Latest AI and machine learning research in multiple myeloma for healthcare professionals.
The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....
Antimicrobial resistance (AMR) poses a critical and growing global health threat, directly causing m...
Tropomyosin receptor kinase A (TrkA), a high-affinity receptor for nerve growth factor (NGF), is imp...
AIM: To explore associations between artificial intelligence (AI)-based baseline optical coherence t...
Follicular lymphoma (FL), traditionally considered an indolent yet incurable malignancy, is experien...
Transcranial ultrasound imaging plays an important role in the diagnosis of brain diseases and the m...
PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected ...
Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifest...
Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) patholo...
Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished b...
Dose-dependent hematological toxicity of lenalidomide has been reported previously, and thus, there ...
Acute lung injury (ALI) is a common acute and critical syndrome with high mortality. The uncontrolla...
The natural habitats of wild horseshoe crabs (such as beaches, shallow water areas, and intertidal s...
Multiple myeloma (MM) is a prevalent hematologic malignancy characterized by abnormal proliferation ...
Programmed cell death (PCD) is a significant factor in the progression of hepatocellular carcinoma (...
Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time acces...
is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes as...
Osteoporosis (OP), a metabolic disorder predominantly impacting postmenopausal women, has seen consi...
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompt...
To explore the application efficacy and significance of deep learning in anesthesia management for g...
The artificial structures can influence wetland topology and sediment properties, thereby shaping pl...