AI Medical Compendium

Digital Twin Technology In Radiology.

Journal of imaging informatics in medicine Aug 4, 2025

A digital twin is a computational model that provides a virtual representation of a specific physical object, system, or process and predicts its behavior at future time points. These simulation models form computational profiles for new diagnosis an... read more

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip Aug 4, 2025

This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more

Protecting Feature Privacy in Person Re-identification.

IEEE transactions on pattern analysis and machine intelligence Aug 4, 2025

Person re-identification (ReID) is to identify the same person across non-overlapping camera views. After a decade of development, the methods based on deep networks have achieved high performance on benchmarks and become mainstream. In applications,... read more

Accurate and Rapid Ranking of Protein-Ligand Binding Affinities Using Density Matrix Fragmentation and Physics-Informed Machine Learning Dispersion Potentials.

Chemphyschem : a European journal of chemical physics and physical chemistry Aug 4, 2025

The generalized many-body expansion for building density matrices (GMBE-DM), truncated at the one-body level and combined with a purification scheme, is applied to rank protein-ligand binding affinities across two cyclin-dependent kinase 2 (CDK2) dat... read more

Resilience as a mediator in the relationship between ambidextrous leadership and nurses' positive attitudes towards artificial intelligence.

BMC nursing Aug 4, 2025

BACKGROUND: Leadership plays a pivotal role in adopting new trends within the nursing domain. Yet, the impact of ambidextrous leadership on nurses' positive attitudes towards artificial intelligence is not well understood. Furthermore, the underlying... read more

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Bioscience trends Aug 4, 2025

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistently high. Treatment methods for hepatobiliary tumors include surgical intervention, ablation, embolization, and pharmacological treatments, with surger... read more

Artificial intelligence-based donor oocyte quality assessment moderately improves the prediction of blastocyst development: a first step towards higher personalization in the management of egg donation treatments.

Human reproduction (Oxford, England) Aug 4, 2025

STUDY QUESTION: Can an artificial intelligence (AI)-based oocyte scoring system reliably predict the developmental competence of fresh donor oocytes? read more

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Aug 4, 2025

BACKGROUND: The Cancer Screening Research Network (CSRN) is a new clinical trials network funded by the National Cancer Institute. The first CSRN study, the Vanguard Study, will assess the feasibility of using multi-cancer detection (MCD) tests in fu... read more

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

Journal of imaging informatics in medicine Aug 4, 2025

The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits the development of robust deep learning (DL) models for breast tumor segmentation. In this exploratory proof-of-concept study, we assess the viability... read more

Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BMC biology Aug 4, 2025

BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug targets and understanding cellular processes. The rapid growth of PPI studies necessitates the development of efficient and accurate tools for automated... read more

Deep Learning Computational Biology Protein Interaction Mapping

Artificial Intelligence Medical Compendium