Hematology

Multiple Myeloma

Latest AI and machine learning research in multiple myeloma for healthcare professionals.

7,268 articles
Stay Ahead - Weekly Multiple Myeloma research updates
Subscribe
Browse Specialties
Showing 1-21 of 7,268 articles
Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifest...

Tracheal Targeted Nanogrid Delivery Systems of Dexamethasone Visualized by Single-Particle Tracing and Multiscale Pathological Mapping.

Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) patholo...

Dual-action membrane-chimeric liposomes with self-reinforcing targeting for acute lung injury treatment.

Acute lung injury (ALI) is a common acute and critical syndrome with high mortality. The uncontrolla...

Wild horseshoe crab image denoising based on CNN-transformer architecture.

The natural habitats of wild horseshoe crabs (such as beaches, shallow water areas, and intertidal s...

Inhibition of CDC27 O-GlcNAcylation coordinates the antitumor efficacy in multiple myeloma through the autophagy-lysosome pathway.

Multiple myeloma (MM) is a prevalent hematologic malignancy characterized by abnormal proliferation ...

Optimizing papermaking wastewater treatment by predicting effluent quality with node-level capsule graph neural networks.

Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time acces...

Comparative transcriptomic and molecular biology analyses to explore potential immune responses to challenge in .

is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes as...

Identification of endocrine-disrupting chemicals targeting key OP-associated genes via bioinformatics and machine learning.

Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...

Predictive modeling of mortality in carbapenem-resistant bloodstream infections using machine learning.

, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...

Effect of dexamethasone pretreatment using deep learning on the surgical effect of patients with gastrointestinal tumors.

To explore the application efficacy and significance of deep learning in anesthesia management for g...

Machine learning prediction on wetland succession and the impact of artificial structures from a decade of field data.

The artificial structures can influence wetland topology and sediment properties, thereby shaping pl...

The Walking Control of a Crab Biorobot in Amphibious Environment.

This article describes development of a crab biorobot that is capable of traversing diverse environm...

Effect of dexamethasone and tenoxicam on the virulence activities of different clinical isolates.

INTRODUCTION: This study aimed to examine the effect of commonly used non-antibiotic drugs (dexameth...

Dose reduction and toxicity of lenalidomide-dexamethasone in multiple myeloma: A machine-learning prediction model.

PURPOSE: Lenalidomide remains an effective drug for multiple myeloma, but it is often associated wit...

Interaction of systemic drugs causing ocular toxicity with organic cation transporter: an artificial intelligence prediction.

Chronic disease patients (cancer, arthritis, cardiovascular diseases) undergo long-term systemic dru...

Browse Specialties