Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants

Chavda, Vivek P.; Valu, Disha; Parikh, Palak K.; Tiwari, Nikita; Chhipa, Abu Sufiyan; Shukla, Somanshi; Patel, Snehal S.; Balar, Pankti C.; Paiva‐Santos, Ana Cláudia; Patravale, Vandana

doi:10.3390/vaccines11020374

Cited by 21 publications

(6 citation statements)

References 166 publications

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“…False positives and false negatives are also potential issues (Khan et al 2022 ). Nevertheless, RT-PCR based detection is still worthy of further improvement and exploration (Chavda et al 2023 ).…”

Section: Molecular Biological Detectionmentioning

confidence: 99%

A review of current effective COVID-19 testing methods and quality control

et al. 2023

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COVID-19 is a highly infectious disease caused by the SARS-CoV-2 virus, which primarily affects the respiratory system and can lead to severe illness. The virus is extremely contagious, early and accurate diagnosis of SARS-CoV-2 is crucial to contain its spread, to provide prompt treatment, and to prevent complications. Currently, the reverse transcriptase polymerase chain reaction (RT-PCR) is considered to be the gold standard for detecting COVID-19 in its early stages. In addition, loop-mediated isothermal amplification (LMAP), clustering rule interval short palindromic repeats (CRISPR), colloidal gold immunochromatographic assay (GICA), computed tomography (CT), and electrochemical sensors are also common tests. However, these different methods vary greatly in terms of their detection efficiency, specificity, accuracy, sensitivity, cost, and throughput. Besides, most of the current detection methods are conducted in central hospitals and laboratories, which is a great challenge for remote and underdeveloped areas. Therefore, it is essential to review the advantages and disadvantages of different COVID-19 detection methods, as well as the technology that can enhance detection efficiency and improve detection quality in greater details.

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Section: Molecular Biological Detectionmentioning

confidence: 99%

A review of current effective COVID-19 testing methods and quality control

et al. 2023

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“…Newer approaches have the advantage of the ease in modification and sensitivity to tiny antigens. 42 , 43 …”

Section: Future Perspective and Conclusionmentioning

confidence: 99%

Seminal fluid changes in the COVID-19 era: During infection and Post-vaccination

Nori¹,

Salman²

2023

gocm

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Coronavirus disease 2019 (COVID-19) predilection for angiotensin-converting enzyme 2 (ACE2) receptors allows its entrance and replication; however, they are not biochemically required for viral fusion into the cell membrane. Testicular tissue has abundant ACE2 receptors, making it a target for the COVID-19 virus. Seminal fluid parameters are measures of male fertility. Changes in semen parameters have been caused by coronavirus disease and vaccines. Some attribute that effect to direct hematogenic spread to the testis; others propose that the excessive immunological response triggered by the infection causes a deleterious effect. An unsubstantiated claim questioned whether the SARS-CoV-2 vaccine could trigger an unintentional immunological response that would impair male fertility once receiving the vaccine. Extensive research confirms the transient nature of those changes that affect sperm motility and count with full recovery post-COVID-19 infection and after vaccination. The vaccine's safety was reaffirmed; however, there are currently no recommendations for screening sperm donors. Research is warranted to guarantee the safety of couples undergoing assisted reproduction.

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“…Several pharmaceutical industries are anticipating further advancements in their supply chain, as well as innovative models to address these challenges, with the potential to enhance business resilience [ 6 ]. The global outbreak of coronavirus disease 2019 (COVID-19) has caused significant disruptions to various operations worldwide, including ongoing clinical trials [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Vora,

Gholap,

Jetha

et al. 2023

Pharmaceutics

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242

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Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery, formulation, and testing of pharmaceutical dosage forms. By utilizing AI algorithms that analyze extensive biological data, including genomics and proteomics, researchers can identify disease-associated targets and predict their interactions with potential drug candidates. This enables a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful drug approvals. Furthermore, AI can contribute to reducing development costs by optimizing research and development processes. Machine learning algorithms assist in experimental design and can predict the pharmacokinetics and toxicity of drug candidates. This capability enables the prioritization and optimization of lead compounds, reducing the need for extensive and costly animal testing. Personalized medicine approaches can be facilitated through AI algorithms that analyze real-world patient data, leading to more effective treatment outcomes and improved patient adherence. This comprehensive review explores the wide-ranging applications of AI in drug discovery, drug delivery dosage form designs, process optimization, testing, and pharmacokinetics/pharmacodynamics (PK/PD) studies. This review provides an overview of various AI-based approaches utilized in pharmaceutical technology, highlighting their benefits and drawbacks. Nevertheless, the continued investment in and exploration of AI in the pharmaceutical industry offer exciting prospects for enhancing drug development processes and patient care.

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Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants

Cited by 21 publications

References 166 publications

A review of current effective COVID-19 testing methods and quality control

A review of current effective COVID-19 testing methods and quality control

Seminal fluid changes in the COVID-19 era: During infection and Post-vaccination

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

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