Deep Learning-Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation.
Ananya RaghuAnisha RaghuJillian F WisePublished in: JMIR bioinformatics and biotechnology (2024)
Our findings highlight the potential of using machine learning techniques to devise accurate tests for detecting TOO for CUP. Since microRNAs are carried throughout the body via extracellular vesicles secreted from cells, they may serve as key biomarkers for liquid biopsy due to their presence in blood plasma. Our work serves as a foundation toward developing blood-based cancer detection tests based on the presence of microRNA.
Keyphrases
- deep learning
- induced apoptosis
- poor prognosis
- machine learning
- papillary thyroid
- cell cycle arrest
- convolutional neural network
- high grade
- high resolution
- ultrasound guided
- endoplasmic reticulum stress
- oxidative stress
- binding protein
- fine needle aspiration
- signaling pathway
- young adults
- climate change
- mass spectrometry
- real time pcr
- childhood cancer
- long non coding rna
- bioinformatics analysis