Assessing Patient Health Dynamics by Comparative CT Analysis: An Automatic Approach to Organ and Body Feature Evaluation.

The integration of machine learning into the domain of radiomics has revolutionized the approach to personalized medicine, particularly in oncology. Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-series CT volumes. RadTA is designed to bridge a technical gap for medical experts and enable sophisticated radiomic analyses without deep learning expertise.

Line-field confocal optical coherence tomography in lichen planopilaris and frontal fibrosing alopecia: A pilot study.

Background And Objectives: Lichen planopilaris (LPP) and frontal fibrosing alopecia (FFA) are common causes of cicatricial alopecia. While several studies have demonstrated the usefulness of non-invasive imaging methods such as reflectance confocal microscopy (RCM) and optical coherence tomography (OCT) for the diagnosis of scarring alopecia, this study aimed to identify characteristic features of cicatricial alopecia in LPP/FFA using line-field confocal OCT (LC-OCT).

Patients And Methods: Fifty-one patients (26 LPP, 24 FFA, 1 LPP and FFA) were prospectively analyzed with LC-OCT at three defined locations on the scalp: (1) scarring area = lesion, (2) scar-hair boundary = transition zone and (3) healthy area for the presence of the following pre-defined criteria: no hair follicles left, destructed hair follicles, dermal sclerosis, no rimming of the dermal papillae, epidermal and dermal inflammatory infiltrate, infundibular hyperkeratosis, dilated blood vessels, hypervascularization, melanophages, epidermal pigment incontinence.

Did industrial and export complexity drive regional economic growth in Brazil?

Research on productive structures has shown that economic complexity conditions economic growth. However, little is known about which type of complexity, e.g.

Incretin-responsive human pancreatic adipose tissue organoids: A functional model for fatty pancreas research.

Objective: Infiltration of adipocytes into the pancreatic parenchyma has been linked to impaired insulin secretion in individuals with increased genetic risk of T2D and prediabetic conditions. However, the study of this ectopic fat depot has been limited by the lack of suitable in vitro models.

Methods: Here, we developed a novel 3D model of functionally mature human pancreatic adipose tissue organoids by aggregating human pancreatic adipose tissue-derived stromal vascular fraction (SVF) cells into organoids and differentiating them over 19 days.