Artificial Intelligence Medical Compendium

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

Showing 35,831 to 35,840 of 223,137 articles

CFlowAMP: Property controllable De Novo AMP design via integrating ESM-2 with conditional flow matching.

Journal of molecular graphics & modelling
The escalation of antimicrobial resistance (AMR) has become a major global public health threat, creating an urgent need for novel antimicrobial therapeutics. Antimicrobial peptides (AMPs), owing to their unique mechanisms of action and low propensit... read more 

AI‑guided design of 3D-printable gyroid spacers for scale‑resistant membrane distillation in sustainable water treatment.

Water research
Scaling of sparingly soluble salts remains a major barrier to deploying membrane distillation (MD) in sustainable water treatment. This work introduces an artificial intelligence (AI)-driven computational framework for designing scale-resistant feed ... read more 

Simultaneous analysis of miRNA and 16S rDNA by a multiplex droplet digital PCR system for body fluid source identification.

Forensic science international. Genetics
Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growing interest in more stable biomarkers like miRNA and microbial markers. While each has its limitatio... read more 

An error-compensated immersion and invariance adaptive estimator for hammerstein neural networks with binary-valued observations.

ISA transactions
Designing a parameter recovery algorithm using binary-valued observations that can handle the quantized identification problem of a nonlinear system is essential for various engineering processes including spectrum sensing to network communication, a... read more 

Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning.

iScience
Plague, caused by Yersinia pestis, persists as a public health threat, particularly in natural foci such as China's Inner Mongolia Autonomous Region. Understanding the distinct environmental drivers of pathogen transmission from wildlife reservoirs t... read more 

Development and validation of a nomogram for predicting advanced chronic kidney disease.

iScience
The objective of this study was to develop and validate a nomogram for predicting advanced chronic kidney disease (CKD) through the utilization of routine clinical parameters. To achieve this, we integrated internal and external datasets, employed LA... read more 

A robust multi-view support vector machine with the RoBoSS loss function.

Neural networks : the official journal of the International Neural Network Society
Multi-view learning capitalizes the multiple representations of data and integrates their heterogeneous information to improve the learning performance. Several support vector machine (SVM)-based multi-view models have been proposed and shown excelle... read more 

Machine learning-based risk classification of depressive symptoms among patients with hearing loss: evidence from the Health and Retirement Study (HRS).

Comprehensive psychoneuroendocrinology
BACKGROUND: Depression is a common and debilitating condition among individuals with hearing loss, substantially impairing patients' quality of life. This study aimed to develop a model to classify depressive symptoms among individuals with hearing l... read more 

Integrating experimental findings and machine learning models to predict the anticancer potential of newly synthesized oversulfated fucoidan.

Computational biology and chemistry
Developing effective cancer treatments requires identifying novel therapeutic agents with high biological activity. Fucoidan, a sulfated polysaccharide from brown algae, is a promising natural scaffold for anticancer drug development. In this study, ... read more 

Recalibrating the value of presence: A qualitative study on generative AI, attendance, and professional formation in undergraduate nursing.

Nurse education today
BACKGROUND: Generative AI (genAI) is now embedded in higher education, yet its implications for undergraduate nursing students' decisions to attend voluntary on-campus learning alongside mandatory Clinical Learning Environment (CLE) activities remain... read more