Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: Early graft failure within 90 postoperative days is the leading cause of mortality after...
Doxorubicin (Dox)-induced cardiotoxicity remains a critical barrier to optimizing breast cancer (BC)...
BACKGROUND: Lymph node (LN) metastasis is a well-established independent prognostic factor in head a...
BACKGROUND: Peri-operative blood transfusion is common during solid-organ transplantation, yet the i...
INTRODUCTION: Accurate evaluation of liver steatosis and overall organ quality is critical for optim...
The outcomes of children with aplastic anemia receiving cyclosporine monotherapy vary significantly ...
Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ t...
RATIONALE & OBJECTIVE: Nearly 20% of deceased donor kidneys in the United States are placed "out-of-...
BACKGROUND: Venous thromboembolism (VTE) is a common and severe complication in intensive care unit ...
INTRODUCTION: Respiratory-induced artefacts cause blurring in PET images, impairing lesion identific...
In China's booming micro-short drama industry, Artificial Intelligence Generated Content (AIGC) pres...
Rational design and synthesis of stable and efficient photocatalysts for selective U(VI) capture in ...
PURPOSE OF REVIEW: Microvascular inflammation (MVI) is a central feature of allograft rejection, tra...
Sickle cell disease (SCD), a monogenic disorder arising from a single point mutation in the β-globin...
Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and n...
Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to mai...
BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) cirrhosis is a leading indicatio...
Pathogenic mutations in Leucine-rich repeat kinase 2 (LRRK2) are the predominant genetic cause of Pa...
BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblast...
Understanding and predicting catalyst performance from structural and electronic information remains...