Latest AI and machine learning research in cardiovascular for healthcare professionals.
Purpose: Cyclin-dependent kinase 4/6 inhibitors in combination with endocrine therapy have become wi...
Deep learning has enabled substantial advances in oncology, including cancer detection and diagnosis...
Background: Patients with ER-positive/HER2-negative early breast cancer of low or intermediate grade...
False negatives remain a critical limitation of computer-aided diagnosis (CAD) systems for breast ca...
Background Chemotherapy (CT) de-escalation strategies based on dual HER2 blockade with trastuzumab a...
Whole slide image (WSI) analysis in computational pathology follows a multiple instance learning (MI...
Background: Adjuvant therapy decision in early-stage node-negative breast cancer remains one of the ...
Breast cancer is the leading cause of cancer-related mortality among women in Sub-Saharan Africa, wh...
Purpose: Digital-twin frameworks can potentially offer a pathway toward individualized treatment but...
Predicting molecular receptor status, including estrogen receptor (ER), progesterone receptor (PR), ...
Severe radiation-induced lymphopenia (RIL), specifically Grade 4 RIL (G4RIL), is a frequent immune t...
Although deep learning has advanced Whole Slide Image (WSI) Analysis, tissue artifacts like bubbles ...
Deep learning models for multi-modal breast cancer diagnosis achieve high predictive accuracy but re...
Assessment of tumour infiltrating lymphocytes (TILs) is a robust prognostic biomarker for HER2-posit...
Cardiovascular disease (CVD) remains the leading cause of death among women, yet cardiovascular risk...
Rapid medical triage following ionizing radiation exposure is critical for emergency management, yet...
Drug repurposing offers a cost-effective path to new therapies for triple-negative breast cancer (TN...
Context-specific genome-scale metabolic modeling begins with scoring which of the approximately 10,6...
As spaceborne computing systems increasingly rely on neural network (NN) accelerators, the opacity o...
Virtual staining aims to computationally generate target-stained histopathological images while redu...
In large data sets discovery is often limited to pre-conceived hypotheses and data fishing. Here we ...