Latest AI and machine learning research in transplantation for healthcare professionals.
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector populations and tumor microenvironment (TME)-mediated suppression. Here, we present a droplet microfluidic platform that couples machine-learning-based, frame-wise K562 target-cell detection and live/dead classification with deterministic temporal event c...
Corneal blindness affects millions worldwide, yet donor tissue remains insufficient to meet clinical demand. In this context, 3D bioprinting has emerged as a promising approach for fabricating corneal constructs with controlled architecture and composition. This review examines recent advances in corneal tissue engineering, focusing on bioink design, biofabrication strategies, and functional chara...
Chronic tendinopathy is typified by persistent tendon-associated pain, transmitted by local nociceptive neurons. However, the regulatory function of s...
BACKGROUND: The transfusion of blood components remains a cornerstone in the management of hematological and onco-hematological diseases. Effective bl...
Visualizing genome organization and transcriptional dynamics with spatial and temporal precision in living cells is essential for elucidating gene reg...
PURPOSE: Internal anatomical motion challenges precise radiation delivery during external beam radiotherapy. Estimating and compensating for anatomica...
Emerging evidence highlights hypoxia-responsive long non-coding RNAs (lncRNAs) as potential modulators in tumor biology. In this study, we explored th...
The increasing focus on the United Nations Sustainable Development Goals and on global net-zero emission targets has intensified the search for renewa...
BACKGROUND: Given the interplay of cirrhosis with malignancy, management of hepatocellular carcinoma (HCC) relies on multidisciplinary clinician judge...
Triple-negative breast cancer (TNBC) is an aggressive subtype lacking effective targeted therapies. Although immune checkpoint inhibitors such as pemb...
BACKGROUND: The prognosis for patients with glioblastoma (GBM) remains extremely poor, a challenge largely attributable to the complex nature of its m...
BACKGROUND: Accurate risk stratification of biliary complications (BCs) after liver transplantation (LT) remains challenging. This study aimed to deve...
Neural interfacing materials must deliver exceptional electrochemical performance, while integrating safely with the central nervous system. In this s...
Early non-invasive prediction of cardiovascular risk is an essential prerequisite for preventive medicine, especially in resource-limited settings. Re...
BACKGROUND: Definitive chemoradiotherapy for head and neck squamous cell carcinomas (HNSCC) carries significant long-term toxicities, with elective ne...
The organ- and stage-specific diversity of megakaryocytes (MKs) has prompted a reassessment of their distribution and functions. By integrating single...
BACKGROUND: Sepsis is a major global health challenge characterized by a complex pathogenesis involving an early hyperinflammatory phase followed by a...
OBJECTIVE: Magnetic resonance imaging (MRI) and computed tomography (CT) are commonly used to measure organ volumes, but accuracy has not been methodi...
The integration of multiferroic materials into complementary metal-oxide-semiconductor (CMOS) technology presents an exciting frontier in nanoelectron...
Chronic cadmium chloride (CC) exposure is associated with diverse toxicological outcomes, yet its potential role in the pathogenesis of ankylosing spo...