Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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An effective deep learning-based approach for splice site identification in gene expression.

A crucial stage in eukaryote gene expression involves mRNA splicing by a protein assembly known as t...

DeepHLApan: A Deep Learning Approach for the Prediction of Peptide-HLA Binding and Immunogenicity.

Neoantigens are crucial in distinguishing cancer cells from normal ones and play a significant role ...

Deep Learning-Based HLA Allele Imputation Applicable to GWAS.

Human leukocyte antigen (HLA) imputation is an essential step following genome-wide association stud...

Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals.

Cell tracking is an essential step in extracting cellular signals from moving cells, which is vital ...

Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm.

PURPOSE: This study aims to propose and develop a fast, accurate, and robust prediction method of pa...

3D-Bioprinting and AI-empowered Anatomical Structure Designing: A Review.

BACKGROUND: The recent advancements and detailed studies in the field of 3D bioprinting have made it...

Deep Learning-Assisted Analysis of Immunopeptidomics Data.

Liquid chromatography-coupled mass spectrometry (LC-MS/MS) is the primary method to obtain direct ev...

The changes in bladder function and symptoms after robot-assisted sacrocolpopexy and transvaginal mesh surgery for pelvic organ prolapse.

OBJECTIVE: This study is aimed to compare the impact on bladder function and symptoms between roboti...

Automated evaluation with deep learning of total interstitial inflammation and peritubular capillaritis on kidney biopsies.

BACKGROUND: Interstitial inflammation and peritubular capillaritis are observed in many diseases on ...

Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity.

Immunologic recognition of peptide antigens bound to class I major histocompatibility complex (MHC) ...

Efficacy of Pulse Methylprednisolone in Treatment of Acute Respiratory Distress Syndrome due to Malaria: A Randomized Controlled Clinical Trial.

: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...

[Robot-assisted left-side partial nephrectomy with a segmental resection of left lower ureter and Boari reconstruction].

Renal cell carcinoma (RCC) accounts for more than 90% of cases of malignant kidney tumors and repres...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

Toward a general neural network force field for protein simulations: Refining the intramolecular interaction in protein.

Molecular dynamics (MD) is an extremely powerful, highly effective, and widely used approach to unde...

Clinical efficacy of modified sacral fixation under Leonardo da Vinci robot laparoscopy for pelvic organ prolapse.

OBJECTIVE: The aim of this study was to analyze the clinical efficacy of modified sacral fixation un...

[Experience in performing robot-assisted radical prostatectomy in patients after heart transplan- tation].

INTRODUCTION: Prostate cancer (PCa) occupies a leading position in the structure of oncological morb...

Artificial intelligence, machine learning, and deep learning in liver transplantation.

Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. ...

[Research on Life Cycle Management of Medical Consumables Based on Hospital Resource Planning System].

OBJECTIVE: In order to improve the compatibility of the hospital resource planning (HRP) system for ...

Chylous Ascites After Robot-Assisted Laparoscopic Donor Nephrectomy: Is Early Surgical Intervention Necessary?

OBJECTIVES: Chylous ascites is a rare complication that may occur after living donor nephrectomy. Th...

Deep Learning Using Preoperative AS-OCT Predicts Graft Detachment in DMEK.

PURPOSE: To evaluate a novel deep learning algorithm to distinguish between eyes that may or may not...

Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASH.

Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease globally and a leading ...

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