Latest AI and machine learning research in cardiovascular for healthcare professionals.
The early detection of breast cancer currently relies on expensive mammography, followed by patholog...
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and painful side effect of paclitaxel ...
BackgroundFor patients with metastatic gastrointestinal cancers, chemotherapy resistance is a common...
Mammogram-based deep learning models have improved breast cancer risk prediction, but the learned im...
Metastatic breast cancer is one of the leading causes of premature mortality among women worldwide. ...
Hyperspectral Imaging (HSI) is a promising modality for intraoperative assessment of resection margi...
In intelligent video surveillance, cameras record image sequences during day and night. Commonly, th...
Physics-Informed Neural Networks (PINNs) are an attractive tool for partial-observation problems in ...
Current virtual staining approaches offer the potential for time- and cost-efficient biomarker quant...
Circulating-tumour DNA (ctDNA) carries evidence of drug resistance months before imaging shows it, b...
Objective: Tumor-infiltrating lymphocytes (TILs) in breast cancer are one of the most important indi...
Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central fo...
Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine ...
Background: CD8+ tumor-infiltrating lymphocytes (TILs) are established prognostic markers in colorec...
Background Background breast features are frequently noted in pathology reports alongside invasive b...
Background: African Americans (AA) experience disproportionate burden of colorectal cancer (CRC). Dy...
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...
Ionizing radiation induces molecular responses that may be used to estimate exposure when physical d...
Whether individual transcripts carry intrinsic features that predetermine their response to external...
Ovarian cancer is the most lethal gynecologic malignancy: around 60% of patients are diagnosed at an...
Accurate classification of breast cancer subtypes from gene expression data is critical for diagnosi...