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ZENODO
Journal . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
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A Review On Infectious Diseases Pharmacology

Authors: K Malleswari; DR.D. Rama Brahma Reddy; Shaik Shairabhanu; S Venkata Naveena; SD. Ruksana parveen;

A Review On Infectious Diseases Pharmacology

Abstract

ABSTRACT Infectious diseases caused 13.2 million deaths in 2023, with antimicrobial resistance (AMR) contributing 1.3 million deaths annually and posing a $100 trillion economic threat by 2050. This review explores advancements in infectious diseases pharmacology, including AMR mechanisms, novel therapeutics, pharmacokinetics/pharmacodynamics (PK/PD), antimicrobial stewardship, genomic surveillance, artificial intelligence (AI) in drug discovery, global health policies, pandemic preparedness, vaccine development, One Health approaches, and clinical case studies. Innovations like cefiderocol, mRNA vaccines, bacteriophage therapies, and AI-driven drug design, supported by clinical trials, address resistant pathogens. Images of diseases like tuberculosis, Candida auris, and MRSA, integrated within relevant sections, enhance clinical understanding. Integrated strategies are vital to combat AMR and improve global health. Keywords: Infectious diseases, Antimicrobial resistance (AMR), Pharmacology, Novel therapeutics, Pharmacokinetics/pharmacodynamics (PK/PD), Artificial intelligence (AI), Antimicrobial stewardship, Vaccine development, Genomic surveillance, One Health.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average