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Alicia Alva Mantari

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Alicia Katherine Alva Mantari
Born
Alma materNational University of Engineering
Scientific career
InstitutionsCayetano Heredia University

Alicia Katherine Alva Mantari is a Peruvian specialist in biomedical informatics and telemedicine.[1] She holds a master's degree with focus on global health and has been actively involved in telemedicine projects since 2008, leading tele-diagnosis systems projects for diseases such as tuberculosis[2] and melanoma.[3]

For ten years, she was a member of the Bioinformatics and Molecular Biology Laboratory at Cayetano Heredia University (Universidad Peruana Cayetano Heredia; UPCH) .[1]

Alva has been involved in national research projects focused on health technology, including initiatives to combat COVID-19[4][5] and studies on heavy metal contamination.[6][7] Her work has contributed to the advancement of telemedicine in Peru, improving healthcare accessibility in remote areas.

Biography

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Early years and education

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Alicia Alva studied in Alcides Spelucín Vega School in Callao, where she participated in mathematics competitions and developed an interest in science. Later on, she studied mathematics at the National University of Engineering (Universidad Nacional de Ingeniería; UNI), where she developed analytical and computational thinking. [1]

During her master's studies, she participated on a project to develop an algorithm for tuberculosis detection.[2] Her programming studies led her to be a member of the molecular biology laboratory at UPCH.[1]

She earned a master's degree in biomedical informatics at UPCH, in collaboration with the University of Washington through a QUIPU program scholarship.[1]

Career

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As a researcher at the University of Sciences and Humanities [es], she was one of the winners of CONCYTEC [es] funding in 2020 with her project SAMAYCOV, a portable device designed to assess the risk of pneumonia in patients suspected of having COVID-19 by detecting sounds. It converts these sounds into electrical signals, which are then processed by a Python-based program.[5]

In 2022, Alva developed Soft-Warmi, an automated software for diagnosing bacterial vaginosis (BV). This research was part of her master's thesis at UPCH, in collaboration with the University of Washington. The main objective of the project was to improve the accuracy and accessibility of BV diagnosis using pattern recognition algorithms to analyze microscopic images of vaginal smears.[8]

In 2024, she participated in the creation of Yanadevn, an early dengue diagnostic system developed by researchers at the University of Sciences and Humanities in collaboration with UPCH and regional hospitals. The device uses CRISPR/Cas13 technology to detect the presence of dengue RNA in blood.[9][10]

Research and publications

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She co-authored the study "Implementation of a telediagnostic system for tuberculosis and determination of multi-drug resistance based on the MODS method in Trujillo, Peru". It focused on developing a remote diagnostic system for tuberculosis and multidrug resistance (MDR) using the MODS method. It optimized an image recognition algorithm to detect Mycobacterium tuberculosis in digital MODS culture images from the CENEX-Trujillo laboratory.[2]

She also participated in the development of Mathematical algorithms for the automatic recognition of intestinal parasites, which was a tool for detecting intestinal parasites in microscopic images of fecal smears. The study implemented an image processing algorithm in SCILAB, capable of identifying Taenia sp., Trichuris trichiura, Diphyllobothrium latum, and Fasciola hepatica.[11]

Awards and recognitions

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  • She won the "Special Projects: COVID-19 Response" 2020 competition by Concytec for the SAMAYCOV project, a device designed to assess COVID-19 risk related to lung damage.[12]
  • She won the II National Innotec Competition 2010, for the development of a tele-diagnosis system for multidrug-resistant tuberculosis (TB-MDR), capable of providing results in less than 15 seconds.[13]

References

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  1. ^ a b c d e "Ficha RENACYT" (in Spanish). CONCYTEC. Retrieved 1 March 2025.
  2. ^ a b c "Implementation of a telediagnostic system for tuberculosis and determination of multi-drug resistance based in the MODS method in Trujillo, Peru". Revista Peruana de Medicina Experimental y Salud Publica. 31 (3): 445-453. 1 July 2014. PMID 25418641. Retrieved 24 February 2025.
  3. ^ "Presentan en Arequipa aplicativo móvil para detectar cáncer de piel" [Mobile application to detect skin cancer presented in Arequipa] (in Spanish). Andina. 21 June 2018. Retrieved 22 February 2025.
  4. ^ "Implementation of a Thermal Image Processing System to Detect Possible Cases of Patients with COVID-19" (PDF). International Journal of Emerging Technology and Advanced Engineering. 11 (11). Universidad de Ciencias y Humanidades & Av. Universitaria 5175, Los Olivos: 130-139. November 2021. doi:10.46338/ijetae1121_15. ISSN 2250-2459. Retrieved 2 March 2025.
  5. ^ a b "UCH presenta desarrollo de Samaycov en taller de vinculación de Prociencia" [UCH presents Samaycov development at Prociencia's linkage workshop] (in Spanish). Universidad de Ciencias y Humanidades. 25 May 2022. Retrieved 22 February 2025.
  6. ^ "Researchers develop platform for early detection of heavy metals in blood" (in Spanish). Andina. 9 December 2024. Retrieved 22 February 2025.
  7. ^ "Implementation of a Prototype of an Electronic Device for Measuring Lead Calculation in Blood". International Journey of Online and Biomedical Engineering. 20 (16). 19 December 2024. doi:10.3991/ijoe.v20i16.52861. ISSN 2626-8493. Retrieved 2 March 2025.
  8. ^ "Soft-Warmi: evaluación del software automático de diagnóstico para vaginosis bacteriana (VB)" [Soft-Warmi: evaluation of automated diagnostic software for bacterial vaginosis (BV)]. Cayetano Heredia University. 2022. Retrieved 24 February 2025.
  9. ^ "Investigadores de UCH avanzan desarrollo de sistema para diagnóstico temprano de dengue" [UCH researchers advance development of system for early diagnosis of dengue fever] (in Spanish). Andina. 19 October 2024. Retrieved 22 February 2025.
  10. ^ "Sistema de detección temprana de dengue capta la atención de medios nacionales" [Dengue early detection system captures national media attention] (in Spanish). Universidad de Ciencias y Humanidades. 11 May 2024. Retrieved 22 February 2025.
  11. ^ "Mathematical algorithm for the automatic recognition of intestinal parasites". National Library of Medicine. 14 (4). 14 April 2017. doi:10.1371/journal.pone.0175646. PMID 28410387. Retrieved 24 February 2025.
  12. ^ "Coronavirus: dispositivo permitirá evaluar riesgo de COVID-19 relacionado a daño pulmonar" [Coronavirus: Device will assess COVID-19 risk related to lung damage] (in Spanish). Andina. 6 June 2020. Retrieved 3 March 2025.
  13. ^ "Perú: Crean sistema de telediagnóstico de tuberculosis" [Peru: A tele-diagnosis system for tuberculosis is created] (in Spanish). Andina. 18 July 2010. Retrieved 3 March 2025.
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