Publications by authors named "Yahya Aldawood"

The purpose of this review is to give an up-to-date, thorough, and timely overview of monkeypox (Mpox), a severe infectious viral disease. Furthermore, this review provides an up-to-date treatment option for Mpox. The monkeypox virus (MPXV) has remained the most virulent poxvirus for humans since the elimination of smallpox approximately 41 years ago, with distribution mainly in central and west Africa.

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Leishmaniasis is a zoonotic disease transmitted in humans by the bite of -infected phlebotomine sandflies. Each year approximately 58,500 cases of leishmaniasis are diagnosed across the globe, with a mortality rate of nearly seven percent. There are over 20 parasitic strains of which are known to cause distinct types of leishmaniasis and pose an endemic threat to humans worldwide.

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In recent years, we are facing the challenge of drug resistance emergence in fungi. The availability of limited antifungals and development of multi-drug resistance in fungal pathogens has become a serious concern in the past years in the health sector. Although several cellular, molecular, and genetic mechanisms have been proposed to explain the drug resistance mechanism in fungi, but a complete understanding of the molecular and genetic mechanisms is still lacking.

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Article Synopsis
  • Conventional cancer treatments like chemotherapy and radiotherapy can be effective but often lead to serious side effects and resistance, highlighting the need for safer options in cancer therapy.
  • Nanomaterials are being researched in cancer nanotheranostics to combine detection and treatment, facilitating better diagnosis, imaging, dosage, and monitoring of therapeutic effectiveness.
  • This review discusses the properties of various metal-based nanotheranostic systems, their clinical pros and cons, and suggests future research paths to improve the safety and effectiveness of these nanoparticles in cancer treatment.
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As medical science and technology progress towards the era of "big data", a multi-dimensional dataset pertaining to medical diagnosis and treatment is becoming accessible for mathematical modelling. However, these datasets are frequently inconsistent, noisy, and often characterized by a significant degree of redundancy. Thus, extensive data processing is widely advised to clean the dataset before feeding it into the mathematical model.

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