Transplantation

Using Histologic Image Analysis to Understand Biophysical Regulations of Epithelial Cell Morphology.

Epithelial mechanics and mechanobiology have become 2 important research fields in life sciences and...

Smart Sensor Control and Monitoring of an Automated Cell Expansion Process.

Immune therapy for cancer patients is a new and promising area that in the future may complement tra...

Research on augmented reality navigation of in vitro fenestration of stent-graft based on deep learning and virtual-real registration.

OBJECTIVES: fenestration of stent-graft (IVFS) demands high-precision navigation methods to achieve...

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.

Inflammation is a biological response to harmful stimuli, aiding in the maintenance of tissue homeos...

Comparison of vascular cell adhesion molecule 1 (VCAM-1) during pregnancy, after placental detachment and during puerperium between normal and pregnancy with COVID-19.

Pregnant women have a number of physiological changes that lower the immune responses to avoid embry...

Retracted: Artificial Intelligence Algorithm-Based CTA Imaging for Diagnosing Ischemic Type Biliary Lesions after Orthotopic Liver Transplantation.

[This retracts the article DOI: 10.1155/2022/3399892.].

Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.

OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material...

Improved assessment of donor liver steatosis using Banff consensus recommendations and deep learning algorithms.

BACKGROUND & AIMS: The Banff Liver Working Group recently published consensus recommendations for st...

Application technology for bioherbicides: challenges and opportunities with dry inoculum and liquid spray formulations.

Bioherbicides offer many potential benefits as part of an integrated weed management system or a tot...

Predicting Tacit Coordination Success Using Electroencephalogram Trajectories: The Impact of Task Difficulty.

In this study, we aim to develop a machine learning model to predict the level of coordination betwe...

A robust optimal control by grey wolf optimizer for underwater vehicle-manipulator system.

Underwater vehicle-manipulator system (UVMS) is a commonly used underwater operating equipment. Its ...

Organoid intelligence: Integration of organoid technology and artificial intelligence in the new era of in vitro models.

Organoid Intelligence ushers in a new era by seamlessly integrating cutting-edge organoid technology...

Should AI allocate livers for transplant? Public attitudes and ethical considerations.

BACKGROUND: Allocation of scarce organs for transplantation is ethically challenging. Artificial int...

Next-Generation Microfluidics for Biomedical Research and Healthcare Applications.

Microfluidic systems offer versatile biomedical tools and methods to enhance human convenience and h...

Artificial Intelligence and Deep Learning for Advancing PET Image Reconstruction: State-of-the-Art and Future Directions.

Positron emission tomography (PET) is vital for diagnosing diseases and monitoring treatments. Conve...

Artificial Intelligence-powered automatic volume calculation in medical images - available tools, performance and challenges for nuclear medicine.

Volumetry is crucial in oncology and endocrinology, for diagnosis, treatment planning, and evaluatin...

DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction.

Human leukocyte antigen (HLA) is closely involved in regulating the human immune system. Despite gre...

Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning Analysis.

Raman spectroscopy has emerged as a powerful tool in medical, biochemical, and biological research w...

Antibiotics, Sedatives, and Catecholamines Further Compromise Sepsis-Induced Immune Suppression in Peripheral Blood Mononuclear Cells.

OBJECTIVES: We hypothesized that the immunosuppressive effects associated with antibiotics, sedative...

A transformer-based deep learning approach for fairly predicting post-liver transplant risk factors.

Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There ar...

Comment on "Robotic surgery and liver transplantation: A single-center experience of 501 robotic donor hepatectomies".