Latest AI and machine learning research in transplantation for healthcare professionals.
Within the digital transformation of medicine, transfusion medicine has quietly become a big-data discipline. The long-standing tradition of blood product standardization (e.g., ISBT-128) and large donor cohorts being followed over years-some of which are sampled in national biobank projects, build a favourable setting. In parallel, recent advances in artificial intelligence (AI) and data integrat...
BACKGROUND: Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellular growth in the liver, often leading to systemic inflammation and organ failure. Although its complex molecular mechanisms are not fully understood, the primary aim of this study is to enhance the timely and effective diagnosis and treatment of HCC by identifying key molecular targets and pathways....
Transfusion medicine generates enormous volumes of data across the vein-to-vein continuum, spanning donor characteristics, laboratory testing, compone...
The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strategies in cancer immunotherapy and chemotherapy. The...
Population-Based Training (PBT) has the drawback of using fixed, pre-programmed mutation and selection rules to optimize hyperparameters, which are no...
The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC) are primary drivers of therapeutic resistance an...
BACKGROUND: Artificial intelligence (AI) increasingly supports medical diagnosis, interventions, and clinical decision-making. In various domains of h...
Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates neuronal activity through discrete spike-based proce...
This study proposes the development of comparative and machine learning-based methodologies for the identification of inks and pigments, with potentia...
Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from subjective interpretation and variability caused by...
Lengthy acquisition time remains a key bottleneck for the widespread use of MRI in clinics. While accelerated MRI can reduce scan duration, it often i...
The clinical use of computed tomography (CT) scans has been steadily rising due to their ability to provide detailed three-dimensional (3D) representa...
Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerstone of regenerative medicine. Conventional approac...
In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue images are essential clinical tasks. Existing methods...
Efficient mRNA delivery to specific tissues requires optimized ionizable lipids, yet the role of lipid spatial conformation in organ targeting and end...
Although immunotherapy has revolutionized cancer treatment, many patients still experience limited benefit, highlighting the urgent need for improved ...
INTRODUCTION: Aldosterone dysregulation (excess aldosterone production at the source within the adrenal glands) in the absence of primary aldosteronis...
Post-kidney transplant rejection is a critical factor influencing transplant success rates and the survival of transplanted organs. With the rapid adv...