Transplantation

Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows

The integration of reduced-order models (ROMs) with high-performance computing (HPC) is critical f...

VQ-DeepVSC: A Dual-Stage Vector Quantization Framework for Video Semantic Communication

In response to the rapid growth of global videomtraffic and the limitations of traditional wireles...

NeoaPred: a deep-learning framework for predicting immunogenic neoantigen based on surface and structural features of peptide-human leukocyte antigen complexes.

MOTIVATION: Neoantigens, derived from somatic mutations in cancer cells, can elicit anti-tumor immun...

From organs to algorithms: Redefining cancer classification in the age of artificial intelligence.

Traditional cancer classification based on organ of origin and histology is increasingly at odds wit...

Identification of novel M2 macrophage-related molecule ATP6V1E1 and its biological role in hepatocellular carcinoma based on machine learning algorithms.

Hepatocellular carcinoma (HCC) remains the most prevalent form of primary liver cancer, characterize...

Automatic Tumor Cellularity Measurement: AI-Based Pipeline for Multi-Organ Pathology Imaging.

Tumor Cellularity (TC) is an important metric for assessing organ tumor burden. However, manual cell...

In-Memory Computing Architecture for Efficient Hardware Security

This paper presents an innovative approach utilizing in-memory computing (IMC) for the development...

Standard compliant video coding using low complexity, switchable neural wrappers

The proliferation of high resolution videos posts great storage and bandwidth pressure on cloud vi...

Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.

BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing ...

Multicenter integration analysis of TRP channels revealed potential mechanisms of immunosuppressive microenvironment activation and identified a machine learning-derived signature for improving outcomes in gliomas.

AIM: This study aimed to explore the mechanisms of transient receptor potential (TRP) channels on th...

Artificial intelligence for forecasting live donor kidney function.

Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.

Organ procurement organizations (OPOs) play a crucial role in the field of organ transplantation, se...

C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading.

Graph-based learning approaches, due to their ability to encode tissue/organ structure information, ...

Visualization of Surgical Needle Tips Hidden Inside Organs Using Generative Adversarial Networks.

Postoperative complications in surgery are particularly prevalent in laparoscopic procedures, which ...

Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention

YOLOv8 plays a crucial role in the realm of autonomous driving, owing to its high-speed target det...

ConnectVR: A Trigger-Action Interface for Creating Agent-based Interactive VR Stories

The demand for interactive narratives is growing with increasing popularity of VR and video gaming...

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation

As the demand for more personalized recommendation grows and a dramatic boom in commercial scenari...

Design optimization of geometrically confined cardiac organoids enabled by machine learning techniques.

Stem cell organoids are powerful models for studying organ development, disease modeling, drug scree...

An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method

For one to guarantee higher-quality software development processes, risk management is essential. ...

Quantification of follicles in human ovarian tissue using image processing software and trained artificial intelligence†.

Cancer survival rates in prepubertal girls and young women have risen in recent decades due to incre...

Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes

Cancer clinics capture disease data at various scales, from genetic to organ level. Current bioinf...