Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …
[HTML][HTML] Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches
Thyroid cancer continues to exhibit a rising incidence globally, predominantly affecting
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
women. Despite stable mortality rates, the unique characteristics of thyroid carcinoma …
Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods
Recently, identifying robust biomarkers or signatures from gene expression profiling data
has attracted much attention in computational biomedicine. The successful discovery of …
has attracted much attention in computational biomedicine. The successful discovery of …
Autosurv: interpretable deep learning framework for cancer survival analysis incorporating clinical and multi-omics data
Accurate prognosis for cancer patients can provide critical information for optimizing
treatment plans and improving life quality. Combining omics data and demographic/clinical …
treatment plans and improving life quality. Combining omics data and demographic/clinical …
Long Short-Term Memory-Deep Belief Network based Gene Expression Data Analysis for Prostate Cancer Detection and Classification
Prostate cancer (PRC) is the major reason of mortality globally. Early recognition and
classification of PRC become essential to enhance the quality of healthcare services. A …
classification of PRC become essential to enhance the quality of healthcare services. A …
Artificial intelligence in cancer pathology: Challenge to meet increasing demands of precision medicine
B Lai, J Fu, Q Zhang, N Deng… - … Journal of Oncology, 2023 - spandidos-publications.com
Clinical efforts on precision medicine are driving the need for accurate diagnostic, new
prognostic and novel drug predictive assays to inform patient selection and stratification for …
prognostic and novel drug predictive assays to inform patient selection and stratification for …
BBOX1 mediates metabolic reprogramming driven by hypoxia and participates in the malignant progress of high-grade serous ovarian cancer
J Huang, Y Tang, Y Li, W Wei, F Kang, S Tan… - … et Biophysica Acta (BBA …, 2024 - Elsevier
High-grade serous ovarian cancer (HGSOC) is the most aggressive type of ovarian cancer
that causes great threats to women's health. Therefore, we performed RNA-sequencing …
that causes great threats to women's health. Therefore, we performed RNA-sequencing …
Artificial Intelligence in Ovarian Digital Pathology
As one of the leading technological advances in histopathology in recent years, digital
pathology and the move towards fully digitised workflows is transforming clinical practice …
pathology and the move towards fully digitised workflows is transforming clinical practice …
Machine-learning diagnostic models for ovarian tumors
Y Sun, B Wen - Heliyon, 2024 - cell.com
Purpose To create a diagnostic framework for clinical behavior and pathological tissue
prognosis in ovarian cancer by using machine-learning (ML) methods based on multiple …
prognosis in ovarian cancer by using machine-learning (ML) methods based on multiple …
Ovarian Cancer Detection Based on Elman Recurrent Neural Network
The early detection of cancers increases the possibility of health recovery and prevents the
disease from becoming a silent killer. This study introduces an effective method for …
disease from becoming a silent killer. This study introduces an effective method for …