Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 66,281 to 66,290 of 232,447 articles

Establishing a combined rational design protocol for the discovery of novel peptide binders of FGF7.

Molecular diversity
Designing peptide binders is a widely used strategy for developing potential therapeutic agents. Fibroblast Growth Factor 7 (FGF7) plays a critical role in cell proliferation and tissue repair, and its dysregulation is associated with various disease... read more 

Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: This study introduces the liver cancer segmentator (LCS), a deep learning model designed for automatic and robust segmentation of liver parenchyma and tumors in abdominal contrast-enhanced computed tomography images from pat... read more 

Metabolomic insights into fish osmoregulation: Unveiling adaptive mechanisms to salinity change.

Comparative biochemistry and physiology. Part D, Genomics & proteomics
Salinity fluctuation is a major environmental driver influencing fish physiology and aquaculture performance. Metabolomics offers a systems perspective on the small molecule networks underlying osmoregulation. This review synthesizes studies across f... read more 

Defect-parameterized physics-informed neural network for forward and inverse modeling of laser ultrasonic wavefield.

Ultrasonics
Accurate and efficient non-destructive evaluation (NDE) techniques are essential for ensuring the structural integrity of metallic components, where surface defects, as one of the most common types, can severely compromise fatigue life and mechanical... read more 

AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.

iScience
This review examines the emerging integration of nanosensor networks with modern information and communication technologies to address critical needs in healthcare, environmental monitoring, and smart infrastructure. It evaluates how machine learning... read more 

MATLAB-simulated dataset for automatic modulation classification in wireless fading channels.

Data in brief
Accurate modulation classification is a core challenge in cognitive radio, adaptive communications, spectrum analysis and related domains especially under dynamic channels without transmitter knowledge. To address this need, the article presents a la... read more 

Dataset of ultrasonic frequency - domain signals and machine - learning outputs for parameterising lithium - ion battery electrodes' coating and calendering processes.

Data in brief
Inline, non - destructive diagnostics are essential for controlling electrode quality in roll - to - roll battery manufacturing to minimise the cost and wasting valuable minerals. Ultrasonic pulse - echo is sensitive to thickness, density, and porosi... read more 

Computer-Aided optimization of quinazoline-based Aurora kinase inhibitors for enhanced metabolic stability.

European journal of medicinal chemistry
The quinazoline-based Aurora kinase inhibitor 9h, previously developed by our group, exhibited potent efficacy both in vitro and in vivo. However, its further development was hindered by a short half-life and insufficient metabolic stability. To addr... read more 

A machine learning-driven app for predicting the need for post-operative respiratory support in liver transplant recipients.

International journal of medical informatics
BACKGROUNDS: Liver transplantation (LT) is a life-saving procedure for patients with end-stage liver disease, yet post-operative complications, particularly the need for respiratory support, remain a significant challenge. We aimed to develop and val... read more 

Deep learning image reconstruction improves 40 keV virtual monoenergetic image quality in rectal cancer.

European journal of radiology
BACKGROUND: Accurate preoperative evaluation of rectal cancer is essential for staging and treatment planning. Low-energy virtual monoenergetic imaging (VMI) enhances iodine contrast in dual-energy computed tomography (DECT) but increases image noise... read more