Artificial Intelligence Medical Compendium

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

Showing 40,921 to 40,930 of 223,737 articles

Correction: Mechanism of RGD-conjugated nanodevice binding to its target protein integrin αVβ3 by atomistic molecular dynamics and machine learning.

Nanoscale
Correction for 'Mechanism of RGD-conjugated nanodevice binding to its target protein integrin αVβ3 by atomistic molecular dynamics and machine learning' by Giulia Frigerio et al., Nanoscale, 2024, 16, 4063-4081, https://doi.org/10.1039/D3NR05123D. read more 

Immune checkpoint molecules beyond PD-1 and CTLA-4: emerging targets in autoimmune diseases and cancer immunotherapy.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
BACKGROUND: Immune checkpoint molecules are pivotal regulators of immune activation and tolerance, playing critical roles in cancer, autoimmunity, infectious diseases, and transplantation. While programmed cell death protein 1 (PD-1) and cytotoxic T-... read more 

Data-Driven Phenotypic Clusters of Gestational Diabetes Mellitus and Associations With Risk of Perinatal Complications and Postpartum Diabetes.

Diabetes care
OBJECTIVE: Management of gestational diabetes mellitus (GDM) largely follows a uniform approach, despite growing recognition of GDM heterogeneity. We aimed to identify data-driven GDM clusters by using machine learning techniques and clinical data an... read more 

Comprehensive immunological and molecular analysis revealed inflammation-related diagnostic signatures in chronic rhinosinusitis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
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Integrated Radiomics-Enhanced machine learning models for accurate diagnosis and prediction of oGVHD-Related ocular complications.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
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Unsupervised clustering analysis unravels the role of systemic inflammatory indices in the prognosis of patients with locally advanced cervical cancer treated with chemoradiation.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
BACKGROUND AND PURPOSE: This study aimed to predict the treatment outcomes and survival of patients with locally advanced cervical cancer (LACC) receiving chemoradiotherapy (CRT) using an unsupervised clustering machine learning method. MATERIALS AND... read more 

Catalytic tango in diatomic catalysts: from precision-guided pair construction to machine-learning-driven identification and design.

Nanoscale
Diatomic catalysts (DACs) are composed of two neighboring metal centers, each stabilized by its own coordination environment, that extend single-atom precision into a cooperative two-site manifold. By programmably tuning composition, geometry, and lo... read more