Latest AI and machine learning research in psoriasis for healthcare professionals.
BACKGROUND: Relapse of psoriasis after the cessation of treatment remains an unresolved clinical challenge. OBJECTIVE: To identify predictors of risk of relapse in patients with psoriasis treated by interleukin (IL) 17 blockade (ixekizumab) and to investigate longitudinal dynamics driving relapse. METHODS: Longitudinal skin transcriptomes were collected from 23 patients across baseline, psoriasis ...
Diffusion models have become a successful approach for solving various image inverse problems by providing a powerful diffusion prior. Many studies have tried to combine the measurement into diffusion by score function replacement, matrix decomposition, or optimization algorithms, but it is hard to balance data consistency and realness. The slow sampling speed is also a main obstacle to its wide a...
INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecu...
BACKGROUND: Anxiety is a highly prevalent mental disorder linked to metabolic and renal dysregulation. Blood urea nitrogen (BUN) and lipid profiles ha...
PURPOSE OF REVIEW: Sinonasal mucus biomarkers have emerged as a powerful, noninvasive tool to better understand the immunopathology of chronic rhinosi...
This work proposes a black-box purely data-driven strategy for structural damage identification concerning localized damaged regions in plate-like str...
Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, its etiolo...
BACKGROUND: Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the underlying metabolic mechanisms remain unclear. O...
INTRODUCTION: Retinoic acid receptor-related orphan receptor gamma t (RORĪ³t) is a crucial transcription factor regulating Th17 cells, which secrete th...
Residual host cell proteins (HCPs) in biologic drug products can compromise safety or stability and must be carefully monitored. While traditional imm...
OBJECTIVE: To determine the effectiveness and cost-effectiveness of multi-gene panel sequencing compared to single-gene KRAS testing for metastatic co...
Machine learning has emerged as a powerful tool for the inverse design of various device structures including metamaterials and multilayer coatings. T...
Neural networks have emerged as an effective method for inverse design of metasurfaces. Despite significant progress in inverse design for photonic st...
Beam orientation optimization (BOO) in intensity-modulated radiation therapy (IMRT) is a complex, non-convex problem traditionally addressed with heur...
Due to their similar clinical presentations, the scarcity of competent dermatologists, and the urgency of diagnosis, the accurate diagnosis of dermato...
Approximately 40% of patients with rheumatoid arthritis do not respond to individual biologic therapies, while biomarkers predictive of treatment resp...
Precision nutrition utilizes an individualized approach in which dietary interventions are tailored according to patients' genetic, biologic, and envi...
Pancreatic cancer (PC), often referred to as the "king of cancers", has demonstrated limited success with immunotherapies, many of which are still und...
Tumor suppressor genes (TSGs) are critical regulators of cellular homeostasis and are extensively studied in cancer biology. However, their roles in n...
INTRODUCTION: Choosing the right biologic for the right patient is challenging. It requires evaluating patient characteristics and disease manifestati...