Artificial Intelligence Medical Compendium

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

Showing 35,481 to 35,490 of 222,841 articles

Interpretable Deep Learning-Based Multi-Omics Integrationfor Prognosis in Hepatocellular Carcinoma

bioRxiv
Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality worldwide, yet existing prognostic models incompletely capture its molecular heterogeneity. We developed an interpretable, attention-based multi-branch deep learning framework for ... read more 

Fine scale structural information substantially improves multivariate regression model for mRNA in-vial degradation prediction

bioRxiv
The success of COVID-19 mRNA vaccines has made the in-solution stability optimization of mRNAs a key objective. However, we still lack a complete understanding of sequence metrics that influence mRNA in-solution stability. RNA secondary structure pla... 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 

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 

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 

Would You Like a Side of Artificial Intelligence With Your Mammogram? An Experimental Study of Patient Willingness to Pay for Artificial Intelligence.

Journal of the American College of Radiology : JACR
BACKGROUND: Some radiology practices ask patients to pay out of pocket for supplemental artificial intelligence (AI) interpretations of screening mammograms. PURPOSE: To determine if different price points and information conditions influence patient... 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 

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 

The diagnostic performance of machine learning based detection of urinary tract stones: a systematic review and meta-analysis.

European journal of radiology
BACKGROUND: Urolithiasis is a prevalent urological condition, and Non-Contrast Computed Tomography (NCCT) is the gold standard for diagnosis. In recent years, there has been growing interest in investigating machine learning (ML)- based detection of ... read more