An Updates on Medical Mycology Big Data Analytics and Antifungal Therapies
Keywords:
Fungal Infection, Antifungal Therapy, Artificial Intelligence, CRISPR Technology, RT-PCR, Microbiome Therapeutics, NanobiotechnologyAbstract
The global burden of fungal diseases is increasing and pathogens are rapidly mutating, posing new threats to human health, particularly in immunocompromised cancer patients, COVID-19 patients, and HIV/AIDS patients. With the millions of clinical data points and increasing use of high-throughput screening of pathogen genomes, research based on medical big data analytics, data mining, and visualization analysis has gradually become challenge for new infectious disease prediction, diagnosis, and the development of antifungal therapy. To date, research has been reported on data analytics in the diagnosis and treatment of fungal allergic contact dermatitis most important. Our study indicates climate as a significant driver of various aspects of fungal infection, including the diversity of fungal communities and the global distribution of common pathogenic fungi, the findings indicated that medical bioinformatics tools and medical mycology big data analytics are useful for the rapid and reliable diagnosis of new fungal diseases. Also many advanced technology have been developed for the detection of new fungal species using rDNA, cutting-edge molecular diagnostic techniques like RT-PCR, DNA barcoding, biosensor technology, Next Generation Sequencing (NGS) technology, CRISPR technology, biosensing, and nanobiotechnology. Modern treatments, including antifungal pharmacotherapy, antifungal chemotherapy, systematic pharmacotherapy, herbal treatment therapy, and antihistamine therapy and the treatment of fungal allergic contact dermatitis have been developed and are very successful in treating human fungal disease.
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