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  1. Article: ChatGPT, the future of healthcare research writing: Is it a double-edged sword?

    Lal, Abhishek

    Journal of dental research, dental clinics, dental prospects

    2023  Volume 17, Issue 2, Page(s) 61–62

    Language English
    Publishing date 2023-07-17
    Publishing country Iran
    Document type Journal Article
    ZDB-ID 2514725-0
    ISSN 2008-2118 ; 2008-210X
    ISSN (online) 2008-2118
    ISSN 2008-210X
    DOI 10.34172/joddd.2023.37147
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Deciphering the regulatory syntax of genomic DNA with deep learning.

    Lal, Avantika

    Journal of biosciences

    2022  Volume 47

    Abstract: An organism's genome contains many sequence regions that perform diverse functions. Examples of such regions include genes, promoters, enhancers, and binding sites for regulatory proteins and RNAs. One of biology's most important open problems is how to ... ...

    Abstract An organism's genome contains many sequence regions that perform diverse functions. Examples of such regions include genes, promoters, enhancers, and binding sites for regulatory proteins and RNAs. One of biology's most important open problems is how to take a genome sequence and predict which regions within it perform different functions. In recent years, deep learning has enabled dramatic advances across many fields by modeling complex relationships between entities. Several deep learning models have also proven successful in predicting the biological function of a portion of DNA from its sequence, revealing new insights into the complex rules underlying genome regulation and opening new possibilities in disease modeling and synthetic biology.
    MeSH term(s) DNA/genetics ; Deep Learning ; Enhancer Elements, Genetic ; Genomics ; Promoter Regions, Genetic ; Regulatory Sequences, Nucleic Acid/genetics
    Chemical Substances DNA (9007-49-2)
    Language English
    Publishing date 2022-10-12
    Publishing country India
    Document type Journal Article
    ZDB-ID 756157-x
    ISSN 0973-7138 ; 0250-5991
    ISSN (online) 0973-7138
    ISSN 0250-5991
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Exclusivity of Cultural Practices Within Emerging Disease Outbreak Responses in Developing Nations Leads to Detrimental Outcomes.

    Lal, Arnav

    Frontiers in public health

    2021  Volume 9, Page(s) 686540

    Abstract: A number of organizations provide aid and medical care to areas affected by emerging infectious disease outbreaks. This process oftentimes involves organizations traveling to developing areas and coordinating efforts on-site of the initial outbreak. Yet, ...

    Abstract A number of organizations provide aid and medical care to areas affected by emerging infectious disease outbreaks. This process oftentimes involves organizations traveling to developing areas and coordinating efforts on-site of the initial outbreak. Yet, the longevity and death toll of specific recent outbreaks and inability to effectively control them lead to unnecessary deaths and an unconstructive use of resources. While virtually all organizations justifiably point toward limited resources as an explanatory mechanism, this in itself does not excuse poor utilization of resources. Specifically, organizations systematically do not factor cultural practices into their disease responses. This is demonstrated in analyzing components of responses during 3 recent outbreaks occurring at different times and on different continents: Ebola in 2014 and 2019, and Zika in 2016. While systemic trends in these differential environments demonstrate the extent of the problem, fortunately, scientific innovations, collaboration with local individuals and leadership, and especially establishment of cross-cultural dialogue and response flexibility with the eventual development of effective behavioral change communication can help curb or mitigate this issue in the future.
    MeSH term(s) Developing Countries ; Disease Outbreaks/prevention & control ; Hemorrhagic Fever, Ebola/epidemiology ; Humans ; Zika Virus ; Zika Virus Infection/epidemiology
    Language English
    Publishing date 2021-07-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2021.686540
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Climate sustainability through a dynamic duo: Green hydrogen and crypto driving energy transition and decarbonization.

    Lal, Apoorv / You, Fengqi

    Proceedings of the National Academy of Sciences of the United States of America

    2024  Volume 121, Issue 14, Page(s) e2313911121

    Abstract: Climate change persists as a pressing global issue due to high greenhouse gas emissions from fossil fuel-based energy sources. A transition to a greener energy matrix combined with carbon offsetting is imperative to mitigate the rate at which global ... ...

    Abstract Climate change persists as a pressing global issue due to high greenhouse gas emissions from fossil fuel-based energy sources. A transition to a greener energy matrix combined with carbon offsetting is imperative to mitigate the rate at which global temperature ascends. While countries have deployed faith in green hydrogen to accelerate worldwide decarbonization efforts, the concurrent rise of blockchain-operated crypto-applications, such as bitcoin, has exacerbated climate change concerns. In this study, we propose technological solutions that combine the green hydrogen infrastructure with bitcoin mining operations to catalyze environmental and socioeconomic sustainability in climate change mitigation strategies. Since the present state of crypto-operations undeniably contributes to worldwide carbon emissions, it becomes vital to explore opportunities for harnessing the widespread enthusiasm for bitcoin as an aid toward a sustainable and climate-friendly future. Our findings reveal that green hydrogen production, paired with crypto-operations, can accelerate the deployment of solar and wind power capacities to boost conventional mitigation frameworks. Specifically, leveraging the economic potential derived from green hydrogen and bitcoin for incremental investment in renewable energy penetration, this dynamic duo can enable capacity expansions of up to 25.5% and 73.2% for solar and wind power installations. Therefore, the proposed technological solutions that leverage green hydrogen and bitcoin mining, bolstered with appropriate policy interventions, can not only strengthen renewable power generation and carbon offsetting capacities but also contribute significantly to achieving climate sustainability.
    Language English
    Publishing date 2024-03-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2313911121
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Navigating challenges and opportunities: AI's contribution to Pakistan's sustainable development goals agenda - a narrative review.

    Lal, Abhishek / Umer, Fahad

    JPMA. The Journal of the Pakistan Medical Association

    2024  Volume 74, Issue 4 (Supple-4), Page(s) S49–S56

    Abstract: Sustainable Developmental Goals (SDGs) were introduced by the United Nations to ensure the sustainable progress of mankind through various domains. Pakistan, a low-middle-income country, faces many challenges in achieving SDGs. Artificial Intelligence is ...

    Abstract Sustainable Developmental Goals (SDGs) were introduced by the United Nations to ensure the sustainable progress of mankind through various domains. Pakistan, a low-middle-income country, faces many challenges in achieving SDGs. Artificial Intelligence is a rapidly evolving technology presenting significant importance in achieving SDGs. Therefore, this narrative review aimed to evaluate the artificial intelligence technologies that have been utilized globally and nationally which can be implemented in Pakistan focusing on Goal 3 (Good Health and Well-being) of SDGs. AI has been utilized primarily in high-income countries aiming to improve healthcare, thereby progressing towards achieving different targets of Goal 3 of SDGs. Pakistan lacks such initiatives with modest to no improvement across different SDGs. Therefore, Pakistan can adapt initiatives undertaken by resourceful countries to achieve its own SDGs.
    MeSH term(s) Pakistan ; Sustainable Development ; Humans ; Artificial Intelligence ; Goals
    Language English
    Publishing date 2024-04-29
    Publishing country Pakistan
    Document type Journal Article ; Review
    ZDB-ID 603873-6
    ISSN 0030-9982
    ISSN 0030-9982
    DOI 10.47391/JPMA.AKU-9S-08
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Preventiva Medicine in Ancient India.

    Lal, A

    Indian journal of dermatology and venereology

    2017  Volume 31, Issue 4, Page(s) 178–182

    Language English
    Publishing date 2017-12-15
    Publishing country India
    Document type Journal Article
    ZDB-ID 416068-x
    ISSN 0019-5162 ; 0378-6323
    ISSN 0019-5162 ; 0378-6323
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Deciphering the regulatory syntax of genomic DNA with deep learning

    Lal, Avantika

    J Biosci. 2022 Sept., v. 47, no. 3 p.47-47

    2022  

    Abstract: An organism’s genome contains many sequence regions that perform diverse functions. Examples of such regions include genes, promoters, enhancers, and binding sites for regulatory proteins and RNAs. One of biology’s most important open problems is how to ... ...

    Abstract An organism’s genome contains many sequence regions that perform diverse functions. Examples of such regions include genes, promoters, enhancers, and binding sites for regulatory proteins and RNAs. One of biology’s most important open problems is how to take a genome sequence and predict which regions within it perform different functions. In recent years, deep learning has enabled dramatic advances across many fields by modeling complex relationships between entities. Several deep learning models have also proven successful in predicting the biological function of a portion of DNA from its sequence, revealing new insights into the complex rules underlying genome regulation and opening new possibilities in disease modeling and synthetic biology.
    Keywords DNA ; genome ; nucleotide sequences ; synthetic biology
    Language English
    Dates of publication 2022-09
    Size p. 47.
    Publishing place Springer India
    Document type Article ; Online
    Note Review
    ZDB-ID 756157-x
    ISSN 0973-7138 ; 0250-5991
    ISSN (online) 0973-7138
    ISSN 0250-5991
    DOI 10.1007/s12038-022-00291-6
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Challenges in chronic transfusion for patients with thalassemia.

    Lal, Ashutosh

    Hematology. American Society of Hematology. Education Program

    2020  Volume 2020, Issue 1, Page(s) 160–166

    Abstract: The introduction of regular red cell transfusions 60 years ago transformed β-thalassemia major from a fatal childhood illness into a chronic disorder. Further advances in the prevention of transfusion-transmitted infections and management of iron ... ...

    Abstract The introduction of regular red cell transfusions 60 years ago transformed β-thalassemia major from a fatal childhood illness into a chronic disorder. Further advances in the prevention of transfusion-transmitted infections and management of iron overload have allowed survival and quality of life to approach normal. However, transfusion therapy for some other thalassemia syndromes continues to challenge clinical decision-making. Nearly one-half of the patients with E ß thalassemia are transfusion-dependent, yet the criteria for initiating transfusions or hemoglobin targets are not well defined. Patients with thalassemia intermedia who begin transfusions as adults are at very high risk for developing red cell alloimmunization and serious hemolytic transfusion reactions. In the growing number of survivors of Bart hydrops fetalis, the approach to transfusion therapy and iron chelation is rapidly evolving. A collaboration between hematology and transfusion medicine specialists will be essential to improving patient care and developing evidence-based guidelines.
    MeSH term(s) Blood Transfusion ; Child ; Child, Preschool ; Female ; Humans ; Iron Chelating Agents/therapeutic use ; Iron Overload/drug therapy ; Iron Overload/etiology ; Male ; Quality of Life ; Transfusion Reaction/drug therapy ; beta-Thalassemia/therapy
    Chemical Substances Iron Chelating Agents
    Language English
    Publishing date 2020-12-04
    Publishing country United States
    Document type Case Reports ; Journal Article ; Review
    ZDB-ID 2084287-9
    ISSN 1520-4383 ; 1520-4391
    ISSN (online) 1520-4383
    ISSN 1520-4391
    DOI 10.1182/hematology.2020000102
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Will reshoring manufacturing of advanced electric vehicle battery support renewable energy transition and climate targets?

    Lal, Apoorv / You, Fengqi

    Science advances

    2023  Volume 9, Issue 24, Page(s) eadg6740

    Abstract: Recent global logistics and geopolitical challenges draw attention to the potential raw material shortages for electric vehicle (EV) batteries. Here, we analyze the long-term energy and sustainability prospects to ensure a secure and resilient midstream ... ...

    Abstract Recent global logistics and geopolitical challenges draw attention to the potential raw material shortages for electric vehicle (EV) batteries. Here, we analyze the long-term energy and sustainability prospects to ensure a secure and resilient midstream and downstream value chain for the U.S. EV battery market amid uncertain market expansion and evolving battery technologies. With current battery technologies, reshoring and ally-shoring the midstream and downstream EV battery manufacturing will reduce the carbon footprint by 15% and energy use by 5 to 7%. While next-generation cobalt-free battery technologies will achieve up to 27% carbon emission reduction, transitioning to 54% less carbon-intensive blade lithium iron phosphate may diminish the mitigation benefits of supply chain restructuring. Our findings underscore the importance of adopting nickel from secondary sources and nickel-rich ores. However, the advantages of restructuring the U.S. EV battery supply chain depend on projected battery technology advancements.
    Language English
    Publishing date 2023-06-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2810933-8
    ISSN 2375-2548 ; 2375-2548
    ISSN (online) 2375-2548
    ISSN 2375-2548
    DOI 10.1126/sciadv.adg6740
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: GHz ultrasonic sensor for ionic content with high sensitivity and localization.

    Balasubramanian, Priya S / Lal, Amit

    iScience

    2023  Volume 26, Issue 6, Page(s) 106907

    Abstract: Sensing the ionic content of a solution at high spatial and temporal resolution and sensitivity is a challenge in nanosensing. This paper describes a comprehensive investigation of the possibility of GHz ultrasound acoustic impedance sensors to sense the ...

    Abstract Sensing the ionic content of a solution at high spatial and temporal resolution and sensitivity is a challenge in nanosensing. This paper describes a comprehensive investigation of the possibility of GHz ultrasound acoustic impedance sensors to sense the content of an ionic aqueous medium. At the 1.55 GHz ultrasonic frequency used in this study, the micron-scale wavelength and the decay lengths in liquid result in a highly localized sense volume with the added potential for high temporal resolution and sensitivity. The amplitude of the back reflected pulse is related to the acoustic impedance of the medium and a function of ionic species concentration of the KCl, NaCl, and CaCl
    Language English
    Publishing date 2023-05-19
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2023.106907
    Database MEDical Literature Analysis and Retrieval System OnLINE

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