Results 201 to 210 of about 2,280 (244)

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema in children. [PDF]

open access: yesBMC Med Imaging
Zhou H   +9 more
europepmc   +1 more source

A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging. [PDF]

open access: yesEnviron Monit Assess
Kolawole KK   +5 more
europepmc   +1 more source

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