Latest AI and machine learning research in leukemia for healthcare professionals.
Deep learning has gained popularity in drug combination synergy prediction; however, DL models requi...
Whether individual transcripts carry intrinsic features that predetermine their response to external...
Extracellular vesicles (EVs) hold promise as minimally invasive biomarkers for neurodegenerative pro...
Ovarian cancer is the most lethal gynecologic malignancy: around 60% of patients are diagnosed at an...
The spatial organization of proteins within cells governs virtually all cellular functions. Yet, cur...
Peripheral artery disease (PAD) is a complex vascular disorder characterized by heterogeneous molecu...
Automated analysis of peripheral blood smears for Acute Lymphoblastic Leukemia (ALL) is hindered by ...
Background: Despite improved cancer outcomes with kinase inhibitors (KIs), their cardiotoxicity rema...
Introduction: Adolescents with mental health disorders represent a vulnerable group with complex car...
Quantum kernel methods offer a potential advantage for classification tasks in high-dimensional feat...
Mechanistic modeling has long been used as a tool to describe the dynamics of biological systems, es...
Chemotherapy dose optimization can be formulated as a dynamic treatment regime, requiring sequential...
Predicting microsatellite instability (MSI) status from routine hematoxylin and eosin (H&E) whole sl...
Gastric cancer patients frequently experience skeletal muscle loss during the perioperative and adju...
Protecting sensitive health data while enabling collaborative analysis is a central challenge in hea...
We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints ...
Background Timely detection is crucial to improve outcomes in patients with cardiac amyloidosis (CA)...
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatmen...
Chromosome analysis is a fundamental step in the diagnosis of genetic diseases, but the manual karyo...
Metabolic dysfunction is increasingly recognized as a risk factor for poor outcomes in breast cancer...
In the treatment of high grade serous ovarian cancer (HGSC), patients initially diagnosed with unres...