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  1. Article ; Online: Clinical characteristics and management outcomes in isolated nail lichen planus: A retrospective case series.

    Singal, Archana / Gaurav, Vishal / Kaur, Ishmeet

    Indian journal of dermatology, venereology and leprology

    2023  , Page(s) 1–7

    Abstract: Background Isolated nail lichen planus (NLP) without mucocutaneous involvement is rare. Literature about the clinical profile and management is scarce. Aims/Objective We attempted to characterize the clinico-demographic profile and analyze the management ...

    Abstract Background Isolated nail lichen planus (NLP) without mucocutaneous involvement is rare. Literature about the clinical profile and management is scarce. Aims/Objective We attempted to characterize the clinico-demographic profile and analyze the management outcome of patients with isolated nail lichen planus. Methods Records of 15 patients were evaluated, and their demographic profile, clinical features of the nail matrix and nail bed disease, onychoscopy findings, histopathological features, treatment given, and follow-up progress were analysed. Results Data from 15 patients were collected. The mean age of the patients was 28.6 ± 19.0 years (range 3.5 years to 56 years). The gender ratio was 0.8 with 7 males and 8 females. The average disease duration at presentation was 2.8 ± 2.6 years (6 months-9 years). The average number of nails involved was 16.4 ± 4.6 (8-20 nails). All 20 nails were involved in 9 (60%) patients. Nail matrix -involvement was seen in all, with onychorrhexis being the most common manifestation, which was seen in 11 (73.3%) patients. Nail bed involvement was seen in 11 (73.3%) patients, with onycholysis being the most common presentation. Severe nail disease was seen in 7 (46.7%) patients, and 5 (33.3%) had pterygium involving an average of 3.4 nails. Moderate to good improvement was observed in 9 (60%) patients after an average of 6.1 ± 2.4 (3-9) treatment sessions with intramuscular and intramatricial triamcinolone acetonide injection. Of these, 2/9 (22.2%) developed disease recurrence in a few nails after an interval of 1 and 1.5 years, respectively. Two patients achieved complete clinical cures that persisted beyond 2 years of follow-up. Limitations Retrospective nature of the series and the small sample size are the major limitations. Conclusion The risk of permanent disfigurement is high in NLP and calls for an early diagnosis and prompt treatment. Intralesional and intramuscular steroids are first-line therapeutic options depending upon the number of nails involved.
    Language English
    Publishing date 2023-10-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 416068-x
    ISSN 0973-3922 ; 0019-5162 ; 0378-6323
    ISSN (online) 0973-3922
    ISSN 0019-5162 ; 0378-6323
    DOI 10.25259/IJDVL_449_2023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Mucoscopy of Fordyce's Spots on Lips.

    Jakhar, Deepak / Kaur, Ishmeet

    Indian dermatology online journal

    2019  Volume 10, Issue 4, Page(s) 498–499

    Language English
    Publishing date 2019-03-25
    Publishing country India
    Document type Journal Article
    ZDB-ID 2585814-2
    ISSN 2249-5673 ; 2229-5178
    ISSN (online) 2249-5673
    ISSN 2229-5178
    DOI 10.4103/idoj.IDOJ_185_18
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning

    Kaur, Ishmeet / Jadhav, Adwaita Janardhan

    2023  

    Abstract: Advancement in the field of machine learning is unavoidable, but something of major concern is preserving the privacy of the users whose data is being used for training these machine learning algorithms. Federated learning(FL) has emerged as a promising ... ...

    Abstract Advancement in the field of machine learning is unavoidable, but something of major concern is preserving the privacy of the users whose data is being used for training these machine learning algorithms. Federated learning(FL) has emerged as a promising paradigm for training machine learning models in a distributed and privacy-preserving manner which enables one to collaborate and train a global model without sharing local data. But starting this learning process on each device in the right way, called ``model initialization" is critical. The choice of initialization methods used for models plays a crucial role in the performance, convergence speed, communication efficiency, privacy guarantees of federated learning systems, etc. In this survey, we dive deeper into a comprehensive study of various ways of model initialization techniques in FL.Unlike other studies, our research meticulously compares, categorizes, and delineates the merits and demerits of each technique, examining their applicability across diverse FL scenarios. We highlight how factors like client variability, data non-IIDness, model caliber, security considerations, and network restrictions influence FL model outcomes and propose how strategic initialization can address and potentially rectify many such challenges. The motivation behind this survey is to highlight that the right start can help overcome challenges like varying data quality, security issues, and network problems. Our insights provide a foundational base for experts looking to fully utilize FL, also while understanding the complexities of model initialization.

    Comment: Accepted to be presented at IEEE 2nd International Conference on Intelligent Computing and Next Generation Networks (ICNGN2023) will be held November 17-18,2023 at Hangzhou, China
    Keywords Computer Science - Machine Learning ; Computer Science - Cryptography and Security ; Computer Science - Distributed ; Parallel ; and Cluster Computing
    Subject code 006
    Publishing date 2023-10-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Current applications of artificial intelligence for COVID-19.

    Jakhar, Deepak / Kaur, Ishmeet

    Dermatologic therapy

    2020  Volume 33, Issue 4, Page(s) e13654

    MeSH term(s) Artificial Intelligence ; Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Deep Learning ; Humans ; Machine Learning ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-06-26
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1354801-3
    ISSN 1529-8019 ; 1396-0296
    ISSN (online) 1529-8019
    ISSN 1396-0296
    DOI 10.1111/dth.13654
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Callous attitude toward doctors during COVID-19.

    Jakhar, Deepak / Kaur, Ishmeet

    Dermatologic therapy

    2020  Volume 33, Issue 6, Page(s) e13885

    MeSH term(s) Attitude ; COVID-19/therapy ; Health Personnel ; Humans ; India ; Physician-Patient Relations ; SARS-CoV-2 ; Social Perception ; Violence
    Keywords covid19
    Language English
    Publishing date 2020-07-07
    Publishing country United States
    Document type Letter
    ZDB-ID 1354801-3
    ISSN 1529-8019 ; 1396-0296
    ISSN (online) 1529-8019
    ISSN 1396-0296
    DOI 10.1111/dth.13885
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Federated Learning in IoT

    Jadhav, Ishmeet Kaur andAdwaita Janardhan

    a Survey from a Resource-Constrained Perspective

    2023  

    Abstract: The IoT ecosystem is able to leverage vast amounts of data for intelligent decision-making. Federated Learning (FL), a decentralized machine learning technique, is widely used to collect and train machine learning models from a variety of distributed ... ...

    Abstract The IoT ecosystem is able to leverage vast amounts of data for intelligent decision-making. Federated Learning (FL), a decentralized machine learning technique, is widely used to collect and train machine learning models from a variety of distributed data sources. Both IoT and FL systems can be complementary and used together. However, the resource-constrained nature of IoT devices prevents the widescale deployment FL in the real world. This research paper presents a comprehensive survey of the challenges and solutions associated with implementing Federated Learning (FL) in resource-constrained Internet of Things (IoT) environments, viewed from 2 levels, client and server. We focus on solutions regarding limited client resources, presence of heterogeneous client data, server capacity, and high communication costs, and assess their effectiveness in various scenarios. Furthermore, we categorize the solutions based on the location of their application, i.e., the IoT client, and the FL server. In addition to a comprehensive review of existing research and potential future directions, this paper also presents new evaluation metrics that would allow researchers to evaluate their solutions on resource-constrained IoT devices.

    Comment: Presented and accepted at The IEEE 2023 International Conference on Artificial Intelligence, Robotics, Signal and Image Processing (AIRoSIP)
    Keywords Computer Science - Machine Learning ; Computer Science - Distributed ; Parallel ; and Cluster Computing
    Subject code 006
    Publishing date 2023-08-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Potential of chloroquine and hydroxychloroquine to treat COVID-19 causes fears of shortages among people with systemic lupus erythematosus.

    Jakhar, Deepak / Kaur, Ishmeet

    Nature medicine

    2020  Volume 26, Issue 5, Page(s) 632

    MeSH term(s) Betacoronavirus ; COVID-19 ; Chloroquine/supply & distribution ; Chloroquine/therapeutic use ; Coronavirus Infections/drug therapy ; Fear ; Humans ; Hydroxychloroquine/supply & distribution ; Hydroxychloroquine/therapeutic use ; Lupus Erythematosus, Systemic/drug therapy ; Pandemics ; Pneumonia, Viral/drug therapy ; SARS-CoV-2
    Chemical Substances Hydroxychloroquine (4QWG6N8QKH) ; Chloroquine (886U3H6UFF)
    Keywords covid19
    Language English
    Publishing date 2020-04-08
    Publishing country United States
    Document type Letter
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-020-0853-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: "Gloving the dermoscope" for genital lesion dermoscopy.

    Jakhar, Deepak / Grover, Chander / Kaur, Ishmeet

    Indian journal of dermatology, venereology and leprology

    2021  Volume 87, Issue 1, Page(s) 144–145

    MeSH term(s) Dermoscopy/instrumentation ; Equipment Contamination/prevention & control ; Genitalia/pathology ; Gloves, Surgical ; Humans ; Skin Diseases/pathology
    Language English
    Publishing date 2021-02-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 416068-x
    ISSN 0973-3922 ; 0019-5162 ; 0378-6323
    ISSN (online) 0973-3922
    ISSN 0019-5162 ; 0378-6323
    DOI 10.25259/IJDVL_493_19
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Conjunctival Ulcers in Behcet's Disease and Response to Colchicine.

    Kaur, Ishmeet / Singal, Archana / Rohatgi, Jolly

    Indian dermatology online journal

    2020  Volume 11, Issue 6, Page(s) 1005–1006

    Language English
    Publishing date 2020-09-19
    Publishing country India
    Document type Journal Article
    ZDB-ID 2585814-2
    ISSN 2249-5673 ; 2229-5178
    ISSN (online) 2249-5673
    ISSN 2229-5178
    DOI 10.4103/idoj.IDOJ_362_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Acute Paronychia and Reactive Capillary Proliferation in a Patient on Erlotinib.

    Kaur, Ishmeet / Gandhi, Vijay / Jakhar, Deepak

    Indian journal of dermatology

    2020  Volume 65, Issue 3, Page(s) 236–237

    Language English
    Publishing date 2020-06-04
    Publishing country India
    Document type Journal Article
    ZDB-ID 416069-1
    ISSN 1998-3611 ; 0019-5154
    ISSN (online) 1998-3611
    ISSN 0019-5154
    DOI 10.4103/ijd.IJD_348_18
    Database MEDical Literature Analysis and Retrieval System OnLINE

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