Latest AI and machine learning research in transplantation for healthcare professionals.
The Italian National Congress of Imaging in Pulmonology, held in Milan on November 21st, provided a unique educational platform exploring the evolving role of thoracic imaging in respiratory medicine. Organized by the Italian Respiratory Society (SIP-IRS) Imaging Study Group, the congress brought together over 160 participants, including pulmonologists, radiologists, interventional specialists, an...
Glioblastoma (GB), the most aggressive primary brain tumor, is characterized by profound inter- and intratumoral heterogeneity and a highly immunosuppressive tumor microenvironment (TME), both of which contribute to its poor prognosis and resistance to conventional therapies. The dynamic interplay between malignant cells and diverse TME constituents including immune cells, neural elements, and ext...
Cardiovascular disease (CVD) remains the leading cause of mortality worldwide despite major advances in pharmacotherapy. Emerging evidence reveals a p...
Therapeutic resistance remains the principal barrier to durable clinical benefit in oncology, particularly in oncogene-driven malignancies and immune-...
Time-of-flight (ToF) in PET improves image quality by enhancing the signal-to-noise ratio, and recent deep learning (DL)-based ToF (DL-ToF) methods fu...
The lymphatic system-integral to fluid balance, immune surveillance, and lipid absorption-is frequently overlooked despite its vital roles. Traditiona...
Proteins in complex with small-molecule ligands represent the core of structure-based drug discovery. However, three-dimensional representations are a...
Electroencephalography (EEG)-based brain computer interface (BCI) systems hold significant promise across diverse applications; however, their perform...
Urosepsis is a severe complication of urinary tract infection (UTI) and may lead to organ dysfunction and death. Early identification remains challeng...
Cell-free DNA in blood originates from fragmented chromatin released by dying cells from both healthy and diseased tissues1,2. These fragments carry r...
The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in cardiovascular disease (CVD) is hindered by a vast an...
Despite the increasing recognition of pyroptosis, particularly that involving GSDME, its precise impact on tumor prognosis and the immune microenviron...
BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by which specific metabolic pathways drive prostate cance...
We developed a novel, explainable artificial intelligence (AI)-driven prognostic model using a contemporary single-centre cohort of 668 patients under...
Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral microenvironment interactions playing a critical role...
BACKGROUND: Pathological reports provide comprehensive insights into the clinical and pathological features of different cancer types. However, extrac...
UNLABELLED: Multiplexed imaging of tissues is an approach that holds promise for improving early detection, diagnosis, and treatment of cancer. In thi...
The use of deep-learning (DL) models to support and automate medical imaging diagnostic procedures has become an ongoing focus of research and develop...
OBJECTIVE: To test whether an AI-assisted, dual-template workflow improves plan-delivery accuracy in tooth autotransplantation versus a replica-only f...
Computed tomography (CT) is routinely used in diagnosing and managing patients with chronic lung diseases such as chronic obstructive pulmonary diseas...