Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...

AI tool promises faster, more accurate cervical cancer treatment planning

According to the World Health Organization, each year cervical cancer impacts approximately 600,000 women throughout the ...
IEEE

A Novel AI Framework for Breast Cancer Molecular Biomarker Response Score Detection on Cells Level Using Marker-Based Watershed Segmentation and Machine Learning Classifiers

Abstract: Breast cancer is a highly complex disease that requires precise molecular subtyping to guide tailored treatment strategies. In this study, we employed a marker-based watershed segmentation ...
IEEE

Trans-Driver: A Deep Learning Approach for Cancer Driver Gene Discovery With Multi-Omics Data

Abstract: Driver genes play a crucial role in the growth of cancer cells. Accurate identification of cancer driver genes is essential for deepening our understanding of cancer pathogenesis and ...
SciTech Daily

The Surprising Things Scientists Are Learning About Diabetes Drugs and Cancer

Medications used to treat type 2 diabetes may influence cancer risk and progression through biological pathways that extend beyond blood sugar control. By affecting inflammation, immune responses, and ...
Frontiers

Augmenting sparse spaceflight mass spectra datasets for machine learning applications

Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...
chromatographyonline

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...