Climate adaptation impacting parasitic infection

Parija, Subhash Chandra

doi:10.4103/tp.tp_32_22

Cited by 3 publications

(2 citation statements)

References 20 publications

(20 reference statements)

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“…In these, global warming is facilitating the geographical spread of parasites, especially those that are vector borne. [ 31 ] The health security stress from these emerging parasitic infections is more for resource-poor settings where traditional diagnostics are either resource intensive, unsuitable for field deployment, or lack sensitivity.…”

Section: Artificial Intelligence-based Diagnosticsmentioning

confidence: 99%

Artificial intelligence in parasitic disease control: A paradigm shift in health care

Parija,

Poddar

2024

Tropical Parasitology

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Parasitic diseases, including malaria, leishmaniasis, and trypanosomiasis, continue to plague populations worldwide, particularly in resource-limited settings and disproportionately affecting vulnerable populations. It has limited the use of conventional health-care delivery and disease control approaches and necessitated exploring innovative strategies. In this direction, artificial intelligence (AI) has emerged as a transformative tool with immense promise in parasitic disease control, offering the potential for enhanced diagnostics, precision drug discovery, predictive modeling, and personalized treatment. Predictive AI algorithms have assisted in understanding parasite transmission patterns and outbreaks by analyzing vast amounts of epidemiological data, environmental factors, and population demographics. This has strengthened public health interventions, resource allocation, and outbreak preparedness strategies, enabling proactive measures to mitigate disease spread. In diagnostics, AI-enabled accurate and rapid identification of parasites by analyzing microscopic images. This capability is particularly valuable in remote regions with limited access to diagnostic facilities. AI-driven computational methods have also assisted in drug discovery for parasitic diseases by identifying novel drug targets and predicting the efficacy and safety of potential drug candidates. This approach has streamlined drug development, leading to more effective and targeted therapies. This article reviews these current developments and their transformative impacts on the health-care sector. It also assessed the hurdles that require attention before these transformations can be realized in real-life scenarios.

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Section: Artificial Intelligence-based Diagnosticsmentioning

confidence: 99%

Artificial intelligence in parasitic disease control: A paradigm shift in health care

Parija,

Poddar

2024

Tropical Parasitology

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“…The presidential oration article gives us an overview of a very important and of topical interest concerning the impact of climatic changes affecting parasitic infections. [ 1 ] Two of the original articles, one from India and another from Egypt, deal with the molecular characterization of Giardia intestinalis . [ 2 3 ] The importance of oxidative stress due to malarial infection in pregnancy has been described in an original article,[ 4 ] whereas another article has investigated the various modalities for the diagnosis of visceral leishmaniasis.…”

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confidence: 99%

From microbes to molecules

Parija

2022

Trop Parasitol

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Effective Laboratory Diagnosis of Parasitic Infections of the Gastrointestinal Tract: Where, When, How, and What Should We Look For?

Dąbrowska,

Groblewska,

Bendykowska

et al. 2024

Diagnostics

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(1) Introduction: Gastrointestinal parasites (GIPs) are one of the most common causes of disease in the world. Clinical diagnosis of most parasitic diseases is difficult because they do not produce characteristic symptoms. (2) Methods: The PubMed, Science Direct, and Wiley Online Library medical databases were reviewed using the following phrases: “parasitic infections and diagnostics”, “intestinal parasites”, “gastrointestinal parasites”, “parasitic infections and diagnostics”, and their combinations. (3) Results and Conclusions: Correct diagnosis of GIP involves determining the presence of a parasite and establishing a relationship between parasite invasion and disease symptoms. The diagnostic process should consider the possibility of the coexistence of infection with several parasites at the same time. In such a situation, diagnostics should be planned with consideration of their frequency in each population and the local epidemiological situation. The importance of the proper interpretation of laboratory test results, based on good knowledge of the biology of the parasite, should be emphasized. The presence of the parasite may not be causally related to the disease symptoms. Due to wide access to laboratories, patients often decide to perform tests themselves without clinical justification. Research is carried out using various methods which are often unreliable. This review briefly covers current laboratory methods for diagnosing the most common gastrointestinal parasitic diseases in Europe. In particular, we provide useful information on the following aspects: (i) what to look for and where to look for it (suitability of feces, blood, duodenal contents, material taken from endoscopy or biopsy, tissue samples, and locations for searching for eggs, cysts, parasites, parasite genetic material, and characteristics of immune responses indicating parasitic infections); (ii) when material should be collected for diagnosis and/or to check the effectiveness of treatment; (iii) how—that is, by what methods—laboratory diagnostics should be carried out. Here, the advantages and disadvantages of direct and indirect methods of detecting parasites will be discussed. False-positive or false-negative results are a problem facing many tests. Available tests have different sensitivities and specificities. Therefore, especially in doubtful situations, tests for the presence of the pathogen should be performed using various available methods. It is important that the methods used make it possible to distinguish an active infection from a past infection. Finally, we present laboratory “case reports”, in which we will discuss the diagnostic procedure that allows for the successful identification of parasites. Additionally, we briefly present the possibilities of using artificial intelligence to improve the effectiveness of diagnosing parasitic diseases.

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Climate adaptation impacting parasitic infection

Cited by 3 publications

References 20 publications

Artificial intelligence in parasitic disease control: A paradigm shift in health care

Artificial intelligence in parasitic disease control: A paradigm shift in health care

From microbes to molecules

Effective Laboratory Diagnosis of Parasitic Infections of the Gastrointestinal Tract: Where, When, How, and What Should We Look For?

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