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
Inflammation research : official journal of the European Histamine Research Society ... [et al.]
Mar 17, 2026
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
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
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Mar 17, 2026
Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
Mar 17, 2026
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
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
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