Results 201 to 210 of about 30,442 (292)
Food Safety and Health, EarlyView.The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Projection-Free CLIP-Scale EEG Latents via a U-Net-Style Autoencoder. [PDF]
Sensors (Basel)Lee J, Ahn J, Sim J, Kang H.
europepmc +1 more source
Food Safety and Health, EarlyView.Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi +7 more
wiley +1 more source
Deep learning-based neonatal outcome prediction: an LSTM autoencoder framework for pattern analysis and risk assessment. [PDF]
Sci RepA SP, B S.
europepmc +1 more source
Health Care Science, EarlyView.Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source
Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing. [PDF]
BiogerontologyKendiukhov I.
europepmc +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
Heat Transfer, EarlyView.ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders. [PDF]
Sci RepHadizadeh A, Tarighat A, Malian A.
europepmc +1 more source
International Journal of Cancer, EarlyView.ABSTRACT Spot‐based spatial transcriptomics (ST) allows for unbiased gene expression analysis within tissue architecture, overcoming the limitations of single‐cell RNA sequencing (scRNA‐seq) by preserving spatial context. However, the high spatial resolution in ST leads to cellular heterogeneity within spots, requiring computational deconvolution to ...
Stefan Altendorfer +2 more
wiley +1 more source
scDAU: a disentangled representation learning method for cross-modal translation in single-cell multi-omics data. [PDF]
BioinformaticsXue J +6 more
europepmc +1 more source