Artificial Intelligence Medical Compendium

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

Showing 50,411 to 50,420 of 224,814 articles

Incorporating Coulomb interactions with fixed charges in moment tensor potentials and equivariant tensor network potentials.

The Journal of chemical physics Feb 14, 2026
In this work, we incorporate long-range electrostatic interactions in the form of the Coulomb model with fixed charges into the functional form of short-range machine-learning interatomic potentials (MLIPs), particularly in the moment tensor potentia... read more 

The emerging role of machine learning-based methods in cancer classification using microRNA.

Biochemistry and biophysics reports Feb 14, 2026
Early detection and accurate classification of cancer are crucial to improving patient outcomes. Diagnosis and classification of tumors using conventional methods remains challenging. MicroRNAs (miRNAs) are potential biomarkers for accurate tumor cla... read more 

A novel few-shot meta-learning strategy for fault diagnosis of wastewater treatment process.

ISA transactions Feb 14, 2026
Challenges in diagnosing faults in wastewater treatment processes (WWTPs) arise from the limited availability of fault samples and the complexity of multidimensional time-series data with low information density. Current deep learning methods predomi... read more 

Carbon dots from Manila tamarind for heavy metal ion removal and sensing through automatic classification.

iScience Feb 14, 2026
Environmental remediation research has been focused on the detection and removal of heavy metal ions. In this work, Manila tamarind-derived simple and sustainable carbon dots (CDs) have been proposed for the optical detection/removal of heavy metal i... read more 

Artificial intelligence in combating challenges in antimicrobial resistance: a narrative review.

Infection prevention in practice Feb 14, 2026
Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective prevention and treatment of infections. It arises from increasing resistance rates, limited diagnostic capacity, inappropriate antimicrobial use, and a dec... read more 

metatensor and metatomic: Foundational libraries for interoperable atomistic machine learning.

The Journal of chemical physics Feb 14, 2026
Incorporation of machine learning (ML) techniques into atomic-scale modeling has proven to be an extremely effective strategy to improve the accuracy and reduce the computational cost of simulations. It also entails conceptual and practical challenge... read more 

Comparing dimensionality reduction methods for local structural identification in colloidal systems.

The Journal of chemical physics Feb 14, 2026
Quantifying local structures in self-assembled systems is a central challenge in soft matter and materials science. When no a priori knowledge of the relevant structures is available, traditional order parameters often fall short. Unsupervised machin... read more 

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole-Blood RNA Transcriptome.

Arthritis & rheumatology (Hoboken, N.J.) Feb 13, 2026
OBJECTIVE: Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes am... read more 

Bio-inspired design and neural network-enhanced control of a cable-driven shoulder mechanism.

Bioinspiration & biomimetics Feb 13, 2026
Given its complexity within the upper limb, the shoulder joint presents a major design challenge in the creation of humanoid robots, driving the need for bio-inspired mechanisms that achieve both dexterity and stability. This study deals with the bio... read more 

Computational modeling and optimization of scFv-based receptors to support CAR-T design targeting CD19 for enhanced binding robustness and reduced off-target propensity.

Biochemical and biophysical research communications Feb 13, 2026
Chimeric Antigen Receptor T-cell (CAR-T) therapy has revolutionized the treatment of B-cell malignancies, with CD19 being a primary target due to its stable expression in lymphomas. However, current CAR-T therapies face challenges related to antigen ... read more 
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