Latest AI and machine learning research in hematology for healthcare professionals.
Emerging microfluidic-based cell assays favor label-free red blood cell (RBC) depletion. Magnetic se...
I-CLINDE is a radiotracer developed for SPECT and targets the 18-kDa translocator protein (TSPO). TS...
The detection and classification of white blood cells (WBCs, also known as Leukocytes) is a hot issu...
BACKGROUND: The purpose of this study is to assess incidence and risk factors for severe renal dysfu...
A lensless blood cell counting system integrating microfluidic channel and a complementary metal oxi...
Minimally invasive surgery has gained increasing acceptance over the last few years, which has expan...
BACKGROUND: The use of platelet-rich plasma (PRP) for the treatment of osteoarthritis (OA) has demon...
INTRODUCTION: Intra-articular injections of platelet rich plasma (PRP) for the treatment of knee ost...
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowle...
Statistical models to predict incident diabetes are often based on limited variables. Here we pursue...
Iron overload is one of the major prognostic factor in thallassemia patients. We aimed to evaluate i...
This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic s...
In the recent years, wireless capsule endoscopy (WCE) technology has played a very important role in...
Transient anisocoria is rare during blowout fracture reconstruction. We report a case of transient a...
In transfusion medicine, the identification of the Rhesus D type is important to prevent anti-D immu...
INTRODUCTION: Clinical deterioration (ICU transfer and cardiac arrest) occurs during approximately 5...
This paper presents a new study based on a machine learning technique, specifically an artificial ne...
BACKGROUND: The advantages of laparoscopic liver resection become more obvious as evidence on its lo...
Diabetes mellitus is a metabolic disorder characterized by varying hyperglycemias either due to ins...
BACKGROUND: Data on coagulation changes in paroxysmal atrial fibrillation (PAF) are scarce. The aim ...
An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment...