Artificial Intelligence Medical Compendium

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

Showing 41,951 to 41,960 of 223,853 articles

Deep roots through time and crops: insight from five seasons at DeepRootLab.

The New phytologist
Deep-rooted crops accessing water and nutrients from deep soil layers enhance the resource base for crop production. However, studying these roots in field conditions is labour-intensive, limiting research scope. We established a field root research ... read more 

Estimating cognitive function score from mild cognitive impairment to moderate dementia using a hybrid model combining plasma biomarkers with electroencephalogram signal.

Journal of Alzheimer's disease : JAD
BackgroundPredicting cognitive function across dementia stages remains challenging. Plasma biomarkers and electroencephalogram (EEG) features may provide complementary information, but their combined predictive value requires further study.ObjectiveT... read more 

Precisely Identifying Growth Phases of Living Bacteria using Open-Set Deep Learning-Driven Single-Cell Raman Spectroscopy.

Analytical chemistry
Owing to population cellular heterogeneity, it is still challenging to identify and determine the growth phases of spore-forming bacterial cells from a complex culture environment with a single-cell resolution. Knowledge of the physiological state of... read more 

Wearable Optical Fiber SERS Sensor Based on a Flexible "Hydrogel Tentacle" for Sweat Remote and In Situ Detection.

ACS sensors
Wearable surface-enhanced Raman spectroscopy (SERS) sensors can detect analytes in sweat containing interfering substances, but they face challenges in integrating sampling, sensing, and detection into a single system for remote in situ analysis. To ... read more 

Deep Learning Classification of Multicategory Voice Disorders Using Multi-Vowel Mel Spectrograms.

Ear, nose, & throat journal
BACKGROUND: Voice disorders caused by vocal fold lesions or mobility disorders are common, but current diagnosis depends on mildly invasive laryngoscopy. OBJECTIVE: To develop and validate a deep learning model for automatic classification of multipl... read more 

InChINet: a self-supervised molecular representation learning framework leveraging SMILES and InChI.

Physical chemistry chemical physics : PCCP
Molecular representation, as one of the fundamental challenges in artificial intelligence-driven drug discovery, has attracted increasing attention due to its low cost and impressive speed while it is applied in molecular property prediction, drug mo... read more 

SPIN: Inkjet-Driven Nanowell Workflow for Scalable and Sensitive Single-Cell Proteomics.

Analytical chemistry
Single-cell proteomics is emerging as a powerful approach to resolve cellular heterogeneity, yet sample processing remains challenging due to limited input material and the absence of protein amplification. We present a protocol centered on an image-... read more 

Acid-Base Status During Venoarterial Extracorporeal Membrane Oxygenator Support in Patients With Cardiogenic Shock.

Journal of the American Heart Association
BACKGROUND: The prognostic significance of an adverse acid-base milieu despite venoarterial extracorporeal membrane oxygenation support in patients with cardiogenic shock remains poorly defined. We examined metabolic and respiratory disturbances in t... read more 

Overview of combined adjuvant strategies for tumor biomarker detection.

Tumori
Cancer is one of the leading causes of death worldwide, and early tumor detection can significantly reduce mortality rates. Liquid biopsy is a minimally invasive, repeatable method with a high economic benefit ratio, and it shows excellent prospects ... read more 

Evaluating the performance of a custom GPT in full text screening of a systematic review.

Scandinavian journal of public health
AIM: Systematic reviewing is a time-consuming process that can be aided by artificial intelligence (AI). There are several AI options to assist with title/abstract screening, however options for full text screening are limited. The objective of this ... read more