{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T13:01:01Z","timestamp":1792501261954,"version":"4.5.0"},"reference-count":58,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"19","content-domain":{"domain":["www.science.org"],"crossmark-restriction":true},"short-container-title":["Sci. Adv."],"published-print":{"date-parts":[[2024,5,10]]},"abstract":"<jats:p>\n            Mosquito-borne diseases like malaria are rising globally, and improved mosquito vector surveillance is needed. Survival of\n            <jats:italic>Anopheles<\/jats:italic>\n            mosquitoes is key for epidemiological monitoring of malaria transmission and evaluation of vector control strategies targeting mosquito longevity, as the risk of pathogen transmission increases with mosquito age. However, the available tools to estimate field mosquito age are often approximate and time-consuming. Here, we show a rapid method that combines matrix-assisted laser desorption\/ionization\u2013time-of-flight mass spectrometry with deep learning for mosquito age prediction. Using 2763 mass spectra from the head, legs, and thorax of 251 field-collected\n            <jats:italic>Anopheles arabiensis<\/jats:italic>\n            mosquitoes, we developed deep learning models that achieved a best mean absolute error of 1.74 days. We also demonstrate consistent performance at two ecological sites in Senegal, supported by age-related protein changes. Our approach is promising for malaria control and the field of vector biology, benefiting other disease vectors like\n            <jats:italic>Aedes<\/jats:italic>\n            mosquitoes.\n          <\/jats:p>","DOI":"10.1126\/sciadv.adj6990","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T17:58:45Z","timestamp":1715363925000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":19,"title":["Predicting the age of field\n            <i>Anopheles<\/i>\n            mosquitoes using mass spectrometry and deep learning"],"prefix":"10.1126","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3891-0216","authenticated-orcid":true,"given":"Noshine","family":"Mohammad","sequence":"first","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, IPLESP, AP-HP, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, Service de Parasitologie-Mycologie, 75013 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5421-3170","authenticated-orcid":true,"given":"Pauline","family":"Naudion","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, IPLESP, AP-HP, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, Service de Parasitologie-Mycologie, 75013 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6467-7625","authenticated-orcid":true,"given":"Abdoulaye Kane","family":"Dia","sequence":"additional","affiliation":[{"name":"Laboratoire d'Ecologie Vectorielle et Parasitaire (LEVP), Facult\u00e9 des Sciences et Techniques, Universit\u00e9 Cheikh Anta Diop de Dakar, BP 5005 Dakar, Senegal."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5367-8232","authenticated-orcid":true,"given":"Pierre-Yves","family":"Bo\u00eblle","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Institut Pierre Louis d'\u00c9pid\u00e9miologie et de Sant\u00e9 Publique, IPLESP, 75012 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdoulaye","family":"Konat\u00e9","sequence":"additional","affiliation":[{"name":"Laboratoire d'Ecologie Vectorielle et Parasitaire (LEVP), Facult\u00e9 des Sciences et Techniques, Universit\u00e9 Cheikh Anta Diop de Dakar, BP 5005 Dakar, Senegal."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0397-640X","authenticated-orcid":true,"given":"Lassana","family":"Konat\u00e9","sequence":"additional","affiliation":[{"name":"Laboratoire d'Ecologie Vectorielle et Parasitaire (LEVP), Facult\u00e9 des Sciences et Techniques, Universit\u00e9 Cheikh Anta Diop de Dakar, BP 5005 Dakar, Senegal."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5611-1998","authenticated-orcid":true,"given":"El Hadji Amadou","family":"Niang","sequence":"additional","affiliation":[{"name":"Laboratoire d'Ecologie Vectorielle et Parasitaire (LEVP), Facult\u00e9 des Sciences et Techniques, Universit\u00e9 Cheikh Anta Diop de Dakar, BP 5005 Dakar, Senegal."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renaud","family":"Piarroux","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, IPLESP, AP-HP, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, Service de Parasitologie-Mycologie, 75013 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xavier","family":"Tannier","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Universit\u00e9 Sorbonne Paris Nord, Laboratoire d\u2019Informatique M\u00e9dicale et d\u2019Ing\u00e9nierie des Connaissances pour la e-Sant\u00e9, LIMICS, 75006 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7866-6468","authenticated-orcid":true,"given":"C\u00e9cile","family":"Nabet","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, Inserm, Institut Pierre-Louis d\u2019Epid\u00e9miologie et de Sant\u00e9 Publique, IPLESP, AP-HP, Groupe Hospitalier Piti\u00e9-Salp\u00eatri\u00e8re, Service de Parasitologie-Mycologie, 75013 Paris, France."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"221","reference":[{"key":"e_1_3_2_2_2","unstructured":"World Health Organization Global Vector Control Response 2017\u20132030 (World Health Organization 2017); 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