Artificial Intelligence Medical Compendium

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

Showing 48,251 to 48,260 of 224,199 articles

Programmable DNA-Based Molecular Reservoir Biocomputing Network Circuits with Emerging Biomemristors for Solving Complex Nonlinear Problems.

ACS synthetic biology Feb 20, 2026
Biomolecular reservoir computing, despite its potential for nontraditional information processing, encounters difficulties in realizing intricate nonlinear dynamics within biochemical systems. This research proposes a biomolecular reservoir computing... read more 

Enhanced medical image segmentation using optimized bidirectional LSTM and dolphin partner optimizer.

PloS one Feb 20, 2026
Medical imaging has become a standard in diagnosing and treating how organs and tissues operate. In earlier systems, machine learning approaches were used for segmentation over a long period. Thus, processing and analyzing these medical images are hi... read more 

Carba-NAD binding activates SIR2 by reshaping conformational plasticity and rewiring long-range allosteric networks.

PLoS computational biology Feb 20, 2026
Allosteric regulation enables proteins to couple local structural changes to distal functional outcomes, yet the underlying mechanisms often remain difficult to fully decipher. Using yeast SIR2, an NAD ⁺ -dependent deacetylase, as a model system, thi... read more 

Molecular interplay of ASNS and the PI3K-AKT-mTOR pathway in CMV and HIV co-infections: Therapeutic implications.

PloS one Feb 20, 2026
CMV/HIV coinfection markedly exacerbates disease progression, elevates treatment failure risk, and worsens patient outcomes, yet the underlying molecular mechanisms remain incompletely understood-creating an urgent need for targeted host-focused rese... read more 

A hybrid CNN-spectral architecture for non-contact respiratory rate estimation using multi-region optical-flow analysis.

PloS one Feb 20, 2026
Respiratory rate (RR) is a key indicator for assessing health conditions, yet noncontact measurement remains challenging due to motion artifacts, lighting variability, and skin-tone differences. This study presents a robust framework combining a cust... read more 

Machine learning based classification of aggressive and malignant renal tumors from multimodal data.

PLOS digital health Feb 20, 2026
This study aimed to develop and evaluate a machine learning pipeline using multiphase contrast-enhanced CT images and clinical data to classify renal tumors as benign, malignant-indolent, or malignant-aggressive, while assessing the contribution of e... read more 

Generation of machine-learning derived cancer vulnerability indicator to determine the spatial burden of cancer outcomes.

PloS one Feb 20, 2026
BACKGROUND: Due to the difficulty of obtaining population-based individual-level data, ecological studies are often used to explore factors related to geographic variations in health outcomes. This study proposes a novel framework to identify area-le... read more 

Topologically distinct 2D and 3D intratumoral heterogeneity scores for preoperatively predicting invasiveness in stage I lung adenocarcinoma: A multicenter study.

PLOS digital health Feb 20, 2026
This multicenter study aims to enhance the preoperative prediction of pathological invasiveness in clinical stage I lung adenocarcinoma (LUAD) by developing and validating topologically distinct 2D and 3D intratumoral heterogeneity (ITH) scores deriv... read more 

A topological map of the genetic components of grapevine-Admixture meets SOMmelier machine learning.

PLoS computational biology Feb 20, 2026
Inferring the genetic structure at the subpopulation level is crucial for understanding the demographic histories that shape genetic diversity. Among the most widely used approaches are methods based on admixture and structure modeling-named after th... read more 

Applying team strategies for dynamic coordination: A comparative study of expertise using 3-on-3 basketball.

PloS one Feb 20, 2026
Humans working as a team can achieve higher performance. Studies in sports science, network science, and machine learning have extracted dynamic physical interaction structures of such coordination in team sports. However, the information processing,... read more 
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