Transplantation

Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation.

Artificial intelligence (AI) is increasingly recognized as a transformative force in the field of solid organ transplantation. From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy, AI has the potential to improve both operational efficiency and patient outcomes. Despite these advancements, the perspectives of transplant professionals - those ...

ChatGPT in liver transplantation: Current applications, limitations, and future directions.

Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage liver disease. Despite the recent advances in LT several barriers, including organ allocation, donor-recipient matching, and patient education, persist. With the growing progress of artificial intelligence, particularly large language models (LLMs) like ChatGPT, new applications have emerged in the ...

Context-aware synthetic promoter design using neural networks enables rewiring of eukaryotic transcriptional networks.

Gene regulation through promoter engineering is a cornerstone of synthetic biology, enabling precise control over transcriptional networks. However, e...

Manufacturing-aware generative models enable petascale synthesis of designed DNA.

Generative modeling offers a robust framework for designing functional DNA, RNA and protein sequences. However, physical synthesis of these sequences ...

The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.

Metastasis remains the leading cause of cancer-related mortality. The concept of the pre-metastatic niche (PMN) has provided a new framework for under...

Machine learning for designing low-risk microbial consortia pesticides.

Microbial consortia, considered low-risk pesticides (LRPs), appear to be valuable tools for reducing our dependence on chemical pesticides. However, t...

Development and Validation of a Machine Learning-Based Nomogram for Predicting Severe Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients.

BACKGROUND Pneumocystis jirovecii pneumonia (PJP) is a life-threatening opportunistic infection in kidney transplant recipients (KTRs). Early identifi...

Immune checkpoint molecules beyond PD-1 and CTLA-4: emerging targets in autoimmune diseases and cancer immunotherapy.

BACKGROUND: Immune checkpoint molecules are pivotal regulators of immune activation and tolerance, playing critical roles in cancer, autoimmunity, inf...

A deep learning-based framework for patient-specific radiation dose prediction in beta-emitting radionuclide therapies.

OBJECTIVE: Conventional image-based models for radionuclide therapy dosimetry are typically radionuclide-specific and rely on nuclear medicine (NM) im...

Amniotic fluid metabolic biomarkers of fetal physiology and pregnancy success†.

Amniotic fluid (AF) profiling provides a minimally invasive window into early fetal physiology. We characterized the AF metabolome from first trimeste...

Comprehensive Multiomics Characterization of Perineural Invasion in Cervical Cancer Reveals Diagnostic Markers, Molecular Drivers, and Therapeutic Strategies.

UNLABELLED: Perineural invasion (PNI) is an important pathologic feature of cervical cancer that is associated with poor prognosis and provides key in...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppre...

Lipid Corona Formation on Iron Oxide Nanoparticles: Machine Learning-Based Identification of Causal Lipidomic Properties.

The adsorption of biomolecules onto nanoparticle (NP) surfaces, forming the so-called biocorona (BC), plays a crucial role in defining the biological ...

Machine Learning Prediction of Laccase-Catalyzed Oxidation of Aromatic Compounds Using Curated Enzyme-Specific Datasets.

Laccases are multi-copper oxidase enzymes that oxidize a wide range of aromatic and non-aromatic compounds using molecular oxygen, producing water as ...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gastric cancer surgery. However, to interpret causalit...

Systematic evaluation of single-cell multimodal data integration enhances cell type resolution and discovery of clinically relevant states in complex tissues.

BACKGROUND: The integration of multimodal single-cell data enables comprehensive organ reference atlases, yet its impact remains largely unexplored, p...

Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom.

To assess the robustness of risk scores provided by an artificial intelligence (AI) system for digital mammography (DM), when varying the exposure con...

Comparison between artificial intelligence-based and manual organ delineations in pretreatment computed tomography scans of prostate cancer patients: a visual grading study.

This study aimed to evaluate the clinical acceptability of artificial intelligence (AI)-based organ segmentations on pretreatment CT images of prostat...

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the specific immunosuppressive functions of N2-polari...

Genetic and clinical determinants of tacrolimus accumulation in early liver transplantation: evidence for a combined genotype-antibiotic effect.

BACKGROUND: Tacrolimus is a first-line immunosuppressant essential for preventing graft rejection after liver transplantation, but its narrow therapeu...