Publications by authors named "A A LAZZARINI"
Background: Noninvasive treatment with a 1064 nm diode laser, generating hypodermal temperatures between 42 and 47 °C, induces adipocyte cell death, offering a solution to reduce fat in problematic areas.
Objectives: The objective of the authors of this study is to determine whether a 15 min treatment provides similar efficacy as the standard 25 min treatment.
Methods: Pigs underwent a 15 or 25 min 1064 nm laser treatment on 6 × 6 cm areas of abdominal skin.
Article Synopsis
- * Whole exome sequencing (WES) on family members revealed a specific mutation (c.195del/p.(Thr66ProfsTer55)) that linked with affected individuals, along with two additional variants in SSX1 and USP27X genes.
- * RNA sequencing showed 14 differentially expressed genes related to neurological disorders in the affected males, reinforcing the connection between the DLG3 mutation and the observed clinical issues in the family.
Background: Soft tissue and cutaneous tension is an important contributor to complicated wound healing and poor scar cosmesis after surgery and its mitigation is a key consideration in aesthetic and reconstructive procedures.
Objectives: The study objective was to assess the efficacy of the force modulating tissue bridge (FMTB) ("Brijjit", Brijjit Medical Inc., Atlanta, GA) in reducing mechanical tension on postoperative wounds.
Article Synopsis
- This study focuses on the effectiveness of a nonablative 1927 nm thulium laser (MOXI™) for treating facial actinic irregularities caused by factors like aging and UV exposure, noting its benefits in resurfacing skin and reducing pigmentation issues without worsening the condition.
- It involved 27 patients (Fitzpatrick Skin Types I-IV) who received two treatments spaced a month apart, with the main goal of evaluating the laser's impact on pigment response using specialized imaging and clinical assessments.
- Results showed a positive response in pigment reduction, indicating that this laser treatment is promising for improving skin appearance in individuals with irregular pigmentation.
Motivation: Recently, several computational modeling approaches, such as agent-based models, have been applied to study the interaction dynamics between immune and tumor cells in human cancer. However, each tumor is characterized by a specific and unique tumor microenvironment, emphasizing the need for specialized and personalized studies of each cancer scenario.
Results: We present MAST, a hybrid Multi-Agent Spatio-Temporal model which can be informed using a data-driven approach to simulate unique tumor subtypes and tumor-immune dynamics starting from high-throughput sequencing data.