Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
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 …

[HTML][HTML] Advances and challenges in thyroid cancer: The interplay of genetic modulators, targeted therapies, and AI-driven approaches

S Bhattacharya, RK Mahato, S Singh, GK Bhatti… - Life Sciences, 2023 - Elsevier
Thyroid cancer continues to exhibit a rising incidence globally, predominantly affecting
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

L Li, WK Ching, ZP Liu - Computational biology and chemistry, 2022 - Elsevier
Recently, identifying robust biomarkers or signatures from gene expression profiling data
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

L Jiang, C Xu, Y Bai, A Liu, Y Gong, YP Wang… - NPJ precision …, 2024 - nature.com
Accurate prognosis for cancer patients can provide critical information for optimizing
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

BK Sethi, D Singh, SK Rout, SK Panda - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

Artificial Intelligence in Ovarian Digital Pathology

KE Allen, P Adusumilli, J Breen, G Hall… - Pathology of the Ovary …, 2024 - Springer
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 …

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 …

Ovarian Cancer Detection Based on Elman Recurrent Neural Network

HR Farhan, MS Kod, A Taqi, SA Ghazi - … Electrical Engineering and …, 2024 - pp.bme.hu
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 …