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

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.

Deep tech innovation for parasite diagnosis: New dimensions and opportunities.

By converging advanced science, engineering, and design, deep techs are bringing a great wave of future innovations by mastering challenges and problem complexity across sectors and the field of parasitology is no exception. Remarkable research and advancements can be seen in the field of parasite detection and diagnosis through smartphone applications. Supervised and unsupervised data deep learnings are heavily exploited for the development of automated neural network models for the prediction of parasites, eggs, etc.

Climate adaptation impacting parasitic infection.

The steady and ongoing change in climatic patterns across the globe is triggering a cascade of climate-adaptive phenomena, both genetic and behavioral in parasites, and influencing the host-pathogen-transmission triangle. Parasite and vector traits are now heavily influenced due to increasing temperature that almost dissolved geospatial boundaries and impacted the basic reproductive number of parasites. As consequence, continents unknown to some parasites are experiencing altered distribution and abundance of new and emerging parasites that are developing into a newer epidemiological model.

Molecular characterization of assemblages in children among the rural and urban population of Pondicherry, India.

Introduction: Giardiasis is one of the greatest public parasitic infections causing diarrheal and also known to be associated with high morbidity and mortality, among the children's particularly in developing countries with less cleanliness practices. Thus, studying genomic variety of aids to improve our perspective related to the variability in the genome of the parasite.

Materials And Methods: In this cross-sectional study, 1006 stool samples were collected from the rural ( = 500) and urban settings ( = 506) from the children (<15 years) with and without symptoms and were screened for the presence of by polymerase chain reaction (PCR) targeting triosephosphate isomerase gene.

: An opportunistic, free-living ameba - An updated review.

is an opportunistic, free-living ameba that is pathogenic to humans. It has a worldwide distribution but is mainly detected in warmer regions. infections are rare but have been reported in both immunocompetent and immunocompromised individuals of all ages.

Molecular diagnosis of infectious parasites in the post-COVID-19 era.

The endemicity of several parasitic diseases across the globe and recent evidence of distress among COVID-19 patients with preexisting parasitic infections requires strengthening One Health framework and advanced strategies for parasitic detection. Owing to the greater sensitivity and accuracy, molecular technologies such as conventional polymerase chain reaction (PCR), reverse transcription (RT)-PCR, nested PCR, loop-mediated isothermal amplification (LAMP), and xMAP technology have been extensively studied for parasitic diagnosis. Varieties of genes have been targeted for primer development where 18S rRNA, internal transcribed spacer regions, and mitochondrial DNAs coding for cytochrome, and other enzymes have been widely used.

Pondicherry declaration on the identification and detection of .

Stake holders meet on "Identification and Detection of " was conducted on July 21, 2019 at Sri Balaji Vidyapeeth Deemed-to-be-University, Pondicherry. This programme was of national importance, since the amoebiasis is being increasingly reported from different parts of India because of poor socioeconomic conditions and sanitation levels. Experts in amoebiasis research across India attended this meeting.

: A new flagellate causing respiratory tract infections.

is a flagellate protozoan parasite which was originally described as a commensal in the gut of cockroaches. From the 1990s, reports started coming out of peoples Republic of China about its possible role in bronchopulmonary infections, and this was followed by reports from some other parts of the world as well. There had been some skepticism regarding the misidentification of bronchial ciliated epithelial cells as , but recent use of molecular diagnosis has come as an aid in clearing the controversy.

Narciclasine improves outcome in sepsis among neonatal rats via inhibition of calprotectin and alleviating inflammatory responses.

Sepsis is associated with exacerbated inflammatory response which subsequently results in multiple organ dysfunction. Sepsis accounts for high mortality and morbidity among newborns worldwide. Narciclasine is a plant alkaloid which has shown to possess anti-inflammatory properties.

Detection of heterogeneous vancomycin-intermediate : A preliminary report from south India.

Background & Objectives: Although there are reports of heterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) across the globe, there is a lack of reliable data on hVISA in India. The present study was undertaken to determine the rate of hVISA among the methicillin-resistant Staphylococcus aureus (MRSA) isolates, and to compare the brain heart infusion agar with vancomycin 4 μg/ml (BHIV4) method with population analysis profile-area under the curve (PAP-AUC) method for the detection of hVISA and to study the distribution of mobile genetic element that carries methicillin-resistance gene SCCmec (Staphylococcal cassette chromosome mec) types among these isolates.

Methods: BHIV4 and PAP-AUC methods were employed to detect hVISA among 500 clinical isolates of MRSA.

Genetic diversity of Indian isolates based on the analysis of polymorphic marker.

Background: Malaria is one of the major communicable diseases in India and worldwide. is a highly polymorphic gene due to its large insertions and deletions in the central alanine-rich region, which, in turn, makes it a valuable marker for population genetic analysis. Very few studies are available from India about the genetic diversity of based on gene, and hence, this study was designed to understand the molecular diversity of the malaria parasite.

Molecular characterization of extended-spectrum β-lactamases among clinical isolates of & : A multi-centric study from tertiary care hospitals in India.

Background & Objectives: The increasing prevalence of extended-spectrum β-lactamases (ESBLs) has abated therapeutic options worldwide. This study was undertaken to investigate the molecular profile and resistance patterns of ESBLs among clinical isolates of Escherichia coli and Klebsiella pneumoniae at four tertiary care centres in India.

Methods: Clinical isolates of E.