Results 231 to 240 of about 741,345 (366)

THE SEPARATION OF NATURAL ESTROGENS BY COUNTER-CURRENT DISTRIBUTION

open access: hybrid, 1950
Lewis L. Engel   +3 more
openalex   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

open access: yesAdvanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar   +3 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Exposure Registries as a Prevention Tool for Occupational Cancers: Establishing a New Hazardous Drug Registry for Oncology Personnel

open access: yesAmerican Journal of Industrial Medicine, EarlyView.
ABSTRACT Public health registries collect and maintain demographic and health data on a cohort of people with a common disease or exposure. While disease registries have proliferated in recent decades, registries comprising persons with potentially hazardous exposures—known commonly as exposure registries—are rare.
Sammy Almashat   +3 more
wiley   +1 more source

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