Latest AI and machine learning research in cardiovascular for healthcare professionals.
We introduce a new strategy for compositional neural surrogates for radiation-matter interactions, a...
Predicting the anatomical site of metastasis from a primary tumour remains an unsolved problem in br...
Background: Triple-negative breast cancer (TNBC) exhibits substantial molecular heterogeneity and la...
Chemotherapy dose optimization can be formulated as a dynamic treatment regime, requiring sequential...
Gastric cancer patients frequently experience skeletal muscle loss during the perioperative and adju...
Motivation: Multi-omics integration can improve cancer subtyping, but modality informativeness and n...
In the treatment of high grade serous ovarian cancer (HGSC), patients initially diagnosed with unres...
Large language model (LLM) agents have automated tool use in chemistry, but orchestrating multi step...
Spatial transcriptomics (ST) enables spatially resolved gene profiling but remains expensive and low...
MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in ...
BackgroundPredicting whether a treatment will demonstrate meaningful clinical benefit before committ...
Purpose. High-grade serous ovarian carcinoma (HGSOC) is characterized by pronounced biological and s...
Immunohistochemistry (IHC) is essential for assessing specific immune biomarkers like Human Epiderma...
Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are m...
Breast cancer is a highly heterogeneous disease with diverse molecular profiles. The PAM50 gene sign...
Purpose: Manual verification of AI-based auto-contouring is labor-intensive and prone to fatigue-rel...
In complex environments, infrared object detection exhibits broad applicability and stability across...
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...
De novo peptide design methods traditionally couple generation to 3D structure prediction, limiting ...
HER2 heterogeneity and reversible phenotypic plasticity play a central role in breast cancer progres...