AIMC Topic: Interferon-gamma

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IFNg_DeepKG: A Novel Model for Identifying Interferon-Gamma-Inducing Epitopes Using Knowledge Graph RAG in Biomedical Applications.

Journal of chemical information and modeling
The accurate and efficient computational identification of interferon-gamma-inducing epitopes (IFNgIE) is a critical bottleneck in the design of next-generation vaccines and immunotherapies. Existing computational models, while adept at learning sequ...

Dual-Chronoamperometry Drift Correction for Electrochemical Sensors.

ACS sensors
Accurate sensing of biomolecular targets is crucial for diagnosing diseases and developing technologies for personalized medicine. However, measuring biomarker levels with high precision is often challenging due to signal drift caused by biofouling a...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Nature communications
Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in only half of the patients. Relapse prediction at diagnosis could enable earlier introduction of immunosuppressants. We collected intestinal biopsies f...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...

A hybrid method for discovering interferon-gamma inducing peptides in human and mouse.

Scientific reports
Interferon-gamma (IFN-γ) is a versatile pleiotropic cytokine essential for both innate and adaptive immune responses. It exhibits both pro-inflammatory and anti-inflammatory properties, making it a promising therapeutic candidate for treating various...

Differential plasma cytokine variation following X-ray or proton brain irradiation using machine-learning approaches.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
PURPOSE: X-ray and proton irradiation have been reported to induce distinct modifications in cytokine expression in vitro and in vivo, suggesting a dissimilar inflammatory response between X-rays and protons. We aimed to investigate the differences i...

Multicolor-Assay-on-a-Chip Processed by Robotic Operation (MACpro) with Improved Diagnostic Accuracy for Field-Deployable Detection.

Analytical chemistry
The ability to deploy decentralized laboratories with autonomous and reliable disease diagnosis holds the potential to deliver accessible healthcare services for public safety. While microfluidic technologies provide precise manipulation of small flu...

Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.

Scientific reports
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high thr...

Evaluation of serum and salivary interferon-γ levels in patients with oral lichen planus: a systematic review and meta-analysis of case-control studies.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: Cytokines have regulatory and leading roles in the immunopathogenesis of oral lichen planus (OLP). Here, we present the findings of a meta-analysis that evaluated serum and salivary interferon-γ (IFN-γ) levels in patients with OLP compared...