Latest AI and machine learning research in myeloma for healthcare professionals.
BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose disea...
OBJECTIVE: Multiple myeloma (MM) is the second most common hematologic malignancy in the U.S., with ...
This study explores the performance of deep learning models, specifically Convolutional Neural Netwo...
BackgroundHospitalized patients with blood cancer face an elevated risk for cardiovascular diseases ...
ETHNOPHARMACOLOGICAL RELEVANCE: ShenJiaoLingCao Decoction (SJLCD) is derived from the classic Chines...
Accurate medical image segmentation is crucial for enabling automated clinical decision procedures. ...
The natural habitats of wild horseshoe crabs (such as beaches, shallow water areas, and intertidal s...
BACKGROUND: The main purpose of this study is to observe and detect adverse reactions to the combina...
The integration of artificial intelligence (AI) into medical diagnostics is transforming the landsca...
ETHNOPHARMACOLOGICAL RELEVANCE: Shengxuebao Mixture (SXB) is a traditional Chinese medicine which ha...
BACKGROUND: Individualized treatment decisions for multiple myeloma (MM) patients require accurate r...
: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...
Lymphatic filariasis (LF) is a mosquito-borne neglected tropical disease that causes disfiguring of ...
Delayed diagnosis of systemic light chain (AL) amyloidosis is common and associated with worse survi...
BACKGROUND: Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic...
Multiple myeloma (MM) is a prevalent hematologic malignancy characterized by abnormal proliferation ...
Monitoring anemia recovery is crucial for clinical intervention. Morphological assessment of red blo...
Multiple myeloma is a hematologic malignancy characterized by the proliferation of abnormal plasma c...
Papermaking wastewater consists of a sizable amount of industrial wastewater; hence, real-time acces...
With the development of deep learning (DL) techniques, there has been a successful application of th...