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1.
Pathogens ; 12(2)2023 Feb 15.
Article in English | MEDLINE | ID: covidwho-2252745

ABSTRACT

Infectious diseases remain a major threat to public health [...].

2.
Diagnostics (Basel) ; 12(6)2022 Jun 20.
Article in English | MEDLINE | ID: covidwho-1979155

ABSTRACT

The world is grappling with the coronavirus disease 2019 (COVID-19) pandemic, the causative agent of which is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 symptoms are similar to the common cold, including fever, sore throat, cough, muscle and chest pain, brain fog, dyspnoea, anosmia, ageusia, and headache. The manifestation of the disease can vary from being asymptomatic to severe life-threatening conditions warranting hospitalization and ventilation support. Furthermore, the emergence of mutecated variants of concern (VOCs) is paramount to the devastating effect of the pandemic. This highly contagious virus and its emergent variants challenge the available advanced viral diagnostic methods for high-accuracy testing with faster result yields. This review is to shed light on the natural history, pathology, molecular biology, and efficient diagnostic methods of COVID-19, detecting SARS-CoV-2 in collected samples. We reviewed the gold standard RT-qPCR method for COVID-19 diagnosis to confer a better understanding and application to combat the COVID-19 pandemic. This comprehensive review may further develop awareness about the management of the COVID-19 pandemic.

3.
Diagnostics ; 12(6):1503, 2022.
Article in English | MDPI | ID: covidwho-1893930

ABSTRACT

The world is grappling with the coronavirus disease 2019 (COVID-19) pandemic, the causative agent of which is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). COVID-19 symptoms are similar to the common cold, including fever, sore throat, cough, muscle and chest pain, brain fog, dyspnoea, anosmia, ageusia, and headache. The manifestation of the disease can vary from being asymptomatic to severe life-threatening conditions warranting hospitalization and ventilation support. Furthermore, the emergence of mutecated variants of concern (VOCs) is paramount to the devastating effect of the pandemic. This highly contagious virus and its emergent variants challenge the available advanced viral diagnostic methods for high-accuracy testing with faster result yields. This review is to shed light on the natural history, pathology, molecular biology, and efficient diagnostic methods of COVID-19, detecting SARS-CoV-2 in collected samples. We reviewed the gold standard RT-qPCR method for COVID-19 diagnosis to confer a better understanding and application to combat the COVID-19 pandemic. This comprehensive review may further develop awareness about the management of the COVID-19 pandemic.

4.
Pathogens ; 10(8)2021 Aug 18.
Article in English | MEDLINE | ID: covidwho-1360803

ABSTRACT

As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic since the 1918 flu. The main challenges in mitigating COVID-19 are effective vaccination, treatment, and agile containment strategies. In this review, we focus on the potential of Artificial Intelligence (AI) in COVID-19 surveillance, diagnosis, outcome prediction, drug discovery and vaccine development. With the help of big data, AI tries to mimic the cognitive capabilities of a human brain, such as problem-solving and learning abilities. Machine Learning (ML), a subset of AI, holds special promise for solving problems based on experiences gained from the curated data. Advances in AI methods have created an unprecedented opportunity for building agile surveillance systems using the deluge of real-time data generated within a short span of time. During the COVID-19 pandemic, many reports have discussed the utility of AI approaches in prioritization, delivery, surveillance, and supply chain of drugs, vaccines, and non-pharmaceutical interventions. This review will discuss the clinical utility of AI-based models and will also discuss limitations and challenges faced by AI systems, such as model generalizability, explainability, and trust as pillars for real-life deployment in healthcare.

5.
Current Research in Green and Sustainable Chemistry ; : 100097, 2021.
Article in English | ScienceDirect | ID: covidwho-1193282

ABSTRACT

Over decades dependency of humans on the drugs has become indispensable and irreplaceable. Thus, each year many new drugs are licensed. Nonetheless, drugs undergo rigorous testing and analysis to be available globally in economic price for the suitability of patients with different age and physiological conditions. The testing of drugs include phase I clinical trial using small group of 20-100 healthy volunteers for safety, pharmacology and efficacy;phase II clinical trial using 100-500 volunteer patients to optimize effective dose, dose interval, safety analysis and mode of delivery such as oral or intravenous;phase III clinical trial using 1000-5000 in a larger population of patients globally at different international places to collect sufficient safety and efficacy data for patenting and licencing. Moreover, thousands of drugs fail to achieve these objectives. Therefore, this mini-review intends to critically examine and assimilate the clinical applications of selected complex repurposed small drug molecules which are in different phase of trials for treating viral infection including complications due to COVID-19: (a) Remdesivir, (b) Galidesivir, (c) Favipiravir, (d) Baricitinib, and (e) Baloxavir.

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