Latest AI and machine learning research in psoriasis for healthcare professionals.
Analyses of brain sizes across mammalian taxonomic groups reveal a consistent pattern of covariation between major brain components, including a robust inverse relationship between the limbic system and the neocortex. To find the functional basis of this relationship, we mapped the multidimensional representations of task-optimized artificial neural networks onto two-dimensional surfaces resemblin...
BACKGROUND AND OBJECTIVES: Neighborhood disorder represents an environmental stressor that contributes to physiological wear and tear on the body, known as allostatic load. This study examines racial differences in the longitudinal associations between perceived neighborhood disorder and allostatic load among middle-aged and older adults. RESEARCH DESIGN AND METHODS: Utilizing a nationally represe...
Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma. Recent insights into the molecular c...
OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged hospitalization, chronic kidney disease, and increas...
Artificial intelligence (AI)-assisted workflows have transformed materials discovery, enabling rapid exploration of chemical spaces of functional mate...
BACKGROUND: Chronic pancreatitis (CP) is a progressive inflammatory disorder characterized by debilitating chronic pain and substantial healthcare bur...
Biologics is emerging as fastest growing field of drug development offering specificity and high therapeutic potential. However, their therapeutic eff...
BACKGROUND: Large language models (LLMs) could accelerate clinical literature searches, but their reliability is compromised by "hallucinations" gener...
Psoriasis is a chronic immune-mediated inflammatory skin disease characterized by dysregulated keratinocyte proliferation, immune cell infiltration, a...
Diffuse large B-cell lymphoma (DLBCL) features an immunosuppressive tumor microenvironment (TME), yet the molecular drivers connecting metabolic repro...
Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accu...
RATIONALE AND OBJECTIVES: Nasopharyngeal carcinoma (NPC) is characterized by a distinctive virologic and immunologic profile, in which Epstein-Barr vi...
Imaging after ischemic and hemorrhagic stroke may allow measurement of key phenotypes of injury and recovery for which targeted therapies are still la...
BACKGROUND: Rheumatoid arthritis (RA) is a systemic autoimmune inflammatory disorder. KLRB1 (killer cell lectin like receptor B1), which is intricatel...
Ulcerative colitis (UC), a chronic inflammatory bowel disorder characterized by progressive colonic inflammation, presents escalating global incidence...
This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. ...
Optical gas sensors based on photonic structures offer label-free, real-time detection with high sensitivity, but their design optimization remains co...
High-entropy alloys (HEAs) have emerged as promising candidates for solid-state hydrogen storage, yet the vast compositional space poses a major chall...
OBJECTIVE: To develop, externally validate, and simplify a machine-learning (ML) model to predict remission between six and 24 months in rheumatoid ar...
Inverse modeling of groundwater flow and transport in subsurface systems is fundamentally restricted by the conceptual-numerical gap, where translatin...