Artificial Intelligence Medical Compendium

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

Showing 50,161 to 50,170 of 224,814 articles

Advancements and challenges in CAR-NK cell therapy for cancer treatment.

Trends in biotechnology
Chimeric antigen receptor natural killer (CAR-NK) cell therapy is an emerging cancer treatment offering advantages over CAR-T therapy, including reduced risks of cytokine release syndrome and graft-versus-host disease. This review highlights how gene... read more 

DoBSeqWF: a framework for sensitive detection of individual genetic variation in pooled sequencing data.

NAR genomics and bioinformatics
Population screening for rare genetic diseases has the potential to increase early diagnosis and treatment, but the high cost of next-generation sequencing limits widespread implementation. Double-batched sequencing (DoBSeq) is a cost-effective metho... read more 

Cross-modal attention deep learning reveals how transformation products inherit life-cycle risks from parent antibiotics: Insights for environmental, ecological, health, and AMR risks.

Water research
The environmental, ecological, antimicrobial resistance (AMR), and human health risks of antibiotic transformation products (TPs) in aquatic environments-especially high-similarity transformation products (HSTPs) containing active groups of parent an... read more 

A comprehensive review on wine authentication and traceability: Current issues, solutions and future perspectives.

Food chemistry
Wine, as a commercially significant and globally consumed beverage, faces persistent challenges regarding authenticity verification and origin traceability, which threaten both consumer interests and market fairness. This paper comprehensively summar... read more 

Towards lightweight stress monitoring on biometric data for IoMT environments.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Stress is a physiological response mechanism that enables humans to react to perceived threats through a fight-or-flight response. While beneficial in acute situations, prolonged exposure to stress can lead to significant ph... read more 

A lightweight dual-channel feature fusion model for wheat variety identification in hyperspectral images.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
High-purity wheat varieties can ensure the quality of subsequent production. Hyperspectral images finely characterize the spectral properties of different substances through multi-band reflectance data and are widely used for non-destructive detectio... read more 

Green in-situ photoreduction synthesis of SERS substrates based on violet phosphorus arrays/silver nanoparticles for ultrasensitive detection and accurate identification of UTI bacteria.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Surface-enhanced Raman spectroscopy (SERS) holds significant promise for identifying urinary tract infection (UTI) pathogens due to its exceptional sensitivity and fingerprinting ability. However, traditional SERS substrates suffer from poor stabilit... read more 

Plasmonic SPR metamaterial sensor optimized via machine learning for sensitive organic chemical detection in wastewater.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The precise identification and assessment of organic chemical compounds from polluted water have become crucial for managing their environmental impact. Biosensors have numerous benefits, which include barely preparation of samples, quick assessment ... read more 

Analysis of passive bloodstain morphology across surface textures and drop heights using deep learning.

Forensic science international
Bloodstain pattern analysis (BPA) is a critical forensic science tool for reconstructing crime scene events. In this study, the effect of substrate type and drop height on the morphology of passive bloodstains was examined under controlled laboratory... read more 

The 487-gene expression profile test guides systemic therapy selection to improve outcomes for patients with atopic dermatitis: Results from a prospective trial.

Journal of the American Academy of Dermatology
BACKGROUND: Current atopic dermatitis (AD) therapy selection does not account for molecular drivers of disease, contributing to inadequate disease control for half of patients. OBJECTIVE: Develop and validate a gene expression profile (GEP) test to g... read more