Latest AI and machine learning research in transplantation for healthcare professionals.
While hematoxylin and eosin (H&E) staining remains the gold standard for pathological diagnosis, its chemical-dependent workflow presents significant limitations, such as time-consuming protocols, hazardous reagent disposal and batch-to-batch variability in stain quality. We present UniStain, a breakthrough virtual staining framework that leverages label-free autofluorescence (AF) imaging and prom...
Machine learning (ML) has been widely used to accelerate the discovery of organic light-emitting diode (OLED) materials, but its application to improving device-level performance has been limited. Here, we develop an ML workflow that explicitly incorporates exciplex-specific design criteria, including exciplex-considered high triplet energy criteria, deep lowest-unoccupied molecular orbital (LUMO)...
Flexible sensors encounter significant challenges in subzero temperatures, including mechanical fragility, signal instability, and environmental susta...
Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, yet lacks targeted therapeutic strategies. This stu...
Difficult-to-treat rheumatoid arthritis (D2T RA) is an emerging challenge in aging populations, where disease persistence and therapeutic failure ofte...
Acylation modification plays a crucial role in modulating head and neck squamous cell carcinoma (HNSCC) progression, and their specific prognostic imp...
Inorganic electron donors improve low C/N wastewater denitrification performance and management. This study used an integrated strategy combining prot...
Cervical cancer (CC) is still a major gynecological tumor among women globally. The heterogeneity landscape and prognostic value of metabolic reprogra...
OBJECTIVE: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder primarily characterized by progressive cognitive impairment and synaptic...
The application of molecular laboratory methods to predict the expression of red blood cell antigens is well established in today's clinical transfusi...
Organoids, 3D in vitro structures derived from embryonic or adult stem cells, offer powerful models for studying tissue patterning, development, morph...
OBJECTIVE: The rapid development of artificial intelligence (AI) presents an opportunity to streamline the peer-review process and provide key informa...
A better understanding of weight trajectories in liver transplant (LT) recipients is essential to improving clinical outcomes. We utilized Generative ...
OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyr...
Advanced large language models with multimodal capabilities offer potential new applications in medical education. This study evaluated GPT-4o's perfo...
Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior of arterial wall tissue (AWT) is central to its in...
As a central pathological process in aging and chronic diseases, oxidative stress (OS) stems from redox imbalance and propagates cellular damage throu...
The mutual benefits of surface engineering and crystal engineering led to the discovery of a pharmaceutical cocrystal with balanced biopharmaceutical ...
The mechanisms underlying lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) remain elusive. This study integrated single-cell RNA seque...
Angiotensin-converting enzyme (ACE) is mainly categorized into ACE-1 and ACE-2, both of which play significant roles in human physiological balance an...