Results 171 to 180 of about 244,685 (311)

The pivotal role of interpretability in employee attrition prediction and decision-making

This article explores the evolution of machine learning (ML) algorithms, emphasizing the growing importance of interpretability in understanding automated decisions. Progress from early to advanced ML models highlights the need for better performance and
Marín Díaz, Gabriel, Galán Hernández, José Javier   +1 more
core  

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Impact of sequence selection on postoperative MRI interpretability and artifact reduction in simulated mandibular trauma. [PDF]

Front Oral Health
Zedler D, Al-Haj Husain A, Sandhu S, Wagner MEH, Stadlinger B, Essig H, Gassner Y, Frauenfelder T, Burian E.   +8 more
europepmc   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Ethical concerns toward medical artificial intelligence and acceptance intentions: a structural equation modeling analysis of the risk perception-trust pathway. [PDF]

Front Public Health
Gu S, Zhang J.
europepmc   +1 more source

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

Molecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi, Tuan Khang Huynh, Adway Kadam, Zahra Kardan, Yue Yan, Amina Jamal Laham, Sampath Kumar Loganathan   +6 more
wiley   +1 more source

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques. [PDF]

Health Care Sci
Alkhaibari S, Dong F.
europepmc   +1 more source

Mechanistic Interpretability: A New Trend in Interpretability Research

Mechanistic Interpretability (MI), originating from traditional interpretability which tracks the reasons behindneural network behaviors, dedicates itself to reconstructing neural network models into human-understandablealgorithms, often expressible as ...
趙, 羽風, 青木, 洸士郎, 峰岸, 剛基, 高槻, 瞭大   +3 more
core  

ADP‐ribosylation: An emerging regulator of the epigenome

Molecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho, Chenqian Liu, W. Lee Kraus   +2 more
wiley   +1 more source

Stability and interpretability of penalized logistic regression models for breast cancer risk prediction. [PDF]

PLoS One
Okyere F, Nyanney M.
europepmc   +1 more source