Latest AI and machine learning research in transplantation for healthcare professionals.
We developed SwiftMHC, an ultra-fast and accurate structure-based framework for peptide-MHC (pMHC) modeling and binding affinity prediction. Using task-specific deep learning trained on physics-derived synthetic data, SwiftMHC predicts pMHC binding affinities in 0.009 s per case on a single A100 GPU when running in batch mode, offering improved speed compared with leading sequence-based tools such...
BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tailor treatment, failure risks must be accurately predicted. We are trying to predict the temporal progression of graft function (as treated with estimated glomerular filtration rate) using only pre- and post-transplantation data to develop a model that could be used clinically to help patient managem...
Mitochondrial diseases (MDs) consist of a heterogeneous spectrum of disorders resulting from mutations in either nuclear or mitochondrial DNA, disrupt...
Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver condition globally, shifting the diagnost...
BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of...
The growing complexity of modern molecular simulations calls for new frameworks that unify physical modeling, machine learning, and human-AI interacti...
PURPOSE: The general population is at risk of exposure to ionizing radiation due to nuclear warfare, terrorism, or radiological accidents. Such exposu...
In 2026, we are sending probes to Mars, mining metals from asteroids, and debating whether artificial intelligence should write our operative notes, y...
Although cancer immunotherapy has revolutionized oncology, its clinical efficacy remains substantially limited by both primary and acquired resistance...
IMPORTANCE: While growing evidence implicates synaptic dysfunction as a key pathophysiological mechanism in cognitive impairments in schizophrenia (SC...
Septic shock (SS), the most severe stage of sepsis, has a high mortality rate. Mitochondria-mediated programmed cell death (MPCD) plays a key role in ...
INTRODUCTION: Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. ...
BACKGROUND: Sepsis remains a leading cause of childhood mortality worldwide. Most deaths occur within the first few days of presentation, underscoring...
BACKGROUND: Immuno-inflammation and systemic alterations are key features of chronic diseases. While PET molecular imaging is widely used in precision...
Large scale sequencing efforts have defined up to 27 diagnostic entities in B-ALL, leaving few samples without subtype assignment. Extended genomic an...
Studies of human social behavior indicate stronger social affinity in matched-neurotype dyads (e.g., two individuals with autism or two without) compa...
BACKGROUND: Narcolepsy type 1 (NT1) is characterized by sleepiness, disturbed sleep, and cataplexy-episodes of sudden muscle tone loss triggered by em...
Transoral laser microsurgery (TOLMS) is an established organ-preserving treatment for early-stage and selected intermediate-stage laryngeal squamous c...
Glioblastoma (GBM) is the most common malignant intracranial tumor in adults, with a median survival of only 16-20 months. Neoantigen therapy has show...
INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decisio...