Results 131 to 140 of about 5,170 (214)

Clifti-GPT: privacy-preserving federated fine-tuning and transferable inference of foundation models on clinical single-cell data. [PDF]

BioData Min
Bakhtiari M, Elkjaer ML, Can AO, Theis F, Oubounyt M, Baumbach J.   +5 more
europepmc   +1 more source

Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu, Nur Mohammad, Fahad Ahmed, Towsif Alam, Koushik Saha, Durga Shahi, Adib Hossain, Mia Md. Tofayel Gonee Manik, Mst. Rina Parvin   +8 more
wiley   +1 more source

HierAnom‐Path: Zero‐Shot Rare Cancer Detection in Histopathology via Hierarchical Foundation Model Adaptation

Computational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Rare cancers collectively represent 20%–25% of all malignancies yet yield fewer than 50 annotated whole‐slide images (WSIs) per subtype in publicly available archives, rendering supervised deep learning inapplicable. We present HierAnom‐Path, to the best of our knowledge, the first framework for zero‐shot rare cancer anomaly detection in ...
Noora Saleem Jumaah, Mohanad Sameer Jabbar, Saif H. Alwaeli, Noor Ayesha, Mohamed Babiker A. Mohamed, Muhammad I. Khan   +5 more
wiley   +1 more source

PestDetectSim: an integrated approach for crop pest diagnosis using object detection and similarity-based image retrieval. [PDF]

Plant Methods
Lee J, Yin H, Jin D, Park S, Zheng R, Gu YH.   +5 more
europepmc   +1 more source

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Data from high‐throughput phenotyping (HTP) could be used for phenotype imputation to enhance genomic selection (GS) or gene discovery, but this has not been explored in crop species. Three machine learning models: multiple linear regression (MLR), missForest, and k‐nearest neighbors, were evaluated for grain yield (GY) phenotype imputation in
Raysa Gevartosky, Lucas Berger Munaro, Jessica E. Rutkoski   +2 more
wiley   +1 more source

DepthDiff: Restoring Low-Depth Single-Cell RNA-Seq Signals via Diffusion Denoising. [PDF]

Biology (Basel)
Hou X, Sun J, Liu Y, Wang G.
europepmc   +1 more source

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, Volume 120, Issue 5, Page 1326-1337, November 2026.
Clinical translation of novel therapies can be hindered by heterogeneity‐driven sample size inflation in late‐stage trials. In acetaminophen‐induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy signals.
Chris Humphries, Alastair M. Kilpatrick, Kathleen M. Scullion, Rhona Aird, Lorraine Bruce, Maria Elena Candela, Tak Yung Man, Stuart J. Forbes, James W. Dear   +8 more
wiley   +1 more source

EmmaEmb: A quantitative framework for analyzing embedding spaces in molecular biology. [PDF]

Patterns (N Y)
Rissom PF, Škrhák V, Yanez Sarmiento P, Safer JF, Coley CW, Renard BY, Heyne HO, Iqbal S.   +7 more
europepmc   +1 more source

Müller Glia Subtypes Define Neuro‐Glial Associations and Spatial Morphogen Axes in the Zebrafish Retina

Glia, Volume 74, Issue 11, November 2026.
Zebrafish Müller glia are heterogeneous in the early larval retina. Zebrafish Müller glia subtypes define a spatial axis of retinoic acid metabolism. Neuron‐associated glial programs identified in Zebrafish Müller glia are evolutionarily conserved in mammals. ABSTRACT Müller glia are instrumental macroglia of the vertebrate retina, once thought to be a
Samuel S. Storey, Carrie L. Hehr, Shaelene Standing, Sarah McFarlane   +3 more
wiley   +1 more source

When Data Augmentation Falls Short: Wi-Fi Fingerprint-Based Indoor Localization Revisited. [PDF]

Sensors (Basel)
Malikov N, Ristin M, Seytnazarov S.
europepmc   +1 more source