Results 21 to 30 of about 270,692 (266)

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

open access: yesBig Data and Cognitive Computing, 2023
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats.
Smita Khairnar   +3 more
doaj   +1 more source

Explainable self-supervised learning for medical image diagnosis based on DINO V2 model and semantic search

open access: yesScientific Reports
Medical images have become indispensable for decision-making and significantly affect treatment planning. However, increasing medical imaging has widened the gap between medical images and available radiologists, leading to delays and diagnosis errors ...
Alaa Hussien   +5 more
doaj   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

CEACAM1 participation in breast cancer progression

open access: yesMolecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin   +3 more
wiley   +1 more source

Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization

open access: yesScientific Reports
Efficient pavement maintenance requires reliable classification of pavement condition and clear prioritization of interventions. This study develops and benchmarks a multi-model machine learning framework for pavement condition classification in both ...
Bhoomika Gupta   +4 more
doaj   +1 more source

FunduScope: a human-centered, machine learning–based interactive tool for training junior ophthalmologists in diabetic retinopathy detection

open access: yesFrontiers in Big Data
Interpreting fundus images is an essential skill for detecting eye diseases, such as diabetic retinopathy (DR), one of the leading causes of visual impairment. However, the training of junior doctors relies on experienced ophthalmologists, who often lack
Sara-Jane Bittner   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology

open access: yesMachine Learning and Knowledge Extraction, 2021
Machine learning is an established and frequently used technique in industry and academia, but a standard process model to improve success and efficiency of machine learning applications is still missing.
Stefan Studer   +6 more
doaj   +1 more source

ARTIFICIAL INTELLIGENCE FOR LANGUAGE TEACHING AND LEARNING

open access: yesInternational Humanitarian University Herald. Philology, 2023
Дана стаття містить огляд деяких інноваційних методів вивчення іноземної мови з використанням сучасних технологій на основі штучного інтелекту, таких як система Google Translate і ChatGPT. Використання Google Translate і ChatGPT трансформувало метод викладання і вивчення іноземних мов.
Shevchenko, О. М., Оgurtsova, O. L.
openaire   +2 more sources

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy