¡Somos Eliza y Elizabeth! Dos biólogas apasionadas por la divulgación científica. Creamos un podcast para hablar sobre las cosas ñoñas y divertidas de la ciencia y la naturaleza.
@otropodcastdeciencia
Otro Podcast de Ciencia
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Podcast Overview
¡Somos Eliza y Elizabeth! Dos biólogas apasionadas por la divulgación científica. Creamos un podcast para hablar sobre las cosas ñoñas y divertidas de la ciencia y la naturaleza. @otropodcastdeciencia
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Publishing Since
2/24/2020
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Recent Episodes
May 28, 2026
Desarrollo sin conectividad ecológica: el impacto de las autopistas en Colombia
<p>En este episodio conversamos con Rubén Torres sobre los impactos que tienen las autopistas en la pérdida de conectividad ecológica y el movimiento de la fauna silvestre. A partir del caso de la Autopista al Río Magdalena, hablamos sobre cómo este tipo de megaproyectos transforman los paisajes, fragmentan los ecosistemas y representan nuevos retos para la conservación de la biodiversidad.A nuestro invitado lo encuentran en Instagram como @ Mrbencho</p>
May 8, 2026
La biodiversidad en la película Río
<p>En este episodio exploramos la biodiversidad detrás de la película Río. Analizamos a las especies y ecosistemas de Brasil que inspiraron la historia, los peligros del tráfico de fauna y los enormes retos de conservar especies amenazadas como es el caso de las guacamayas azules. Cine y ciencia, dos cosas que nos encantan.REFRENCIASCharpentreau, C. (2025, octubre). Virus outbreak deepens rift over return of Spix’s macaw to Brazil. Mongabay. <a href="https://news.mongabay.com/2025/10/virus-outbreak-deepens-rift-over-return-of-spixs-macaw-to-brazil/" rel="noopener noreferrer">https://news.mongabay.com/2025/10/virus-outbreak-deepens-rift-over-return-of-spixs-macaw-to-brazil/</a>del Hoyo, J., Elliott, A., Sargatal, J., Christie, D. A., & de Juana, E. (eds.). (2024). Spix’s Macaw (Cyanopsitta spixii). Birds of the World. Cornell Lab of Ornithology. <a href="https://birdsoftheworld.org/bow/species/spimac1/cur/introduction?lang=es" rel="noopener noreferrer">https://birdsoftheworld.org/bow/species/spimac1/cur/introduction?lang=es</a>Gomides, S. C., Machado, T. M., Evangelista‐Vale, J. C., Martins‐Oliveira, A. T., Pires‐Oliveira, J. C., Muller, A., Barros da Rosa, L., Santos‐Silva, D. L., & Eisenlohr, P. V. (2021). Assessing species reintroduction sites based on future climate suitability for food resources. Conservation Biology, 35(6), 1821–1830. <a href="https://doi.org/10.1111/cobi.13796" rel="noopener noreferrer">https://doi.org/10.1111/cobi.13796</a>International Union for Conservation of Nature (IUCN). (2020). Cyanopsitta spixii. The IUCN Red List of Threatened Species 2020. <a href="https://www.iucnredlist.org/species/22685533/153022606" rel="noopener noreferrer">https://www.iucnredlist.org/species/22685533/153022606</a>Klump, B. C., Major, R. E., Farine, D. R., Martin, J. M., & Aplin, L. M. (2022). Is bin-opening in cockatoos leading to an innovation arms race with humans? Current Biology, 32(17), R910–R911. <a href="https://doi.org/10.1016/j.cub.2022.07.074" rel="noopener noreferrer">https://doi.org/10.1016/j.cub.2022.07.074</a> (<a href="https://pure.au.dk/portal/en/publications/brain-rhythms-how-control-gets-into-working-memory/?utm_source=chatgpt.com" rel="noopener noreferrer">pure.au.dk</a>)Pacheco, F., Vital, O., Carvalho, R., & de Melo, F. (2024). Callithrix jacchus [PDF]. CABI Compendium. <a href="https://www.researchgate.net/publication/389741491_Callithrix_jacchus" rel="noopener noreferrer">https://www.researchgate.net/publication/389741491_Callithrix_jacchus</a>Purchase, C., Lugarini, C., Purchase, C., Ferreira, A., Eichler Vercillo, U., Stafford, M. L., & White, T. H., Jr. (2024). Reintroduction of the extinct-in-the-wild Spix’s macaw (Cyanopsitta spixii) in the Caatinga forest domain of Brazil. Diversity 16(80), 1-22. <a href="https://doi.org/10.3390/d16020080" rel="noopener noreferrer">https://doi.org/10.3390/d16020080</a>Rezende, C. L., Scarano, F. R., Assad, E. D., Joly, C. A., Metzger, J. P., Strassburg, B. B. N., Tabarelli, M., Fonseca, G. A., & Mittermeier, R. A. (2018). From hotspot to hopespot: An opportunity for the Brazilian Atlantic Forest. Perspectives in Ecology and Conservation, 16(4), 208–214. <a href="https://doi.org/10.1016/j.pecon.2018.10.002" rel="noopener noreferrer">https://doi.org/10.1016/j.pecon.2018.10.002</a>Smith, D., Abeli, T., Beckman Bruns, E., Dalrymple, S. E., Foster, J., Gilbert, T. C., Hogg, C. J., Lloyd, N. A., Meyer, A., Moehrenschlager, A., Murrell, O., Rodriguez, J. P., Smith, P. P., Terry, A. & Ewen, J. G. (2023). Extinct in the wild: The precarious state of Earth’s most threatened group of species. Conservation biology 379, 6634. <a href="https://doi.org/10.1126/science.add2889" rel="noopener noreferrer">https://doi.org/10.1126/science.add2889</a></p>
April 16, 2026
IA en Medicina: algoritmos que salvan vidas
<p>La inteligencia artificial está transformando la medicina. En este episodio exploramos cómo funciona la inteligencia artificial en el campo médico, qué problemas puede ayudar a resolver y cuáles son los desafíos éticos y científicos que aún enfrenta. ¿Puede una máquina diagnosticar enfermedades con mayor precisión que un médico? ¿Cómo está cambiando la inteligencia artificial la práctica médica actual y qué implicaciones tiene para el futuro de la saludReferencias- Ávila-Tomás, J. F., Mayer-Pujadas, M. A., Quesada-Varela, V. J. (2020). Artificial intelligence and its applications in medicine II: Current importance and practical applications. Atem primaria 53: 81-88 https://doi.org/10.1016/j.aprim.2020.04.014- Couzin-Frankel, J. (2019). Medicine contends with how to use artificial intelligence. Science. https://doi.org/10.1126/science.364.6446.1119- de Vries, C. F., Lip, G., Staff, R. T., et al. (2026). Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: The GEMINI study. Nature Cancer, 7, 484–493. https://doi.org/10.1038/s43018-026-01126-1- Jumper, J., Evans, R., Pritzel, A., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature, 596, 583–589. https://doi.org/10.1038/s41586-021-03819-2- Lanzagorta-Ortega D., Carrillo-Pérez D. L., Carrillo-Esper R. (2023). Inteligencia artificial en medicina: presente y futuro. Gaceta Médica de México. https://doi.org/10.24875/gmm.m22000688 ****- Li, J., Wang, S., Zhang, M., Li, W., Lai, Y., Kang, X., Ma, W., & Liu, Y. (2024). Agent hospital: A simulacrum of hospital with evolvable medical agents. arXiv. https://doi.org/10.48550/arXiv.2405.02957- Ng, A. Y., Oberije, C. J. G., Ambrózay, É., et al. (2023). Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer. Nature Medicine, 29, 3044–3049. https://doi.org/10.1038/s41591-023-02625-9- Olawade, D. B., Teke, J., Fapohunda, O., Weerasinghe, K., Usman, S. O., Ige, A. O., & David-Olawade, A. C. (2024). Leveraging artificial intelligence in vaccine development: A narrative review. Journal of Microbiological Methods 224 https://doi.org/10.1016/j.mimet.2024.106998- Opel, N., & Breakspear, M. (2026). Transforming mental health research and care through artificial intelligence. Science, 391(6782), 249–? https://doi.org/10.1126/science.adz9193- Rajpurkar, P., Irvin, J., Zhu, K., Yang, B., Mehta, H., Duan, T., Ding, D., Bagul, A., Langlotz, C., Shpanskaya, K., Lungren, M. P., & Ng, A. Y. (2017). CheXNet: Radiologist-level pneumonia detection on chest X-rays with deep learning (versión 3). arXiv. https://doi.org/10.48550/arXiv.1711.05225- Rejeleene R. & Mehta N. B. (2026). Artificial intelligence in medicine: How it works, how it fails. Cleveland Clinic Journal of Medicine. https://doi.org/10.3949/ccjm.93a.25089- Teo, Z. L., Thirunavukarasu, A. J., Elangovan, K., Cheng, H., Moova, P., Soetikno, B., Nielsen, C., Pollreisz, A., Ting, D. S. J., Morris, R. J. T., Shah, N. H. y Langlotz, C. P. (2025). Generative artificial intelligence in medicine. Nature Medicine, 31, 3270–3282. https://doi.org/10.1038/s41591-025-03983-2- Topol E. J. (2023). As artificial intelligence goes multimodal, medical applications multiply. Science. [https://doi.org/](https://doi.org/10.48550/arXiv.1711.05225)[10.1126/science.adk6139](https://doi.org/10.1126/science.adk6139)- Yip, M., Salcudean, S., Goldberg, K., Althoefer, K., Menciassi, A., Opfermann, J. D., Krieger, A., Swaminathan, K., Walsh, C. J., Huang, H., & Lee, I.-C. (2023). Artificial intelligence meets medical robotics. Science, 381(6654), 141–146. https://doi.org/10.1126/science.adj3312
44 total episodes available
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