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  1. Article ; Online: A smart & precise approach with nanoparticles-based therapeutic intervention in neurodegenerative diseases

    Sohini Kulavi / Ramneet Kaur / Karan Iyer / Jaya Bandyopadhyay / Titav Sengupta

    Nanomedicine Journal, Vol 10, Iss 2, Pp 96-

    2023  Volume 106

    Abstract: Neurodegenerative diseases (NDs) cause cell dysfunction with a gradual loss of neurons in the central nervous system and aberrant accumulation of aggregated proteins such as synuclein, tau, and amyloid. Alzheimer’s disease and Parkinson’s disease are the ...

    Abstract Neurodegenerative diseases (NDs) cause cell dysfunction with a gradual loss of neurons in the central nervous system and aberrant accumulation of aggregated proteins such as synuclein, tau, and amyloid. Alzheimer’s disease and Parkinson’s disease are the two frequently occurring neurodegenerative disorders. Nanobiotechnology being an emerging field used in applied biotechnology holds great potential for the advancement of treatments. This review aims to give a brief but comprehensive idea about the possibilities of utilizing the advanced nanotechnological aspect to treat the Alzheimer’s and Parkinson’s NDs that can be explored through proper investigations. In the present study, various kinds of literature were surveyed and reviewed to appreciate the neurodegenerative disease manifestation. It is becoming challenging to treat and discuss the potentiality of effective nano-mediated treatment strategies for Alzheimer’s and Parkinson’s diseases. The capability of current drugs to cross the blood-brain barrier (BBB) makes NDs’ treatment even more challenging. Recent therapies for such kinds of diseases are focused on symptomatic relief. Nanoparticulate drug delivery systems address all the challenges from all aspects and offer novel therapeutics for NDs. With targeted drug delivery of the required drug or protein to the site of interest, this approach is expected to turn out to be an exact and advanced therapeutic approach.
    Keywords administration ; classification ; dosage nanobiotechnology ; neurodegenerative disease ; therapy ; toxicity ; therapeutic use ; Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Mashhad University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Ultrasound assessment of fetal hearing response to vibroacoustic stimulation.

    Das, Ratan / Jana, Narayan / Arora, Nalini / Sengupta, Sohini

    The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians

    2019  Volume 33, Issue 14, Page(s) 2326–2332

    Abstract: Background: ...

    Abstract Background:
    MeSH term(s) Acoustic Stimulation/methods ; Adult ; Female ; Fetal Movement ; Gestational Age ; Hearing/physiology ; Humans ; Pregnancy ; Prospective Studies ; Reflex, Startle ; Ultrasonography, Prenatal
    Language English
    Publishing date 2019-01-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2077261-0
    ISSN 1476-4954 ; 1057-0802 ; 1476-7058
    ISSN (online) 1476-4954
    ISSN 1057-0802 ; 1476-7058
    DOI 10.1080/14767058.2018.1548600
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Retrospective Analysis of Clinical Laboratory Parameters, Therapeutics and Outcome in Patients Infected with SARS-CoV2.

    Sengupta, Sohini / Handoo, Anil / Pande, Rajesh / Kapoor, R K

    Indian journal of clinical biochemistry : IJCB

    2021  Volume 37, Issue 4, Page(s) 480–486

    Abstract: SARS-CoV-2 is the third coronavirus to have caused severe disease in humans in the last two decades, with approximately 5% of all patients and 20% of hospitalized patients experiencing severe symptoms, necessitating intensive care. The occurrence of ... ...

    Abstract SARS-CoV-2 is the third coronavirus to have caused severe disease in humans in the last two decades, with approximately 5% of all patients and 20% of hospitalized patients experiencing severe symptoms, necessitating intensive care. The occurrence of Cytokine Storm has been implicated in the immune-pathogenesis of severe COVID-19. This is associated with cardiac injury, precipitated by cytokine mediated imbalance of coagulation and fibrinolysis, in the lung alveoli. In the absence of proven therapeutic agents, combinations of anti-viral drugs, immune-modulators and other adjunctive therapies have been tried in different clinical settings. A total of 128 confirmed cases of severe COVID-19 admitted to BLK-MAX Super Speciality Hospital between 16th of June to 31st of July, 2020 were included in this study. The correlation of age, gender, first value (on admission) of serum IL-6 and D-dimer, and impact of Tocilizumab and Remdesivir therapy on clinical outcome (28-day mortality), was evaluated in confirmed cases of severe COVID-19. The mortality rate was highest in the age group above 70 years. The incidence of death was significantly higher in males above 50 years, when age and gender were considered together. IL-6 and D-dimer levels >70 pg/mL and > 0.5μg FEU/mL respectively, were associated with poor outcome. 85.3% of patients treated with Remdesivir showed clinical improvement. When Tocilizumab and Remdisivir were administered together, 44.0% of patients survived while 56% expired. 79.7% of patients survived while 20.3% expired when neither Tocilizumab nor Remdesivir was administered.
    Language English
    Publishing date 2021-11-10
    Publishing country India
    Document type Journal Article
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-021-01009-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Social Policy, COVID-19 and Impoverished Migrants

    Sengupta, Sohini / Jha, Manish K.

    The International Journal of Community and Social Development

    Challenges and Prospects in Locked Down India

    2020  Volume 2, Issue 2, Page(s) 152–172

    Abstract: As countries shore up existing safeguards to address the social and economic impacts of the COVID-19 pandemic, India faces a humanitarian disaster of unprecedented proportions. Ninety per cent of the Indian workforce is employed in the unorganised sector; ...

    Abstract As countries shore up existing safeguards to address the social and economic impacts of the COVID-19 pandemic, India faces a humanitarian disaster of unprecedented proportions. Ninety per cent of the Indian workforce is employed in the unorganised sector; uncounted millions work in urban areas at great distances from rural homes. When the Government of India (GOI) announced the sudden ‘lockdown’ in March to contain the spread of the pandemic, migrant informal workers were mired in a survival crisis, through income loss, hunger, destitution and persecution from authorities policing containment and fearful communities maintaining ‘social distance’. In this context, the article analyses how poverty, informality and inequality are accentuated by the COVID-19 pandemic experiences of ‘locked down’ migrant workers. The article examines the nature and scope of existing social policy, designed under changing political regimes and a fluctuating economic climate, to protect this vulnerable group and mitigate dislocation, discrimination and destitution at this moment and in future.
    Keywords covid19
    Language English
    Publisher SAGE Publications
    Publishing country us
    Document type Article ; Online
    ISSN 2516-6026
    DOI 10.1177/2516602620933715
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Covid-19 Pandemic Data Analysis and Forecasting using Machine Learning Algorithms

    Sengupta, Sohini / Mugde, Sareeta

    medRxiv

    Abstract: India reported its first case of covid-19 on 30th Jan 2020. Though we did not notice a significant rise in the number of cases in the month of February and like many other countries, this number escalated like anything from March 2020. This research ... ...

    Abstract India reported its first case of covid-19 on 30th Jan 2020. Though we did not notice a significant rise in the number of cases in the month of February and like many other countries, this number escalated like anything from March 2020. This research paper will include analysis of covid-19 data initially at a global level and then drilled down to the scenario of India. Data is gathered from multiple data sources from several authentic government websites. The paper will also include analysis of various features like gender, geographical location, age using Python and Data Visualization techniques. Getting insights on Trend pattern and time series analysis will bring more clarity to the current scenario as analysis is totally on real-time data(till 19th June). Finally we will use some machine learning algorithms and perform predictive analytics of the near future scenario. We are using a sigmoid model to give an estimate of the day on which we can expect the number of active cases to reach its peak and also when the curve will start to flatten sigmoid model gives us a count of date which is a unique feature of analysis in this paper. We are also using certain feature engineering techniques to transfer data into logarithmic scale for better comparison removing any data extremities or outliers. Based on the predictions of the short-term interval, our model can be tuned to forecast long time intervals. Needless to mention there are a lot of factors responsible for the cases to come in the upcoming days. It depends on the people of the country and how strictly they obey the rules and restriction imposed by the Government.
    Keywords covid19
    Language English
    Publishing date 2020-06-26
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.06.25.20140004
    Database COVID19

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  6. Article: Clarke Error Grid Analysis for Performance Evaluation of Glucometers in a Tertiary Care Referral Hospital.

    Sengupta, Sohini / Handoo, Anil / Haq, Inaamul / Dahiya, Karamvir / Mehta, Sanjay / Kaushik, Mradul

    Indian journal of clinical biochemistry : IJCB

    2021  Volume 37, Issue 2, Page(s) 199–205

    Abstract: Glucometer is the most commonly used POCT device and guides monitoring of blood glucose level in both clinical settings and outside. Inaccurate glucometer readings resulting in erroneous therapeutic intervention has critical consequences on patient care. ...

    Abstract Glucometer is the most commonly used POCT device and guides monitoring of blood glucose level in both clinical settings and outside. Inaccurate glucometer readings resulting in erroneous therapeutic intervention has critical consequences on patient care. Regulatory guidelines for performance evaluation of glucometers are not available in many countries. A robust program implemented by the hospital is essential to ensure accuracy and precision of glucometers to produce optimal results. The objective of this study was to design a quality assurance program for the evaluation of glucometers in a high volume tertiary care referral hospital and evaluate the results from July'18 to July'19. Seventy three glucometers used across the hospital were subjected to Internal Quality Control checks and Proficiency Testing performed once a month and every 3 months respectively. The results were reviewed and plotted on a Bland Altman Graph. Clarke Error Grid Analysis was done to evaluate the clinical significance of inaccuracies in the measurement of blood glucose concentration as per ISO 15197: 2013. Eight devices were identified as unacceptable by ISO standards and replaced subsequently. 96.83% and 3.17% of the values were in Zone A and B of Clarke Error Grid Analysis. The study complied with the standard which requires that 99% of the values fall within zones A and B. The review of the program after one year and its ability to identify defective glucometers has validated the efficacy of the model. The method used may be suggested as a prototype for quality management of glucometers in a clinical setting.
    Language English
    Publishing date 2021-03-25
    Publishing country India
    Document type Journal Article
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-021-00971-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: An Exploration of Impact of COVID 19 on mental health -Analysis of tweets using Natural Language Processing techniques

    Sengupta, Sohini / Mugde, Sareeta / Sharma, Garima

    Abstract: Twitter is one of the world's biggest social media platforms for hosting abundant number of user-generated posts. It is considered as a gold mine of data. Majority of the tweets are public and thereby pullable unlike other social media platforms. In this ...

    Abstract Twitter is one of the world's biggest social media platforms for hosting abundant number of user-generated posts. It is considered as a gold mine of data. Majority of the tweets are public and thereby pullable unlike other social media platforms. In this paper we are analyzing the topics related to mental health that are recently (June, 2020) been discussed on Twitter. Also amidst the on-going pandemic, we are going to find out if covid-19 emerges as one of the factors impacting mental health. Further we are going to do an overall sentiment analysis to better understand the emotions of users.
    Keywords covid19
    Publisher MedRxiv; WHO
    Document type Article ; Online
    Note WHO #Covidence: #20165571
    DOI 10.1101/2020.07.30.20165571
    Database COVID19

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  8. Article ; Online: An Exploration of Impact of COVID 19 on mental health -Analysis of tweets using Natural Language Processing techniques

    Sengupta, Sohini / Mugde, Sareeta / Sharma, Garima

    medRxiv

    Abstract: Twitter is one of the world9s biggest social media platforms for hosting abundant number of user-generated posts. It is considered as a gold mine of data. Majority of the tweets are public and thereby pullable unlike other social media platforms. In this ...

    Abstract Twitter is one of the world9s biggest social media platforms for hosting abundant number of user-generated posts. It is considered as a gold mine of data. Majority of the tweets are public and thereby pullable unlike other social media platforms. In this paper we are analyzing the topics related to mental health that are recently (June, 2020) been discussed on Twitter. Also amidst the on-going pandemic, we are going to find out if covid-19 emerges as one of the factors impacting mental health. Further we are going to do an overall sentiment analysis to better understand the emotions of users.
    Keywords covid19
    Language English
    Publishing date 2020-08-04
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.07.30.20165571
    Database COVID19

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  9. Article: A Novel Experimental Approach to Understand the Transport of Nanodrugs.

    Palchoudhury, Soubantika / Das, Parnab / Ghasemi, Amirehsan / Tareq, Syed Mohammed / Sengupta, Sohini / Han, Jinchen / Maglosky, Sarah / Almanea, Fajer / Jones, Madison / Cox, Collin / Rao, Venkateswar

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 15

    Abstract: Nanoparticle-based drugs offer attractive advantages like targeted delivery to the diseased site and size and shape-controlled properties. Therefore, understanding the particulate flow of the nanodrugs is important for effective delivery, accurate ... ...

    Abstract Nanoparticle-based drugs offer attractive advantages like targeted delivery to the diseased site and size and shape-controlled properties. Therefore, understanding the particulate flow of the nanodrugs is important for effective delivery, accurate prediction of required dosage, and developing efficient drug delivery platforms for nanodrugs. In this study, the transport of nanodrugs including flow velocity and deposition is investigated using three model metal oxide nanodrugs of different sizes including iron oxide, zinc oxide, and combined Cu-Zn-Fe oxide synthesized via a modified polyol approach. The hydrodynamic size, size, morphology, chemical composition, crystal phase, and surface functional groups of the water-soluble nanodrugs were characterized via dynamic light scattering, transmission electron microscopy, scanning electron microscopy-energy dispersive X-ray, X-ray diffraction, and fourier transform infrared spectroscopy, respectively. Two different biomimetic flow channels with customized surfaces are developed via 3D printing to experimentally monitor the velocity and deposition of the different nanodrugs. A diffusion dominated mechanism of flow is seen in size ranges 92 nm to 110 nm of the nanodrugs, from the experimental velocity and mass loss profiles. The flow velocity analysis also shows that the transport of nanodrugs is controlled by sedimentation processes in the larger size ranges of 110-302 nm. However, the combined overview from experimental mass loss and velocity trends indicates presence of both diffusive and sedimentation forces in the 110-302 nm size ranges. It is also discovered that the nanodrugs with higher positive surface charges are transported faster through the two test channels, which also leads to lower deposition of these nanodrugs on the walls of the flow channels. The results from this study will be valuable in realizing reliable and cost-effective in vitro experimental approaches that can support in vivo methods to predict the flow of new nanodrugs.
    Language English
    Publishing date 2023-08-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16155485
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: 2007 costs and coverage of antiretrovirals under Medicare Part D for people with HIV/AIDS living in North Carolina.

    Sengupta, Sohini

    North Carolina medical journal

    2008  Volume 69, Issue 1, Page(s) 6–13

    Abstract: Background: Effective January 1, 2006 Medicare Part D became a new source of prescription drug coverage for people with HIV/AIDS in the United States. The implementation of Part D has affected access to antiretrovirals for people with HIV/AIDS. In North ...

    Abstract Background: Effective January 1, 2006 Medicare Part D became a new source of prescription drug coverage for people with HIV/AIDS in the United States. The implementation of Part D has affected access to antiretrovirals for people with HIV/AIDS. In North Carolina, access can be difficult because of the state's struggling safety net programs and the growing HIV-infected populations among Blacks and in poor rural counties. This analysis examines Medicare Part D antiretroviral coverage in 2007 for beneficiaries with HIV/AIDS in North Carolina, particularly those who did not qualify as dual eligibles or for a full low-income subsidy.
    Methods: Data describing program coverage were obtained from the Web site www.medicare.gov and descriptive analyses were performed to assess changes in antiretroviral coverage in Part D prescription drug plans in North Carolina.
    Results: Most of the 26 antiretrovirals are covered in some way by 76 North Carolina prescription drug plans. There may be variability in coverage however associated with (a) antiretroviral classification within formularies; (b) drug premiums; (c) whether premiums can be waived; (d) annual deductibles; and (e) whether coverage is provided in the "doughnut hole."
    Limitations: The data may not reflect actual patterns of drug use and realized access to the drugs. The findings are limited to antiretroviral coverage in North Carolina's Part D offerings but could be generalized to other states with similar prescription drug plan costs and coverage.
    Conclusion: These concerns continue to pose significant challenges to accessing antiretrovirals for Part D beneficiaries with HIV/AIDS in North Carolina. Variability demonstrated within prescription drug plans will continue, and beneficiaries with HIV/AIDS who do not qualify as dual eligibles or for low-income subsidies will need to evaluate these issues when selecting a prescription drug plan in future enrollment periods.
    MeSH term(s) Acquired Immunodeficiency Syndrome/drug therapy ; Acquired Immunodeficiency Syndrome/economics ; Acquired Immunodeficiency Syndrome/epidemiology ; Anti-Retroviral Agents/economics ; Anti-Retroviral Agents/therapeutic use ; Drug Prescriptions ; HIV Infections/drug therapy ; HIV Infections/economics ; HIV Infections/epidemiology ; Health Care Costs ; Health Services Accessibility/economics ; Humans ; Insurance, Pharmaceutical Services ; Medicare Part D ; North Carolina/epidemiology ; Pilot Projects ; United States/epidemiology
    Chemical Substances Anti-Retroviral Agents
    Language English
    Publishing date 2008-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 422795-5
    ISSN 0029-2559
    ISSN 0029-2559
    Database MEDical Literature Analysis and Retrieval System OnLINE

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