Publications by authors named "Kun-Feng Liu"
Background: The peritumoral region possesses attributes that promote cancer growth and progression. However, the potential prognostic biomarkers in this region remain relatively underexplored in radiomics.
Aim: To investigate the prognostic value and importance of peritumoral radiomics in locally advanced rectal cancer (LARC).
Objectives: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (SSPNs).
Methods: Routine CT images of 550 patients with SSPNs were retrospectively obtained from two centers. A convolutional neural network was used to extract deep learning features from all lesions.
Article Synopsis
- Type 1 diabetes mellitus (T1DM) is an autoimmune disease where the immune system attacks insulin-producing cells, leading to a lack of insulin.
- This study explores the use of a safe bacteria, Lactococcus lactis, to deliver specific proteins (HSP65-6IA2P2) to the gut as a treatment method for T1DM.
- Results show that this oral treatment can prevent high blood sugar levels and improve immune responses in diabetic mice, suggesting that it could be an effective strategy for T1DM prevention.
Atrazine molecular imprinted polymers (MIPs) were comparatively synthesized using identical polymer formulation by far-infrared (FIR) radiation and ultraviolet (UV)-induced polymerization, respectively. Equilibrium binding experiments were carried out with the prepared MIPs; the results showed that MIP(uv) possessed specific binding to atrazine compared with their MIP(FIR) radiation counterparts. Scatchard plot's of both MIPs indicated that the affinities of the binding sites in MIPs are heterogeneous and can be approximated by two dissociation-constants corresponding to the high- and low-affinity binding sites.
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