Latest AI and machine learning research in hematology for healthcare professionals.
This study aimed to develop and validate a machine learning (ML) model tailored to the Korean popula...
Diabetes, characterized by heightened blood sugar levels, can lead to a condition called Diabetic Re...
Raised blood sugar (hyperglycemia) is considered a strong indicator of prediabetes or diabetes melli...
Mid-infrared spectral analysis of glucose in subcutaneous interstitial fluid has been widely employe...
ChatGPT and other artificial intelligence (AI) systems have captivated the attention of healthcare p...
Stroke is the leading cause of death and disability worldwide. Cadmium is a prevalent environmental ...
The need for the identification of risk factors associated to COVID-19 disease severity remains urge...
Psychotic disorders have been linked to immune-system abnormalities, increased inflammatory markers,...
BACKGROUND: Colorectal cancer has a high incidence and mortality rate due to a low rate of early dia...
BACKGROUND: Patients with hip fractures frequently need to receive perioperative transfusions of con...
BACKGROUND: Treatment with atezolizumab and bevacizumab has become standard of care for advanced unr...
Postoperative ileus (POI) is a common complication after colorectal surgery, leading to increased h...
In sub-Saharan Africa, acute-onset severe malaria anaemia (SMA) is a critical challenge, particularl...
Radial applanation tonometry is a well-established technique for hemodynamic monitoring and is becom...
Liquid biopsy demonstrates excellent potential in patient management by providing a minimally invasi...
Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which ...
Bone marrow aspiration (BMA) smear analysis is essential for diagnosis, treatment, and monitoring of...
Schizophrenia (SCZ) is a chronic, severe, and complex psychiatric disorder that affects all aspects ...
Predicting postpartum hemorrhage (PPH) before delivery is crucial for enhancing patient outcomes, en...
Machine learning (ML) and deep learning (DL) models are being increasingly employed for medical imag...
Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients w...