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  1. Article: Talquetamab: A promising immunotherapy for multiple myeloma.

    Tariq, Amna / Wahid, Abdul / Asif, Fatima / Khan, Mahnoor

    Rare tumors

    2023  Volume 15, Page(s) 20363613231211051

    Language English
    Publishing date 2023-11-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 2514363-3
    ISSN 2036-3613 ; 2036-3605
    ISSN (online) 2036-3613
    ISSN 2036-3605
    DOI 10.1177/20363613231211051
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Vorasidenib: A promising therapeutic breakthrough for diffuse isocitrate dehydrogenase mutant gliomas.

    Wahid, Abdul / Tariq, Amna / Ahsan, Faiza / Asif, Fatima

    Rare tumors

    2023  Volume 15, Page(s) 20363613231197991

    Language English
    Publishing date 2023-08-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 2514363-3
    ISSN 2036-3613 ; 2036-3605
    ISSN (online) 2036-3613
    ISSN 2036-3605
    DOI 10.1177/20363613231197991
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Epidemiology and management of Fusarium wilt of

    Ahmad, Irfan / Mazhar, Komal / Atiq, Muhammad / Khalaf, Amna Kahtan / Rashid, Muhammad Haroon U / Asif, Muhammad / Ahmed, Salman / Adil, Zoha / Fayyaz, Amna / Al-Sadoon, Mohammad Khalid / Al-Otaibi, Hamad S

    PeerJ

    2024  Volume 12, Page(s) e17022

    Abstract: Eucalyptus ... ...

    Abstract Eucalyptus camaldulensis
    MeSH term(s) Eucalyptus ; Fusarium ; Salicylic Acid ; Plant Leaves ; Phosphates
    Chemical Substances Salicylic Acid (O414PZ4LPZ) ; Phosphates
    Language English
    Publishing date 2024-03-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.17022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey.

    Kosar, Amna / Asif, Muhammad / Ahmad, Maaz Bin / Akram, Waseem / Mahmood, Khalid / Kumari, Saru

    Artificial intelligence in medicine

    2024  Volume 151, Page(s) 102858

    Abstract: The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The virus first originated in Wuhan (China) and rapidly affected most of the ... ...

    Abstract The unpredictable pandemic came to light at the end of December 2019, known as the novel coronavirus, also termed COVID-19, identified by the World Health Organization (WHO). The virus first originated in Wuhan (China) and rapidly affected most of the world's population. This outbreak's impact is experienced worldwide because it causes high mortality risk, many cases, and economic falls. Around the globe, the total number of cases and deaths reported till November 12, 2022, were >600 million and 6.6 million, respectively. During the period of COVID-19, several diverse diagnostic techniques have been proposed. This work presents a systematic review of COVID-19 diagnostic techniques in response to such acts. Initially, these techniques are classified into different categories based on their working principle and detection modalities, i.e. chest X-ray imaging, cough sound or respiratory patterns, RT-PCR, antigen testing, and antibody testing. After that, a comparative analysis is performed to evaluate these techniques' efficacy which may help to determine an optimum solution for a particular scenario. The findings of the proposed work show that Artificial Intelligence plays a vital role in developing COVID-19 diagnostic techniques which support the healthcare system. The related work can be a footprint for all the researchers, available under a single umbrella. Additionally, all the techniques are long-lasting and can be used for future pandemics.
    MeSH term(s) Humans ; COVID-19/diagnosis ; COVID-19/epidemiology ; Artificial Intelligence ; COVID-19 Testing/methods ; SARS-CoV-2/genetics ; Pandemics
    Language English
    Publishing date 2024-04-01
    Publishing country Netherlands
    Document type Journal Article ; Systematic Review ; Review
    ZDB-ID 645179-2
    ISSN 1873-2860 ; 0933-3657
    ISSN (online) 1873-2860
    ISSN 0933-3657
    DOI 10.1016/j.artmed.2024.102858
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Primitive myxoid mesenchymal tumours of infancy: first case surrounding the optic nerve.

    Taimur, Fariha / Akbar, Maheen / Manzoor, Amna / Afghani, Tayyab / Asif, Muhammad

    Canadian journal of ophthalmology. Journal canadien d'ophtalmologie

    2022  Volume 58, Issue 2, Page(s) e90–e92

    MeSH term(s) Humans ; Infant ; Optic Nerve/diagnostic imaging ; Neoplasms
    Language English
    Publishing date 2022-08-06
    Publishing country England
    Document type Letter
    ZDB-ID 80091-0
    ISSN 1715-3360 ; 0008-4182
    ISSN (online) 1715-3360
    ISSN 0008-4182
    DOI 10.1016/j.jcjo.2022.07.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A Comprehensive Approach of Exploring Usability Problems in Enterprise Resource Planning Systems

    Amna Asif / Deemah AlFrraj / Majed A. Alshamari

    Applied Sciences, Vol 12, Iss 2293, p

    2022  Volume 2293

    Abstract: Enterprise Resource Planning (ERP) is a frequently used system among organizations to automate their workflows, and companies’ performances are highly dependent on the ERP system. The usability issues of ERP systems may cause performance degradation, ... ...

    Abstract Enterprise Resource Planning (ERP) is a frequently used system among organizations to automate their workflows, and companies’ performances are highly dependent on the ERP system. The usability issues of ERP systems may cause performance degradation, resulting in the company’s loss in terms of cost. Previously, several studies reported many usability problems of ERP systems. It can be helpful for the developers and designers of ERP systems to use design recommendations as a quick reference to avoid recurrent usability problems of ERP systems. Currently, this area lacks effective consolidation of the previously reported usability problems data. This paper presents a unique approach to developing a precise checklist of ERP usability problems using the topic modeling technique. Our analysis found six different usability problem-related topics that can be generalized for various ERP systems. We have successfully validated our checklist in three different usability studies of ERP systems. The most found usability problems are “difficulty searching and finding desired item/information in interface and error handling” and “missing data and information”. The outcome of our paper is the provision of recommendations to avoid the usability problems of ERP systems and help organizations efficiently prevent frequent issues during the development and maintenance of ERP systems.
    Keywords ERP systems’ usability problems ; topic modeling ; usability evaluation ; heuristic evaluation ; usability testing ; cognitive walkthrough ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 005
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Enhanced Arabic disaster data classification using domain adaptation.

    Moussa, Abdullah M / Abdou, Sherif / Elsayed, Khaled M / Rashwan, Mohsen / Asif, Amna / Khatoon, Shaheen / Alshamari, Majed A

    PloS one

    2024  Volume 19, Issue 4, Page(s) e0301255

    Abstract: Natural disasters, like pandemics and earthquakes, are some of the main causes of distress and casualties. Governmental crisis management processes are crucial when dealing with these types of problems. Social media platforms are among the main sources ... ...

    Abstract Natural disasters, like pandemics and earthquakes, are some of the main causes of distress and casualties. Governmental crisis management processes are crucial when dealing with these types of problems. Social media platforms are among the main sources of information regarding current events and public opinion. So, they have been used extensively to aid disaster detection and prevention efforts. Therefore, there is always a need for better automatic systems that can detect and classify disaster data of social media. In this work, we propose enhanced Arabic disaster data classification models. The suggested models utilize domain adaptation to provide state-of-the-art accuracy. We used a standard dataset of Arabic disaster data collected from Twitter for testing the proposed models. Experimental results show that the provided models significantly outperform the previous state-of-the-art results.
    MeSH term(s) Humans ; Disasters ; Earthquakes ; Natural Disasters ; Social Media ; Public Opinion ; Disaster Planning
    Language English
    Publishing date 2024-04-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0301255
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Prevalence of Long COVID Syndrome and its Association With Blood Group: A Cross-Sectional Study.

    Butt, Muhammad Abdurrahman / Abdullah, Muhammad Areeb / Waseem, Mustafa / Ahmed, Hamna / Aamir, Amna / Asif, Rafia / Durrani, Hameed M

    Cureus

    2024  Volume 16, Issue 2, Page(s) e53966

    Abstract: Background:  The coronavirus disease 2019 (COVID-19) virus pandemic rapidly spread across the globe since 2020. It was characterized by a number of acute signs and symptoms. There were, however, some new-onset signs and symptoms labelled as "Long COVID". ...

    Abstract Background:  The coronavirus disease 2019 (COVID-19) virus pandemic rapidly spread across the globe since 2020. It was characterized by a number of acute signs and symptoms. There were, however, some new-onset signs and symptoms labelled as "Long COVID". This study was conducted to study its prevalence and associations with blood group.
    Methods: A retrospective analysis was conducted in Islamabad for patients diagnosed with COVID-19 in 2020-2021. Information was collected through an online and physical questionnaire regarding personal demographics, symptoms during and after COVID-19, and blood group. The data was analyzed using IBM SPSS Statistics for Windows, Version 25.0 (Released 2017; IBM Corp., Armonk, New York, United States).
    Results: The study identified 196 participants out of which 48.5% were male and 51% were female, with a median age of 30. Most participants (62.2%) belonged to the Punjabi ethnicity. The mean BMI was 25.56 kg/m
    Conclusion:  There was no association found between long COVID and ABO blood groups. Females were more likely than males to experience long COVID. Long COVID was found to be more likely to develop in those with perceived severe acute infection, highlighting the need for further research regarding aggressive care from the onset of COVID-19 infection.
    Language English
    Publishing date 2024-02-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.53966
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Unveiling Lethal Risks Lurking in Hot Tub Baths: A Review of Tragic Consequences.

    Dahiya, Roopali / Asif, Maryam / Santhi, Sharanya E / Hashmi, Amna / Ahadi, Awranoos / Arshad, Zara / Nawaz, Faisal / Kashyap, Rahul

    Cureus

    2024  Volume 16, Issue 2, Page(s) e54198

    Abstract: Heat therapy, including saunas, jacuzzi, and hot tub bathing, has gained global popularity. However, the escalating incidents of injuries and fatalities associated with hot tub activities are a significant public health concern. This study aims to ... ...

    Abstract Heat therapy, including saunas, jacuzzi, and hot tub bathing, has gained global popularity. However, the escalating incidents of injuries and fatalities associated with hot tub activities are a significant public health concern. This study aims to comprehensively review and analyze the pathophysiological factors contributing to hot tub-related deaths, addressing the need for awareness and mitigation strategies. A comprehensive search of electronic databases, PubMed and Science Direct, was conducted to identify articles relevant to bath-related deaths. Eligible studies were exported to the Rayyan (Qatar Computing Research Institute, Qatar) software for data analysis. The data extracted from the 18 studies were compiled to elucidate the mechanisms underlying hot tub bath-related deaths and to advocate for the adoption of potential mitigation strategies and future directions to prevent such incidents in the future. The review revealed insights into the current trend of fatalities linked to hot tub bathing. A detailed analysis of pathophysiological aspects, encompassing hemodynamics, electrolyte disturbances, serum glucagon alterations, and the impact of alcohol and substance abuse during hot tub use, was conducted. Furthermore, we explored the effects of temperature and conducted a thorough discussion of postmortem evidence analysis concerning deaths related to bathtub usage. Finally, the paper discusses mitigation strategies to prevent fatalities attributed to hot tub bathing. In conclusion, our review highlights growing public health concerns surrounding injuries and fatalities related to hot tub activities. Through an examination of the incidence rates, pathophysiological factors, and proposed mitigation strategies, we provide crucial insights for enhancing safety and addressing the escalating risks associated with hot tub bathing.
    Language English
    Publishing date 2024-02-14
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.54198
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Biochemical properties and biological potential of Syzygium heyneanum with antiparkinson's activity in paraquat induced rodent model.

    Saadullah, Malik / Tariq, Hafsa / Chauhdary, Zunera / Saleem, Uzma / Anwer Bukhari, Shazia / Sehar, Amna / Asif, Muhammad / Sethi, Aisha

    PloS one

    2024  Volume 19, Issue 3, Page(s) e0298986

    Abstract: Syzygium heyneanum is a valuable source of flavonoids and phenols, known for their antioxidant and neuroprotective properties. This research aimed to explore the potential of Syzygium heyneanum ethanol extract (SHE) in countering Parkinson's disease. The ...

    Abstract Syzygium heyneanum is a valuable source of flavonoids and phenols, known for their antioxidant and neuroprotective properties. This research aimed to explore the potential of Syzygium heyneanum ethanol extract (SHE) in countering Parkinson's disease. The presence of phenols and flavonoids results in SHE displaying an IC50 value of 42.13 when assessed in the DPPH scavenging assay. Rats' vital organs (lungs, heart, spleen, liver, and kidney) histopathology reveals little or almost no harmful effect. The study hypothesized that SHE possesses antioxidants that could mitigate Parkinson's symptoms by influencing α-synuclein, acetylcholinesterase (AChE), TNF-α, and IL-1β. Both in silico and in vivo investigations were conducted. The Parkinson's rat model was established using paraquat (1 mg/kg, i.p.), with rats divided into control, disease control, standard, and SHE-treated groups (150, 300, and 600 mg/kg) for 21 days. According to the ELISA statistics, the SHE treated group had lowers levels of IL-6 and TNF-α than the disease control group, which is a sign of neuroprotection. Behavioral and biochemical assessments were performed, alongside mRNA expression analyses using RT-PCR to assess SHE's impact on α-synuclein, AChE, TNF-α, and interleukins in brain homogenates. Behavioral observations demonstrated dose-dependent improvements in rats treated with SHE (600 > 300 > 150 mg/kg). Antioxidant enzyme levels (catalase, superoxide dismutase, glutathione) were significantly restored, particularly at a high dose, with notable reduction in malondialdehyde. The high dose of SHE notably lowered acetylcholinesterase levels. qRT-PCR results indicated reduced mRNA expression of IL-1β, α-synuclein, TNF-α, and AChE in SHE-treated groups compared to disease controls, suggesting neuroprotection. In conclusion, this study highlights Syzygium heyneanum potential to alleviate Parkinson's disease symptoms through its antioxidant and modulatory effects on relevant biomarkers.
    MeSH term(s) Humans ; Rats ; Animals ; Antioxidants/pharmacology ; Antioxidants/therapeutic use ; Antioxidants/metabolism ; Paraquat/toxicity ; Parkinson Disease/drug therapy ; alpha-Synuclein/genetics ; alpha-Synuclein/metabolism ; Syzygium/chemistry ; Acetylcholinesterase/metabolism ; China ; Tumor Necrosis Factor-alpha/metabolism ; Rodentia ; Ethnicity ; Plant Extracts/pharmacology ; Plant Extracts/therapeutic use ; Plant Extracts/chemistry ; Phenols/pharmacology ; Flavonoids/pharmacology ; RNA, Messenger/metabolism ; Oxidative Stress
    Chemical Substances Antioxidants ; Paraquat (PLG39H7695) ; alpha-Synuclein ; Acetylcholinesterase (EC 3.1.1.7) ; Tumor Necrosis Factor-alpha ; Plant Extracts ; Phenols ; Flavonoids ; RNA, Messenger
    Language English
    Publishing date 2024-03-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0298986
    Database MEDical Literature Analysis and Retrieval System OnLINE

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