Shanthi Narla

ORCID: 0000-0003-0228-3262
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About
Contact & Profiles
Research Areas
  • Dermatology and Skin Diseases
  • Allergic Rhinitis and Sensitization
  • Hidradenitis Suppurativa and Treatments
  • Infection Control and Ventilation
  • Food Allergy and Anaphylaxis Research
  • COVID-19 and healthcare impacts
  • Urticaria and Related Conditions
  • Colorectal and Anal Carcinomas
  • Autoimmune Bullous Skin Diseases
  • Anorectal Disease Treatments and Outcomes
  • Skin Protection and Aging
  • Autoimmune and Inflammatory Disorders
  • Infection Control in Healthcare
  • melanin and skin pigmentation
  • Chemotherapy-related skin toxicity
  • Contact Dermatitis and Allergies
  • IoT and Edge/Fog Computing
  • SARS-CoV-2 and COVID-19 Research
  • Diverticular Disease and Complications
  • Genetic and rare skin diseases.
  • Internet of Things and AI
  • COVID-19 impact on air quality
  • Hemostasis and retained surgical items
  • Cancer and Skin Lesions
  • IL-33, ST2, and ILC Pathways

Medical College of Wisconsin
2024-2025

St. Luke's University Health Network
2020-2024

Henry Ford Health System
2019-2023

Easton Hospital
2021

St. Luke's Hospital
2021

Henry Ford Hospital
2019-2020

University of Illinois Chicago
2019

Northwestern University
2017-2018

Agency for Healthcare Research and Quality
2017

Dermatology Foundation
2017

10.1039/c9pp00366e article EN Photochemical & Photobiological Sciences 2019-11-22

10.1007/s00403-022-02507-z article EN Archives of Dermatological Research 2022-12-12

There are currently no studies that have examined whether one dosage can be uniformly applied to different respirator types effectively decontaminate SARS-CoV-2 on N95 filtering facepiece respirators (FFRs). Health care workers been using this disinfection method during the pandemic. Our objective was determine effect of UVC inoculated and material/model type dependent.Four locations (facepiece strap) five FFR models (3M 1860, 8210, 8511, 9211; Moldex 1511) were with a 10 μL drop viral stock...

10.1016/j.ijid.2020.08.077 article EN cc-by-nc-nd International Journal of Infectious Diseases 2020-09-03

10.1016/j.jid.2017.02.975 article EN publisher-specific-oa Journal of Investigative Dermatology 2017-03-02

Pemphigus and pemphigoid are blistering disorders associated with barrier disruption, immune dysregulation use of immunosuppressing systemic therapy, all which may predispose towards serious infections.To determine whether pemphigus increased likelihood infections the impact such on mortality cost care.We analysed data from 2002 to 2012 Nationwide Inpatient Sample, including a representative 20% sample hospitalizations in US (total n = 72 108 077 adults).Overall, 54.6% (95% CI: 53.6-55.6%)...

10.1111/jdv.14961 article EN Journal of the European Academy of Dermatology and Venereology 2018-03-25

Introduction Little is known about the risk factors of hospitalization for atopic dermatitis (AD). Objectives We sought to determine associations AD in United States. Methods Data were analyzed from 2002 2012 National Inpatient Sample. Atopic hospitalizations compared with controls, which included all without any diagnosis excluding normal pregnancy/delivery, yielding a representative cohort US hospitalizations. Results Both adults and children, who admitted or eczema, more likely have...

10.1097/der.0000000000000323 article EN Dermatitis 2017-10-22

The increasing elderly population calls for creative approaches to healthcare. To improve patients with chronic conditions health outcomes, optimize resource utilization, and provide more individualized care, this study proposes an AI-driven framework that integrates Social Determinants of Health (SDOH), Electronic Records (EHRs), Multi-Omics Data, Resource Optimization Models. This strategy fixes systemic inefficiencies guarantees scalable, affordable, equitable geriatric care by utilizing...

10.36548/jitdw.2024.4.007 article EN Journal of Information Technology and Digital World 2025-01-01

A hybrid MFO-PSO-GA algorithm is presented for optimizing scheduling in cloud-based smart healthcare systems. By combining Moth Flame Optimization, Particle Swarm and Genetic Algorithms, this solution improves resource consumption, reduces execution time, provides real-time responsiveness. Experimental results demonstrate superior performance accuracy, precision, recall, allocation efficiency at 95%. This enhances scalability, security, performance, offering a robust framework task scheduling.

10.36548/jismac.2025.1.001 article EN Journal of ISMAC 2025-02-17

The model suggested for detection of financial fraud a Modified Graph Convolutional Network with Temporal Features (MGCN-TFNet) spatial as well temporal data analysis. initiates acquiring the dataset and normalizing it, followed by applying Networks to learn about transactional structural patterns embeddings features. attention layers emphasize corresponding time-based features identify transactions according relevance various windows time. An integration layer temporal-structural enhances...

10.35629/5252-0703607614 article EN 2025-03-01

Mobile ad-hoc networks (MANETs) face significant challenges due to the lack of centralized infrastructure and efficient routing techniques, which hinder optimal data transfer. This paper addresses these by proposing a Centralized Infrastructure-Aware, Reliable Data Transaction Model for IoT-enabled MANETs in cloud environment. The model incorporates novel approaches enhance network efficiency security, including Learning-based Multi-objective Optimization Algorithm (LDMOA) Extended...

10.1142/s1469026825500038 article EN International Journal of Computational Intelligence and Applications 2025-04-14
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