHub

, 2009
Richard L. Apodaca
openalex   +1 more source

A systematic review of machine learning on clinical MALDI-TOF MS. [PDF]

Brief Bioinform
Schmidt-Santiago L, Guerrero-López A, Sevilla-Salcedo C, Rodríguez-Temporal D, Rodríguez-Sánchez B, Gómez-Verdejo V.   +5 more
europepmc   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, EarlyView.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

OmniBio: an easy-to-use web app for kinetic growth parameter calculation from microplate reader data. [PDF]

Bioinform Adv
Dehnhardt-Amengual S, Ardiles C, Guarda I, Achiardi-Letelier I, Larrondo LF, Mardones W.   +5 more
europepmc   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

MicroLive: an image processing toolkit for quantifying live-cell single-molecule microscopy. [PDF]

Bioinform Adv
Aguilera LU, Raymond WS, Sears RM, Nowling NL, Munsky B, Zhao N.   +5 more
europepmc   +1 more source

Enhancing Atomic‐Resolution in Electron Microscopy: A Deep Learning Denoiser Operating in the Frequency Domain

Advanced Intelligent Systems, EarlyView.
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet, Marc Botifoll, Xuli Chen, Martin Børstad Eriksen, Jing Yu, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Jordi Arbiol   +8 more
wiley   +1 more source

FracFixR: a compositional statistical framework for absolute proportion estimation between fractions in RNA sequencing data. [PDF]

Bioinformatics
Cleynen A, Ravindran A, Shirokikh NE.
europepmc   +1 more source